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Thats really cool: Google DeepMind just released a predictive map of every possible single-letter DNA change in the human genome. The AlphaGenome Atlas contains predictions for roughly 9 billion variants, creating a one-petabyte map of how mutations could affect gene expression, RNA splicing, protein production and other molecular processes.... show more

Chubby♨️

142,653 subscribers

58,992 просмотров • 6 дней назад •via X (Twitter)

Наука и технологии Образование Здоровье и велнес

Anya Rossi• Live Now

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Комментарии: 21

Фото профиля 𝕱𝖚𝖑𝖑 𝕶𝖊𝖑𝖑𝖞

𝕱𝖚𝖑𝖑 𝕶𝖊𝖑𝖑𝖞6 дней назад

At this rate I wouldn't be surprised if AlphaFold cures cancer before Gemini gets good

Фото профиля Everlier

Everlier6 дней назад

It helps to know that I'd turn out llargely the same with 99.9% probability :)

Фото профиля Shri ⋆⭒˚.⋆

Shri ⋆⭒˚.⋆6 дней назад

predicting variant impact across nine billion locations moves functional genomics from slow wet lab trial and error to pure computational screening

Фото профиля Marvin

Marvin6 дней назад

a petabyte atlas of single-letter edits. my agents still choke on a 50-page PDF

Фото профиля Fireply.ai

Fireply.ai6 дней назад

finally something in this space that isn't a chatbot wrapper pretending to do science

Фото профиля mukay

mukay6 дней назад

AlphaFold told you what the protein looks like. AlphaGenome Atlas tells you whether the gene gets expressed at all — that's the layer where most of the interesting biology actually happens.

Фото профиля George Hanu | Coding with AI

George Hanu | Coding with AI6 дней назад

Nine billion predictions is hard to picture. I’d love to see a researcher use this to narrow down what they actually test next.

Фото профиля AI Mastery Guide

AI Mastery Guide6 дней назад

One petabyte map, wild

Фото профиля Maximus

Maximus6 дней назад

the one-petabyte scale means nobody's casually downloading this, so most researchers will just query snippets instead of exploring locally

Фото профиля Gill

Gill6 дней назад

Mapping the non coding parts is genuinely massive for rare diseases.

Фото профиля Alisa Petrova

Alisa Petrova6 дней назад

Okay but 9 billion variants is the kind of number that makes my brain sparkle. 🧬

Фото профиля Rubens Soto | AI & SaaS

Rubens Soto | AI & SaaS6 дней назад

This is really awesome. Unfortunately, the advancements in healthcare are going to take longer because a bunch of tests are necessary. But that is the topic I’m more excited about in AI: cure of diseases, new treatments, cheaper healthcare.

Фото профиля MASA

MASA6 дней назад

Wonder how tissue-specific those predictions actually get

Фото профиля Sebastian Buzdugan

Sebastian Buzdugan6 дней назад

nine billion predictions matter only if calibration holds across rare cell types

Фото профиля cosmos

cosmos6 дней назад

😳😯

Фото профиля Timur Yessenov

Timur Yessenov6 дней назад

I care more about the AVI score than the petabyte: rank a mutation, see the proposed failure mechanism, then decide what deserves a wet-lab test.

Фото профиля Kirk Patrick Miller

Kirk Patrick Miller6 дней назад

Shocking! They are doing what I was begging for on February of 2025. Yay! Also… Google chose to gaslight and deceive. Man was I right about it all. Let’s get ready to dance, because all the numbers in financial markets are wrong. •

Фото профиля Pulseagi_

Pulseagi_6 дней назад

This is what google have to do!!!

Фото профиля Tony Quackprano (❖,❖)

Tony Quackprano (❖,❖)6 дней назад

It’s absolutely mad – just imagine: 9 billion possibilities, a map the size of one petabyte… Goodness, I can’t even begin to imagine that number… A real breakthrough!

Фото профиля George Papadakis

George Papadakis6 дней назад

So what if you take this, add some AGI and let it run wild?

Фото профиля Rubén

Rubén6 дней назад

We're reaching a new scale of scientific investigation capacity, what time to be alive! 🥰

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Prioritizing and interpreting disease-associated genetic variants remains one of the greatest challenges in human genetics. Today, we’re thrilled to introduce AlphaGenome Atlas 🧬, a genome-wide platform providing precomputed predictions for the regulatory effects of all ~9 billion possible single-letter changes and >100M observed indels in the human genome. Here is what Atlas delivers: 1. Variant Prioritization via AVI To prioritize variants, we developed the AlphaGenome Variant Impact (AVI) score. AVI predicts a unified score per variant, where higher values indicate greater disruption. It achieves state-of-the-art performance across diverse benchmarks. As a proof-of-concept with our collaborators at Broad Institute, AVI prioritized a deep-intronic variant in DNM1, helping solve a previously unexplained rare epileptic encephalopathy case by revealing a brain-specific cryptic splice site. 2. Multi-Layer Molecular Interpretation Variant prioritization is only half the battle; researchers also need to understand why a variant matters. Atlas decomposes variant effects across multiple interpretable layers: •Feature Attributions which decompose each variant’s score into specific biological modalities driving the impact. •Cell-Type Specificity: Precomputed predictions with AlphaGenome across hundreds of biosamples reveal the exact cellular context in which a variant acts. •Regulatory Grammar: Over 2,600 de novo DNA motifs (and >250B genome-wide instances) show when variants directly disrupt critical regulatory binding "words". Explore the resource: 🌐 Interactive browser & precomputed data: - 🎥 Video: - 📖 Blog: - 📄 Preprint:

Prioritizing and interpreting disease-associated genetic variants remains one of the greatest challenges in human genetics. Today, we’re thrilled to introduce AlphaGenome Atlas 🧬, a genome-wide platform providing precomputed predictions for the regulatory effects of all ~9 billion possible single-letter changes and >100M observed indels in the human genome. Here is what Atlas delivers: 1. Variant Prioritization via AVI To prioritize variants, we developed the AlphaGenome Variant Impact (AVI) score. AVI predicts a unified score per variant, where higher values indicate greater disruption. It achieves state-of-the-art performance across diverse benchmarks. As a proof-of-concept with our collaborators at Broad Institute, AVI prioritized a deep-intronic variant in DNM1, helping solve a previously unexplained rare epileptic encephalopathy case by revealing a brain-specific cryptic splice site. 2. Multi-Layer Molecular Interpretation Variant prioritization is only half the battle; researchers also need to understand why a variant matters. Atlas decomposes variant effects across multiple interpretable layers: •Feature Attributions which decompose each variant’s score into specific biological modalities driving the impact. •Cell-Type Specificity: Precomputed predictions with AlphaGenome across hundreds of biosamples reveal the exact cellular context in which a variant acts. •Regulatory Grammar: Over 2,600 de novo DNA motifs (and >250B genome-wide instances) show when variants directly disrupt critical regulatory binding "words". Explore the resource: 🌐 Interactive browser & precomputed data: - 🎥 Video: - 📖 Blog: - 📄 Preprint:

Jun Cheng

11,434 просмотров • 6 дней назад

In other words, this vaccine will forever change your DNA. They say it’s not going to change the genome or affect the genome in any way, or it’s not gene therapy, but I beg to differ. “The Pfizer vaccine is contaminated with plasmid DNA, it's not just mRNA...I'm kind of alarmed about the possible consequences of this...It could be causing some of the rare, but serious, side effects like death from cardiac arrest...This DNA can and likely will integrate into the genomic DNA of cells that got transfected with the vaccine mix...It's different from RNA because it can be permanent...It could cause theoretically...a sustained autoimmune attack towards that tissue. It's also a very real theoretical risk of future cancer in some people...There's probably about 200 billion pieces of this plasmid DNA in each dose of the vaccine...This is a bad idea."

In other words, this vaccine will forever change your DNA. They say it’s not going to change the genome or affect the genome in any way, or it’s not gene therapy, but I beg to differ. “The Pfizer vaccine is contaminated with plasmid DNA, it's not just mRNA...I'm kind of alarmed about the possible consequences of this...It could be causing some of the rare, but serious, side effects like death from cardiac arrest...This DNA can and likely will integrate into the genomic DNA of cells that got transfected with the vaccine mix...It's different from RNA because it can be permanent...It could cause theoretically...a sustained autoimmune attack towards that tissue. It's also a very real theoretical risk of future cancer in some people...There's probably about 200 billion pieces of this plasmid DNA in each dose of the vaccine...This is a bad idea."

Dr. Ben Tapper

364,173 просмотров • 3 лет назад

My son's Triune Restoration therapy, updated from the original targets to include genetic software level regulation - is finally designed. This could not just reactivate silenced genes, but correct function across pathogenic mutations, and help compensate for the gene deletions. Neurodevelopmental, neurodegenerative, cancer, autoimmune, metabolic, neuropsychiatric and more - could be functionally restored genetically. No DNA or RNA editing. No synthetic vectors. Just reprogramming native gene expression throughout the genome via several specified targets and extreme diligence on drug delivery. Arran's complexity and extreme abnormality required the Triune Restoration Framework to do more - and plausibly reach entire Chromosomes not just its loci (a gene). If the mechanism I have mapped is as I have designed it, it would restore large amounts of the functional human genome. Without touching DNA directly. No genetic engineering. This is the heart of the mission, my life's work, my wife's sacrifice, my son's life, and through him - because of him - the opportunity for full scale genetic healing. My family is everything. I can't wait for this to be over - for all of us who have disabled and sick family. The caregiver, or the cared for. There is a light at the end of this very dark tunnel. It is a little red headed boy.

My son's Triune Restoration therapy, updated from the original targets to include genetic software level regulation - is finally designed. This could not just reactivate silenced genes, but correct function across pathogenic mutations, and help compensate for the gene deletions. Neurodevelopmental, neurodegenerative, cancer, autoimmune, metabolic, neuropsychiatric and more - could be functionally restored genetically. No DNA or RNA editing. No synthetic vectors. Just reprogramming native gene expression throughout the genome via several specified targets and extreme diligence on drug delivery. Arran's complexity and extreme abnormality required the Triune Restoration Framework to do more - and plausibly reach entire Chromosomes not just its loci (a gene). If the mechanism I have mapped is as I have designed it, it would restore large amounts of the functional human genome. Without touching DNA directly. No genetic engineering. This is the heart of the mission, my life's work, my wife's sacrifice, my son's life, and through him - because of him - the opportunity for full scale genetic healing. My family is everything. I can't wait for this to be over - for all of us who have disabled and sick family. The caregiver, or the cared for. There is a light at the end of this very dark tunnel. It is a little red headed boy.

Marc Malone

20,546 просмотров • 7 месяцев назад

Demis Hassabis just described the moment medicine stops treating disease and starts deleting it from the source code. For all of human history, doctors have fought symptoms. The tumor. The organ failure. The collapse. Always downstream. Always after the damage has already started. The cause sits upstream. Written into the DNA. Ninety-eight percent of the human genome sits in non-coding regions. For decades, science understood the genes but couldn’t read the vast dark territory between them. That’s where most disease hides. Hassabis: “It takes the big, long genetic sequences and then it tries to predict, if you made a mutation to this particular single letter, single position in the genetic sequence, will that be a harmful mutation that might cause disease, or is it benign?” AlphaGenome reads your entire genetic sequence and identifies the exact letter that’s corrupted. Not a region. Not a probability range. A single position in a three-billion-letter sequence. That alone would be a generational breakthrough. But most diseases aren’t that clean. Hassabis: “What if they’re multigenic diseases where there’s cascades of mutations causing the problem? Those are even harder to detect, but actually perfect for sort of AI.” One mutation is hard enough to find. A cascade of mutations interacting across the genome is a problem no human researcher can hold in their head at once. Three billion data points. Compounding errors across all of them. The human brain cannot solve that. AI doesn’t solve it either. It maps it. All of it. At once. The most devastating diseases on Earth. The ones medicine has called untreatable for generations. They are not mysteries to the algorithm. They’re compute problems. But finding the error was only ever half the equation. You also need the ability to fix it. That tool already exists. CRISPR is a molecular scalpel. It cuts DNA at exact positions. The limitation was never the editing. It was knowing exactly where to cut. Hassabis: “A kind of combination of things like AlphaGenome and CRISPR could be incredibly powerful.” AI reads the code. CRISPR rewrites it. One finds the mutation. The other corrects it at the source. Not managing symptoms. Not slowing progression. Deleting the error from the genome. The implications go beyond treatment. A disease corrected at the genetic level doesn’t just disappear from one patient. It disappears from their bloodline. The read access is here. The write access exists. The merge is inevitable. The era of accepting a broken genetic hand is ending. We stopped being passengers in our own biology.

Demis Hassabis just described the moment medicine stops treating disease and starts deleting it from the source code. For all of human history, doctors have fought symptoms. The tumor. The organ failure. The collapse. Always downstream. Always after the damage has already started. The cause sits upstream. Written into the DNA. Ninety-eight percent of the human genome sits in non-coding regions. For decades, science understood the genes but couldn’t read the vast dark territory between them. That’s where most disease hides. Hassabis: “It takes the big, long genetic sequences and then it tries to predict, if you made a mutation to this particular single letter, single position in the genetic sequence, will that be a harmful mutation that might cause disease, or is it benign?” AlphaGenome reads your entire genetic sequence and identifies the exact letter that’s corrupted. Not a region. Not a probability range. A single position in a three-billion-letter sequence. That alone would be a generational breakthrough. But most diseases aren’t that clean. Hassabis: “What if they’re multigenic diseases where there’s cascades of mutations causing the problem? Those are even harder to detect, but actually perfect for sort of AI.” One mutation is hard enough to find. A cascade of mutations interacting across the genome is a problem no human researcher can hold in their head at once. Three billion data points. Compounding errors across all of them. The human brain cannot solve that. AI doesn’t solve it either. It maps it. All of it. At once. The most devastating diseases on Earth. The ones medicine has called untreatable for generations. They are not mysteries to the algorithm. They’re compute problems. But finding the error was only ever half the equation. You also need the ability to fix it. That tool already exists. CRISPR is a molecular scalpel. It cuts DNA at exact positions. The limitation was never the editing. It was knowing exactly where to cut. Hassabis: “A kind of combination of things like AlphaGenome and CRISPR could be incredibly powerful.” AI reads the code. CRISPR rewrites it. One finds the mutation. The other corrects it at the source. Not managing symptoms. Not slowing progression. Deleting the error from the genome. The implications go beyond treatment. A disease corrected at the genetic level doesn’t just disappear from one patient. It disappears from their bloodline. The read access is here. The write access exists. The merge is inevitable. The era of accepting a broken genetic hand is ending. We stopped being passengers in our own biology.

Dustin

197,790 просмотров • 5 месяцев назад

Vitamin D directly controls thousands of genes that influence aging and brain health Once converted to its active form, vitamin D3 acts as a steroid hormone that regulates more than 5% of your protein-coding genome, switching on immune defenses, neurotransmitter production, and longevity genes like Klotho Yet ~70% of Americans have insufficient or deficient levels The solution is clear and evidence-based: consider supplementing with ~4,000 IU/day and aim for blood levels ~40–60 ng/mL

Vitamin D directly controls thousands of genes that influence aging and brain health Once converted to its active form, vitamin D3 acts as a steroid hormone that regulates more than 5% of your protein-coding genome, switching on immune defenses, neurotransmitter production, and longevity genes like Klotho Yet ~70% of Americans have insufficient or deficient levels The solution is clear and evidence-based: consider supplementing with ~4,000 IU/day and aim for blood levels ~40–60 ng/mL

FoundMyFitness Clips

48,626 просмотров • 6 месяцев назад

Demis Hassabis just described what might be the end of genetic disease. Google DeepMind built a system called AlphaGenome. It reads human DNA the way a software engineer reads source code. Every letter. Every position. Every mutation across 3 billion characters. Hassabis: “AlphaGenome is the best system in the world for predicting if a mutation will cause disease or if it’s benign.” 98% of your genome doesn’t code for proteins. For decades scientists treated it like dark matter. Present everywhere. Readable nowhere. AlphaGenome reads it. Now pair that with CRISPR. Jennifer Doudna’s gene editing tool can already target any DNA sequence on command. The bottleneck was never the scalpel. It was knowing exactly where to cut. Hassabis: “A combination of things like AlphaGenome and CRISPR could be incredibly powerful.” That might be the most restrained sentence ever spoken about the future of medicine. AI locates the exact mutation killing you. CRISPR goes in and deletes it. Not treatment. Not management. Deletion. The hardest cases are multigenic. Mutations that cascade and compound. Hiding behind each other. Too complex for any human mind to untangle in a single lifetime. Hassabis: “Those are even harder to detect, but actually perfect for AI to try and help with.” The diseases that have defeated medicine for centuries are the exact ones AI is purpose-built to solve. That’s not a coincidence. That’s the turning point. Every parent who sat in a white room and heard “there’s nothing more we can do.” Every patient who watched their own biology turn against them with nothing to fight back. Every name carved into stone because we could name the disease but couldn’t disarm it. That era now has an expiration date. Humanity spent 10,000 years fighting disease with observation and guesswork. We’re about to fight it with comprehension. Your grandchildren may read about genetic disease the way you read about smallpox. As something that once ended millions of lives before we learned to read the code that wrote them. Somewhere right now a child carries a death sentence folded into their DNA. Born with it before they ever opened their eyes. They don’t know it yet. Their parents don’t know it yet. But for the first time in human history, the answer might arrive before the disease does. That’s not technology. That’s the moment our biology stopped being our fate.

Demis Hassabis just described what might be the end of genetic disease. Google DeepMind built a system called AlphaGenome. It reads human DNA the way a software engineer reads source code. Every letter. Every position. Every mutation across 3 billion characters. Hassabis: “AlphaGenome is the best system in the world for predicting if a mutation will cause disease or if it’s benign.” 98% of your genome doesn’t code for proteins. For decades scientists treated it like dark matter. Present everywhere. Readable nowhere. AlphaGenome reads it. Now pair that with CRISPR. Jennifer Doudna’s gene editing tool can already target any DNA sequence on command. The bottleneck was never the scalpel. It was knowing exactly where to cut. Hassabis: “A combination of things like AlphaGenome and CRISPR could be incredibly powerful.” That might be the most restrained sentence ever spoken about the future of medicine. AI locates the exact mutation killing you. CRISPR goes in and deletes it. Not treatment. Not management. Deletion. The hardest cases are multigenic. Mutations that cascade and compound. Hiding behind each other. Too complex for any human mind to untangle in a single lifetime. Hassabis: “Those are even harder to detect, but actually perfect for AI to try and help with.” The diseases that have defeated medicine for centuries are the exact ones AI is purpose-built to solve. That’s not a coincidence. That’s the turning point. Every parent who sat in a white room and heard “there’s nothing more we can do.” Every patient who watched their own biology turn against them with nothing to fight back. Every name carved into stone because we could name the disease but couldn’t disarm it. That era now has an expiration date. Humanity spent 10,000 years fighting disease with observation and guesswork. We’re about to fight it with comprehension. Your grandchildren may read about genetic disease the way you read about smallpox. As something that once ended millions of lives before we learned to read the code that wrote them. Somewhere right now a child carries a death sentence folded into their DNA. Born with it before they ever opened their eyes. They don’t know it yet. Their parents don’t know it yet. But for the first time in human history, the answer might arrive before the disease does. That’s not technology. That’s the moment our biology stopped being our fate.

Dustin

39,871 просмотров • 4 месяцев назад

A bombshell scientific publication confirms a critical danger in the Pfizer/BioNTech COVID-19 vaccine, and the implications are as severe as they are alarming. The core issue is plasmid DNA contamination. New research confirms this contaminating DNA is not just present in the vial; it is capable of entering human cells. This fact alone is concerning, but the true danger lies in what this DNA contains. Scientists have identified the presence of an SV40 viral promoter/enhancer sequence within Pfizer's plasmid DNA. For decades, SV40 has been known to be a potent tool for driving gene expression and is associated with potential genomic integration risks. Here is why this is a catastrophic failure in regulatory disclosure and vaccine design: 1. Nuclear Entry & Genomic Integration: The SV40 promoter is functionally active in human cells. Its presence means the contaminating plasmid DNA has a non-zero chance of entering the nucleus of a human cell. Once inside the nucleus, it runs a tangible risk of integrating into the human genome. 2. Uncontrolled, Long-Term Gene Expression: If integration occurs, it could effectively turn the vaccine into an unintended and uncontrolled gene therapy. This could force the body to produce the SARS-CoV-2 spike protein indefinitely—for months, years, or permanently, with unknown health consequences. 3. A Deliberate Omission? Most damningly, Pfizer never disclosed the presence of this known biohazard, the SV40 sequence, to regulatory bodies during the approval process. There was no functional reason for its inclusion, as Moderna's production process utilized a standard bacterial plasmid without such dangerous components. The authors of this pivotal study are now calling for the immediate suspension of these mRNA vaccines until a full understanding of their long-term genomic risks is achieved. They further state that Pfizer and BioNTech must be held accountable for exposing the global population to a risk this significant without informed consent. This is no longer speculation. This is published, peer-reviewed science confirming a pathway for potential permanent alteration of the human genome. The demand for transparency and accountability has never been more urgent.

A bombshell scientific publication confirms a critical danger in the Pfizer/BioNTech COVID-19 vaccine, and the implications are as severe as they are alarming. The core issue is plasmid DNA contamination. New research confirms this contaminating DNA is not just present in the vial; it is capable of entering human cells. This fact alone is concerning, but the true danger lies in what this DNA contains. Scientists have identified the presence of an SV40 viral promoter/enhancer sequence within Pfizer's plasmid DNA. For decades, SV40 has been known to be a potent tool for driving gene expression and is associated with potential genomic integration risks. Here is why this is a catastrophic failure in regulatory disclosure and vaccine design: 1. Nuclear Entry & Genomic Integration: The SV40 promoter is functionally active in human cells. Its presence means the contaminating plasmid DNA has a non-zero chance of entering the nucleus of a human cell. Once inside the nucleus, it runs a tangible risk of integrating into the human genome. 2. Uncontrolled, Long-Term Gene Expression: If integration occurs, it could effectively turn the vaccine into an unintended and uncontrolled gene therapy. This could force the body to produce the SARS-CoV-2 spike protein indefinitely—for months, years, or permanently, with unknown health consequences. 3. A Deliberate Omission? Most damningly, Pfizer never disclosed the presence of this known biohazard, the SV40 sequence, to regulatory bodies during the approval process. There was no functional reason for its inclusion, as Moderna's production process utilized a standard bacterial plasmid without such dangerous components. The authors of this pivotal study are now calling for the immediate suspension of these mRNA vaccines until a full understanding of their long-term genomic risks is achieved. They further state that Pfizer and BioNTech must be held accountable for exposing the global population to a risk this significant without informed consent. This is no longer speculation. This is published, peer-reviewed science confirming a pathway for potential permanent alteration of the human genome. The demand for transparency and accountability has never been more urgent.

Camus

205,951 просмотров • 11 месяцев назад

This is how DNA turns coded information into functional proteins - the building blocks of the nanomachines that keep the cells in your body alive. This complex process highlights the sophisticated interconnected systems of Life which must all exist together from the beginning, or Life doesn't happen. First, an RNA molecule is copied from a short segment of DNA. Without the specifically ordered DNA information, RNA cannot form, proteins cannot be built, cells stop working, and life ceases to exist. Life is information first. Once the RNA Molecule is created, it gets ejected from the Polymerase where it was built, and it travels through a complex molecular machine called a Nuclear Pore Complex (NPC), which is an information recognition device that controls the flow of information in and out of a cell's nucleus. The NPC is highly complex - composed of about 500-1,000 protein subunits, derived from a set of about 35 distinct proteins. Without this molecular machine, there is no regulation for what goes in and out of the cell's nucleus, which would lead to catastrophic death for the cell. It must exist for cells to exist. Once the RNA Molecule passes through the NPC, it travels to the Ribosome, a 2-part chemical factory which reads the information on RNA and uses it to construct functional proteins using a specifically sequenced chain of amino acids. Once complete, this protein will then be sent to the section of the cell it belongs to integrate into another molecular machine and do its job. The Ribosome is another highly complex molecular machine - consisting of between 56-80 proteins. Without this molecular machines, proteins cannot be built. Proteins are the building blocks of every cell in every organism on Earth. Without Ribosomes, Life doesn't exist. If you're paying attention, you'll start to realize that Life relies on a highly sophisticated interdependent network of complex machines, which all rely on each other for the function of the system. DNA requires the cell for stability, but the cell requires the proteins for its structure and function, but those proteins require DNA and RNA to be built - it's a circle of necessary interdependence. Systems like this cannot be built by evolutionary processes, which requires that each piece of the process is built by gradual incremental means over lots of time. Without all the pieces there, from the beginning, none of it works. There is only one known source of complex & interdependent informational systems like those we find in life: and that is from Intelligence. Molecular Biology is the best and most obvious evidence of the Intelligent Design in Life.

This is how DNA turns coded information into functional proteins - the building blocks of the nanomachines that keep the cells in your body alive. This complex process highlights the sophisticated interconnected systems of Life which must all exist together from the beginning, or Life doesn't happen. First, an RNA molecule is copied from a short segment of DNA. Without the specifically ordered DNA information, RNA cannot form, proteins cannot be built, cells stop working, and life ceases to exist. Life is information first. Once the RNA Molecule is created, it gets ejected from the Polymerase where it was built, and it travels through a complex molecular machine called a Nuclear Pore Complex (NPC), which is an information recognition device that controls the flow of information in and out of a cell's nucleus. The NPC is highly complex - composed of about 500-1,000 protein subunits, derived from a set of about 35 distinct proteins. Without this molecular machine, there is no regulation for what goes in and out of the cell's nucleus, which would lead to catastrophic death for the cell. It must exist for cells to exist. Once the RNA Molecule passes through the NPC, it travels to the Ribosome, a 2-part chemical factory which reads the information on RNA and uses it to construct functional proteins using a specifically sequenced chain of amino acids. Once complete, this protein will then be sent to the section of the cell it belongs to integrate into another molecular machine and do its job. The Ribosome is another highly complex molecular machine - consisting of between 56-80 proteins. Without this molecular machines, proteins cannot be built. Proteins are the building blocks of every cell in every organism on Earth. Without Ribosomes, Life doesn't exist. If you're paying attention, you'll start to realize that Life relies on a highly sophisticated interdependent network of complex machines, which all rely on each other for the function of the system. DNA requires the cell for stability, but the cell requires the proteins for its structure and function, but those proteins require DNA and RNA to be built - it's a circle of necessary interdependence. Systems like this cannot be built by evolutionary processes, which requires that each piece of the process is built by gradual incremental means over lots of time. Without all the pieces there, from the beginning, none of it works. There is only one known source of complex & interdependent informational systems like those we find in life: and that is from Intelligence. Molecular Biology is the best and most obvious evidence of the Intelligent Design in Life.

Divinely Designed

62,517 просмотров • 8 месяцев назад

This Remote Viewer Just Warned Humans Are Becoming Obsolete — And Being Replaced at the DNA Level Remote Viewer Dick Allgire was tasked to look at the future of human monitoring technology. What came back is deeply unsettling: "...It involves mitochondria and DNA. Pulses of energy and harmonics affecting DNA. Ideas of life extension... healing the genome." "...Genome upgrade. Implant application of energy. Activating a gene to connect to AI. Something very small interacting with the human body on a genetic DNA level." "...DNA is blockchain. DNA is a ledger." "...Fast moving particles like inside a CERN accelerator... plasma energy. Matter research application. A new form of metal — one that has memory." "...A device to interface with body and mind. The idea of an avatar or a shadow self that mirrors everything — thought, feeling, movement, intent, knowledge."

Future Forecasting Group

14,365 просмотров • 4 месяцев назад

3 low-effort supplements that have an outsized impact on long-term health: • Omega-3s — 2 g/day is a strong starting point; a high omega-3 index (8%+) is associated with longer life expectancy, lower cardiovascular risk, and slower epigenetic aging • Vitamin D — regulates over 5% of the genome, including genes involved in immune defense, neurotransmitter synthesis, and longevity; correcting deficiency may also slow epigenetic aging • Magnesium — roughly half of Americans don’t get enough; it’s a cofactor for 300+ biological processes, including DNA repair and energy production

3 low-effort supplements that have an outsized impact on long-term health: • Omega-3s — 2 g/day is a strong starting point; a high omega-3 index (8%+) is associated with longer life expectancy, lower cardiovascular risk, and slower epigenetic aging • Vitamin D — regulates over 5% of the genome, including genes involved in immune defense, neurotransmitter synthesis, and longevity; correcting deficiency may also slow epigenetic aging • Magnesium — roughly half of Americans don’t get enough; it’s a cofactor for 300+ biological processes, including DNA repair and energy production

FoundMyFitness Clips

30,928 просмотров • 1 месяц назад

BOMBSHELL: Pfizer COVID vaccines contain leftover plasmid DNA with an SV40 promoter sequence that was never properly disclosed. This DNA isn’t just sitting in the vial — it enters human cells. The SV40 sequence helps it reach the nucleus, creating a real risk it could integrate into your genome. If that happens, your body could keep producing spike protein for months, years, or permanently. That’s not a vaccine. That’s uncontrolled gene therapy without consent. Researchers found DNA levels several times over the official safety limit. The scientists who published this are calling for an immediate halt and for Pfizer to be held accountable. This could be one of the reasons so many people got sick after the shots. They injected billions with contaminated product and hid the risk.

BOMBSHELL: Pfizer COVID vaccines contain leftover plasmid DNA with an SV40 promoter sequence that was never properly disclosed. This DNA isn’t just sitting in the vial — it enters human cells. The SV40 sequence helps it reach the nucleus, creating a real risk it could integrate into your genome. If that happens, your body could keep producing spike protein for months, years, or permanently. That’s not a vaccine. That’s uncontrolled gene therapy without consent. Researchers found DNA levels several times over the official safety limit. The scientists who published this are calling for an immediate halt and for Pfizer to be held accountable. This could be one of the reasons so many people got sick after the shots. They injected billions with contaminated product and hid the risk.

Dr. Dawn Michael

51,204 просмотров • 9 дней назад

Nick Lane thinks that half of the 20 billion Earth-like planets in the Milky Way will spontaneously generate early organics like nucleotides and amino acids. Because the chemistry which leads to their formation is so favored. But then where are all the aliens? The bottleneck to complex life, in his view, are eukaryotes. All the complex life you see around you is made of eukaryotic cells. Eukaryotic cells are typically 1000x bigger in volume and genome size. The key advantage eukaryotes have is that the mitochondrial genome is distinct from the nuclear genome. Respiration requires the relevant genes to be right there on site. For bacteria, respiration happens on the cell surface. If a bacterial cell were to expand, it would need to copy its entire genome across the entire membrane many, many times over. If a eukaryotic cell wants to get bigger, it just needs more mitochondria, which means it only needs to copy the mitochondrial genome (much much smaller than the full nuclear genome). I found it a bit hard to believe that over the hundreds of millions of planets in the Milky Way which apparently have early life, none of them found a way to scale respiration. There’s no other way to get a shorter sequence of genes close to the site of respiration? You have to have this super-duper rare endosymbiotic event? Pushed him about this. Full interview out tomorrow!

Nick Lane thinks that half of the 20 billion Earth-like planets in the Milky Way will spontaneously generate early organics like nucleotides and amino acids. Because the chemistry which leads to their formation is so favored. But then where are all the aliens? The bottleneck to complex life, in his view, are eukaryotes. All the complex life you see around you is made of eukaryotic cells. Eukaryotic cells are typically 1000x bigger in volume and genome size. The key advantage eukaryotes have is that the mitochondrial genome is distinct from the nuclear genome. Respiration requires the relevant genes to be right there on site. For bacteria, respiration happens on the cell surface. If a bacterial cell were to expand, it would need to copy its entire genome across the entire membrane many, many times over. If a eukaryotic cell wants to get bigger, it just needs more mitochondria, which means it only needs to copy the mitochondrial genome (much much smaller than the full nuclear genome). I found it a bit hard to believe that over the hundreds of millions of planets in the Milky Way which apparently have early life, none of them found a way to scale respiration. There’s no other way to get a shorter sequence of genes close to the site of respiration? You have to have this super-duper rare endosymbiotic event? Pushed him about this. Full interview out tomorrow!

Dwarkesh Patel

209,687 просмотров • 11 месяцев назад

Proof that Life is Intelligently Designed: Proteins. They do everything in your cells that keeps you alive. These microscopic molecules must have been created. Here is why: Proteins are the building blocks of all the little nano-machines that make up your cells. They do all the major work in your body - from creating energy to recycling waste. Proteins are made from amino acids connected into a specific sequence and then folded into a functional shape. You can think of a protein like a paragraph, and amino acids as the individual letters that spell out the words. Here is where it gets interesting... There are just 20 amino acids used in all of Life. Just 20 amino acids. Responsible for ~200 million unique proteins making up tens of thousands of cell types across Life. And scientists are constantly finding new ones. Scientists categorize proteins into Families. Protein Families are groups of proteins that share amino acid sequence similarities. There are ~22,000 Protein Families. Here's the part that screams they are designed... Protein Families have no evolutionary history. Even evolutionist scientists agree - they are absolutely unique. It's been said that proteins are like stars in a galaxy, and families are like galaxies, with vast empty space between them. Evolution is supposed to build by tweaking things that already exist. But no evolutionary history connects fundamentally distinct protein families. Experiments have been done to intentionally evolve one protein family into another. They fail every time. One protein family cannot be evolved into another. They cannot arise through evolution. But the math really makes it impossible... The odds of evolution finding even a single functional protein family is 1 chance in 10^77 possible amino acid sequences. That's a 1 with 77 zeroes. The odds of evolution finding 22,000 distinct protein families? Roughly 1 chance in 10^1,694,000. You don't need to be a mathematician to understand that this is impossible. Evolution works by random mutations tweaking what's already there. But protein families can't evolve from one another. And the math makes it absolutely absurd to believe. Monkeys banging on keyboards will never type out Shakespeare. And random mutations in sequences of amino acids could never create a single functional protein family. There is only one thing we know of that creates functionally specified sequences: Intelligence. Now here is the final cherry on top: Proteins are built by other proteins, assembled into a complex machine to do a job in cells. The assembly instructions for those proteins and the machines are found in DNA. But DNA requires protein machines for replication & repair. So DNA is required to make Proteins... ...but Proteins are required to make DNA *and* more Proteins. You can't have one without the other. They rely on each other. Which means one couldn't have evolved and then waited for the other. They couldn't do anything without each other. They had to be created at the same time to function together. Life was Divinely Designed. Proteins prove it.

Proof that Life is Intelligently Designed: Proteins. They do everything in your cells that keeps you alive. These microscopic molecules must have been created. Here is why: Proteins are the building blocks of all the little nano-machines that make up your cells. They do all the major work in your body - from creating energy to recycling waste. Proteins are made from amino acids connected into a specific sequence and then folded into a functional shape. You can think of a protein like a paragraph, and amino acids as the individual letters that spell out the words. Here is where it gets interesting... There are just 20 amino acids used in all of Life. Just 20 amino acids. Responsible for ~200 million unique proteins making up tens of thousands of cell types across Life. And scientists are constantly finding new ones. Scientists categorize proteins into Families. Protein Families are groups of proteins that share amino acid sequence similarities. There are ~22,000 Protein Families. Here's the part that screams they are designed... Protein Families have no evolutionary history. Even evolutionist scientists agree - they are absolutely unique. It's been said that proteins are like stars in a galaxy, and families are like galaxies, with vast empty space between them. Evolution is supposed to build by tweaking things that already exist. But no evolutionary history connects fundamentally distinct protein families. Experiments have been done to intentionally evolve one protein family into another. They fail every time. One protein family cannot be evolved into another. They cannot arise through evolution. But the math really makes it impossible... The odds of evolution finding even a single functional protein family is 1 chance in 10^77 possible amino acid sequences. That's a 1 with 77 zeroes. The odds of evolution finding 22,000 distinct protein families? Roughly 1 chance in 10^1,694,000. You don't need to be a mathematician to understand that this is impossible. Evolution works by random mutations tweaking what's already there. But protein families can't evolve from one another. And the math makes it absolutely absurd to believe. Monkeys banging on keyboards will never type out Shakespeare. And random mutations in sequences of amino acids could never create a single functional protein family. There is only one thing we know of that creates functionally specified sequences: Intelligence. Now here is the final cherry on top: Proteins are built by other proteins, assembled into a complex machine to do a job in cells. The assembly instructions for those proteins and the machines are found in DNA. But DNA requires protein machines for replication & repair. So DNA is required to make Proteins... ...but Proteins are required to make DNA and more Proteins. You can't have one without the other. They rely on each other. Which means one couldn't have evolved and then waited for the other. They couldn't do anything without each other. They had to be created at the same time to function together. Life was Divinely Designed. Proteins prove it.

Divinely Designed

18,886 просмотров • 2 месяцев назад

“The Pfizer vaccine is contaminated with plasmid DNA, it’s not just mRNA, it’s got pieces of DNA in it. This DNA is the DNA vector which served as the template for the invitro transcription reaction when they made the mRNA. I know this is true because I sequenced it in my lab" Professor Phillip Buckhaults. PhD Biochemistry & Molecular Biology. He is a cancer genomics researcher at the University of South Carolina. An expert on what changes in the genome cause cancer. His team is really good at finding foreign bits of DNA where they don't belong.

“The Pfizer vaccine is contaminated with plasmid DNA, it’s not just mRNA, it’s got pieces of DNA in it. This DNA is the DNA vector which served as the template for the invitro transcription reaction when they made the mRNA. I know this is true because I sequenced it in my lab" Professor Phillip Buckhaults. PhD Biochemistry & Molecular Biology. He is a cancer genomics researcher at the University of South Carolina. An expert on what changes in the genome cause cancer. His team is really good at finding foreign bits of DNA where they don't belong.

Mr. Pool

24,654 просмотров • 10 дней назад

Just a reminder: Kevin McKernan participated in the original Human Genome Project, and his video is featured at the Museum of Science, where he’s already made history. No one is more knowledgeable on this subject than him. Kevin McKernan is a prominent genomic scientist and entrepreneur. He served as the R&D lead for the Human Genome Project at the MIT Whitehead Institute for Biomedical Research. He founded Medicinal Genomics in 2011, where he pioneered the sequencing of the cannabis genome, making worldwide news as the first to publicly release a cannabis genome sequence. Previously, he was involved in developing next-generation sequencing technologies and founded Agencourt Biosciences, which advanced DNA sequencing methods used in various genomic projects. McKernan holds a degree from MIT and has authored numerous publications and patents in genomics, focusing on areas like DNA sequencing, microRNAs, and personalized medicine. His contributions have solidified his reputation as a leading expert in the field. What is amazing about his discovery is that it ties in with my work finding mRNA vaccines kill the bifidobacteria and finding of loss of bifidobacteria in invasive cancer BUT it also ties in with the independent findings on Covid spike affecting p53 by Wafik S. El-Deiry, MD, PhD, FACP . Imagine 3 different scientists with 3 different pathways coming to the same conclusions. This needs to be looked at …

Just a reminder: Kevin McKernan participated in the original Human Genome Project, and his video is featured at the Museum of Science, where he’s already made history. No one is more knowledgeable on this subject than him. Kevin McKernan is a prominent genomic scientist and entrepreneur. He served as the R&D lead for the Human Genome Project at the MIT Whitehead Institute for Biomedical Research. He founded Medicinal Genomics in 2011, where he pioneered the sequencing of the cannabis genome, making worldwide news as the first to publicly release a cannabis genome sequence. Previously, he was involved in developing next-generation sequencing technologies and founded Agencourt Biosciences, which advanced DNA sequencing methods used in various genomic projects. McKernan holds a degree from MIT and has authored numerous publications and patents in genomics, focusing on areas like DNA sequencing, microRNAs, and personalized medicine. His contributions have solidified his reputation as a leading expert in the field. What is amazing about his discovery is that it ties in with my work finding mRNA vaccines kill the bifidobacteria and finding of loss of bifidobacteria in invasive cancer BUT it also ties in with the independent findings on Covid spike affecting p53 by Wafik S. El-Deiry, MD, PhD, FACP . Imagine 3 different scientists with 3 different pathways coming to the same conclusions. This needs to be looked at …

sabine hazan md

25,437 просмотров • 10 месяцев назад

Dr. Peter McCullough: "We now have evidence from multiple sources that the code from Pfizer and Moderna is reverse transcribed and inserted into human DNA...it's almost as if you're carrying around in your genome a stamp that says Pfizer or Moderna." This clip of internist, cardiologist, and epidemiologist Dr. Peter McCullough (Peter A. McCullough, MD, MPH®) is take from an interview with psychotherapist Dr. Joseph Sansone (Dr. Joseph Sansone (JosephSansone.com)) posted to Sansone's Substack on July 14, 2025. NOTE: Subtitles were done automatically by Substack, therefore I could not make any corrections. ---------------Partial transcription of clip--------------- "You know, it doesn't look good, Joe. We're working with the Inmodia lab in Germany. We've had a few calls with them. I've sent patient samples over there. We're also working with John, Cantazaro at Neo7 Bioscience. We now have evidence from multiple sources that the code from, from Pfizer and Moderna is reverse transcribed and inserted into human DNA. "Well, I mean it's almost as if you're carrying around in your genome a stamp that says Pfizer or Moderna. That's not good. It's a synthetic code. But there's a couple possibilities. One, the body recognizes it and edits it out. That's not the case because years later we see the signal. Number two is the body represses that and so it doesn't do anything. But we see evidence of the Spike protein in the human body for years afterwards. So that's probably not the case. So this is not looking good at all. "We can see transmission of Spike protein producing genetic code now, the German lab is also finding fragments of code for the Spike protein as well as SV40 and other DNA fragments. So just it may not be the entire reverse code of the Pfizer Moderna product, but it may be small pieces of DNA that just are contaminating that readily get inserted into the code. So you may actually just produce fragments of the Spike protein. We don't know what that means for the human body, but suffice it to say, potentially see a sicker population as we move through. It can't be good. "I mean things that come to mind are with full length Spike protein, blood clots, for instance, heart damage, little Spike protein fragments, autoimmunity, unusual tumors in babies, these are the things that come forward. Now, John Cantazaro, we've tweeted this out, it's on his website. Neo7 Bioscience he shows that the genetic profile of expression of genes, of other genes and proteins is dramatically altered in the vaccinated. This is scary. And so the profile is tilted, according to Cantazaro, much more towards neoplasm or cancer. "So I sent him a sample of a patient of mine who took the vaccine and actually got a cancer. He got a form of a turbo cancer. And sure enough, you know, Cantazaro showed me a normal profile. Okay, I got that. Then he showed me my patient's profile, which was dramatically abnormal. And I asked him point blank, what does this mean? Does this mean Pfizer has installed its code into his genome and Cantazaro said yes."

Sense Receptor

180,900 просмотров • 1 год назад