Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

How could #AlphaFold 3 transform drug discovery? Most drugs are small molecules known as ligands that bind to proteins to change how they interact in human health and disease. AlphaFold 3 can predict these interactions to atomic accuracy.

75,322 görüntüleme • 2 yıl önce •via X (Twitter)

9 Yorum

Isomorphic Labs profil fotoğrafı
Isomorphic Labs2 yıl önce

At Iso, we’re using AlphaFold 3 in combination with our own proprietary AI tools and continuing to advance the accuracy and power of our platform through application to real-world therapeutic challenges.

Isomorphic Labs profil fotoğrafı
Isomorphic Labs2 yıl önce

Our scientists are now equipped with the ability to quickly and accurately predict the structure of complexes that have never been characterised before.

Isomorphic Labs profil fotoğrafı
Isomorphic Labs2 yıl önce

Hypotheses can now be tested at the atomic level, and produce highly accurate structure predictions within seconds, standing in stark contrast to the months, or even years, required to experimentally determine answers to similar questions.

Isomorphic Labs profil fotoğrafı
Isomorphic Labs2 yıl önce

This helps us unlock novel approaches to drug design for targets that previously were difficult or undruggable.

Isomorphic Labs profil fotoğrafı
Isomorphic Labs2 yıl önce

We’re excited by the potential AlphaFold 3 holds to unlock a wealth of opportunities for biological research and therapeutic impact – from the discovery of new disease targets, to novel mechanisms for drug design. Find out more:

Bo Qiang profil fotoğrafı
Bo Qiang2 yıl önce

Anyone knows how to input non-standard ligand into the alphafold server? seems like only a number of ligands like ATP, ADP, etc are allowed. We cannot fed the server with SMILES or sdf file.

moonbi 🇪🇺🪢 profil fotoğrafı
moonbi 🇪🇺🪢2 yıl önce

@TheAiGrid omg, agi in medical?

TeslaElon SpaceXFan profil fotoğrafı
TeslaElon SpaceXFan2 yıl önce

😍😍

Anthony Demeusy profil fotoğrafı
Anthony Demeusy2 yıl önce

We are moving from drug discovery to drug design!

Benzer Videolar

Demis Hassabis, the Nobel Prize winner who runs Google DeepMind just described the most consequential project on earth, and most people have no idea it exists. The project is called Isomorphic Labs and the goal is to end the way drugs have been developed for the last century. Here is the problem it is trying to solve. Developing a single drug today takes an average of 10 years, costs billions of dollars, and fails 90 percent of the time before it ever reaches a patient. Of every 10 drugs that enter clinical trials, only one makes it through. The other nine years of work, the other billions of dollars, the other scientific careers, gone. Hassabis believes AI can collapse that entire process from identifying a disease target to designing a compound that binds to it, predicts how it behaves in the body, and minimizes side effects , end to end, on a computer, before a single experiment is run. The foundation is AlphaFold, the AI system that solved one of biology's hardest problems predicting the 3D structure of every protein in the human body and won him the Nobel Prize in Chemistry in 2024. But knowing a protein's shape is only one part of designing a drug. Isomorphic is building what Hassabis describes as adjacent systems , AlphaFold 3, AlphaFold 4, and now a unified model called IsoDDE , that take the next steps. From designing the actual chemical compound that binds to the protein, predicting its binding strength, identifying new pockets to target that no one has ever found before. IsoDDE more than doubles the accuracy of AlphaFold 3 on the hardest protein-ligand prediction benchmarks that exist. Isomorphic is already running 18 to 19 live drug programs, cardiovascular disease, cancer, immunology in partnership with Eli Lilly, Novartis, and Johnson and Johnson. The first human clinical trial of a fully AI-designed drug is expected by the end of 2026. If that trial succeeds, it will be the first time in history that a drug put into a human body was designed not by a team of chemists working for a decade but by an AI working for months. Hassabis's long-term vision is even more direct, one day you describe a disease, click a button, and a drug blueprint comes out the other side. AI will solve almost all diseases within 10 years.

Milk Road AI

36,062 görüntüleme • 3 ay önce