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Learn more about Boltz-2, the new open source AI model from MIT and Recursion capable of predicting protein binding affinity with unprecedented speed, scale and accuracy. ▪️ Boltz-2 is the first model to combine structure and binding affinity prediction, approaching the accuracy of physics-based free energy perturbation (FEP) calculations...

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Recursion

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15,593 次观看 • 1 年前 •via X (Twitter)

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Recursion1 年前

Learn more and explore Boltz-2 here:

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UserInterface2 年前

Unveiling the Future of Prompt Engineering for Better AI Interactions #tech

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Helmer1 年前

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Excited to unveil Boltz-2, our new model capable not only of predicting structures but also binding affinities! Boltz-2 is the first AI model to approach the performance of FEP simulations while being more than 1000x faster! All open-sourced under MIT license! A thread… 🤗🚀
0:39

Excited to unveil Boltz-2, our new model capable not only of predicting structures but also binding affinities! Boltz-2 is the first AI model to approach the performance of FEP simulations while being more than 1000x faster! All open-sourced under MIT license! A thread… 🤗🚀

Gabriele Corso

311,668 次观看 • 1 年前

From sequence to structure, in one sentence.⚡ Today’s Agent Spotlight: Boltz-2 Structure Prediction Agent on ASI:One. Built on Massachusetts Institute of Technology (MIT)’s cutting-edge Boltz-2 model and deployed via NVIDIA's API, this agent generates 3D biomolecular structures just from a natural language prompt. Supports proteins, DNA, RNA, ligands, constraints, and even MSA data. Ideal for drug discovery, molecular biology, and biotech research. Try now: Link to Agent: Watch 👇
2:09

From sequence to structure, in one sentence.⚡ Today’s Agent Spotlight: Boltz-2 Structure Prediction Agent on ASI:One. Built on Massachusetts Institute of Technology (MIT)’s cutting-edge Boltz-2 model and deployed via NVIDIA's API, this agent generates 3D biomolecular structures just from a natural language prompt. Supports proteins, DNA, RNA, ligands, constraints, and even MSA data. Ideal for drug discovery, molecular biology, and biotech research. Try now: Link to Agent: Watch 👇

Fetch.ai

13,972 次观看 • 10 个月前

Here's how to predict binding of tens or hundreds of small molecules to protein assemblies using Boltz 2 in ChimeraX. Accuracy depends on how similar the ligands and binding pockets are to existing experimental structures.
2:57

Here's how to predict binding of tens or hundreds of small molecules to protein assemblies using Boltz 2 in ChimeraX. Accuracy depends on how similar the ligands and binding pockets are to existing experimental structures.

ChimeraX (bsky: chimerax.ucsf.edu)

12,798 次观看 • 9 个月前

Boltz-2 was released recently. It is an Open Source protein-ligand co-folding model, which means it can predict the structure of a protein along with the ligand. It has various applications from drug discovery to protein design. I thought why not make a OSS web app for it.
2:00

Boltz-2 was released recently. It is an Open Source protein-ligand co-folding model, which means it can predict the structure of a protein along with the ligand. It has various applications from drug discovery to protein design. I thought why not make a OSS web app for it.

Ravi Sharma

43,890 次观看 • 1 年前

Wohoo!! 🎉 You can now generate 3D structures of proteins, RNA, DNA, and small molecules. 🚀 Check out BOLTZ! — the first open-source and commercially available model to achieve AlphaFold3-level accuracy in biomolecular structure prediction. 🧪 Try it yourself on Gradio ! Explore and generate different proteins and viruses: For faster inference, check it out here (on L4): 👉 Let's make biology more open on Hugging Face ! If there’s anything to fear, it’s tech being closed :) !
0:23

Wohoo!! 🎉 You can now generate 3D structures of proteins, RNA, DNA, and small molecules. 🚀 Check out BOLTZ! — the first open-source and commercially available model to achieve AlphaFold3-level accuracy in biomolecular structure prediction. 🧪 Try it yourself on Gradio ! Explore and generate different proteins and viruses: For faster inference, check it out here (on L4): 👉 Let's make biology more open on Hugging Face ! If there’s anything to fear, it’s tech being closed :) !

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We’ve released Open Molecules 2025 (OMol25), a new Density Functional Theory (DFT) dataset for molecular chemistry, and Meta's Universal Model for Atoms (UMA), a machine learning interatomic potential. These tools will accelerate molecular and materials discovery, unlocking new possibilities for innovation and impact. OMol25 is the largest and most diverse dataset of high accuracy quantum chemistry calculations for biomolecules, metal complexes, and electrolytes. UMA is trained on over 30 billion atoms to provide more accurate predictions and improved understanding of molecular behavior. Download the papers, models, and datasets for OMol25 and UMA ➡️

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41,795 次观看 • 1 年前

Today we’re previewing NeuralPLexer3 Beta: demonstrating unprecedented accuracy and speed in predicting protein-drug complexes, with instant and accurate structural insights across the full range of protein classes and drug molecules. Learn more:
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Today we’re previewing NeuralPLexer3 Beta: demonstrating unprecedented accuracy and speed in predicting protein-drug complexes, with instant and accurate structural insights across the full range of protein classes and drug molecules. Learn more:

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We built Open Gamma An Open Source Presentation Generator with Composio Tool Router and AI SDK - Generate Presentations in Google Slides instantly - Can research on the topic with web search - Can connect and fetch data from multiple data sources like Hubspot, Slack, Notion and more Completely free and open source link to the code:
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40,455 次观看 • 6 个月前

The most effective AI systems don't rely on a single model. Frontier models provide state-of-the-art performance for complex tasks, while routers automatically select lightweight, open-source models for simpler jobs to optimize accuracy, latency, and cost. Learn more:
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NVIDIA

64,788 次观看 • 8 个月前

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AI creators now have the economic infrastructure to build, deploy, and earn; it's 100% open-source and community-driven. OpenLedger offers unmatched transparency, flexibility, and the tools you need to build the future of AI on your terms. OpenLedger is a decentralized, open-source blockchain designed for sourcing, training, and monetizing AI models. Learn more about in this video 👇

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DeepSeek dropped a massive new AI tool and almost nobody noticed. It’s called DeepSeek OCR. Here’s why it’s wild. It can read documents with 97% accuracy. While compressing them up to 10× smaller. And the craziest part? It’s completely free and open source. The GitHub repo is already live and you can download it right now. This might quietly become one of the most useful AI tools of the year.

Julian Goldie SEO

15,306 次观看 • 3 个月前

🔹 AI drug discovery, validated. Recursion recently announced the first clinical validation of its AI-enabled drug discovery platform – positive Phase 1b/2 data for the ongoing TUPELO study evaluating its AI-identified drug, REC-4881, in Familial Adenomatous Polyposis (FAP). This progressive rare disease affects more than 50,000 people in the U.S. and EU and has no FDA-approved treatments. It results in hundreds to thousands of polyps developing in the colon, and requires a lifetime of invasive surveillance and surgery. Recursion used AI not only to deliver the first potential treatment for this disease but also to quantify – for the first time at scale – the true natural progression of polyp burden in the trial-relevant population. It demonstrates the incredible breakthroughs that can come from merging proprietary data and AI – and the tangible impact on patient lives. 👉 See the full study results here:
1:29

🔹 AI drug discovery, validated. Recursion recently announced the first clinical validation of its AI-enabled drug discovery platform – positive Phase 1b/2 data for the ongoing TUPELO study evaluating its AI-identified drug, REC-4881, in Familial Adenomatous Polyposis (FAP). This progressive rare disease affects more than 50,000 people in the U.S. and EU and has no FDA-approved treatments. It results in hundreds to thousands of polyps developing in the colon, and requires a lifetime of invasive surveillance and surgery. Recursion used AI not only to deliver the first potential treatment for this disease but also to quantify – for the first time at scale – the true natural progression of polyp burden in the trial-relevant population. It demonstrates the incredible breakthroughs that can come from merging proprietary data and AI – and the tangible impact on patient lives. 👉 See the full study results here:

Recursion

255,879 次观看 • 6 个月前

Introducing a small portion of proprietary phenomics data from Recursion into the training of MolGPS, our foundation model for molecular property prediction, led to massive performance increases on new & existing benchmarks. Learn more about the impact of data & scale.
1:46

Introducing a small portion of proprietary phenomics data from Recursion into the training of MolGPS, our foundation model for molecular property prediction, led to massive performance increases on new & existing benchmarks. Learn more about the impact of data & scale.

Valence Labs

10,091 次观看 • 1 年前

Molecular design for AI agents: announcing the Tamarind MCP Server. Today, scientists can use the Tamarind Bio library of 250+ molecular design tools(Boltz, AlphaFold, RFdiffusion...) in any AI chat interface. We serve not just open-source models, but the internal protocols your team has onboarded to Tamarind. Any tool added to Tamarind is then available across the MCP server, Tamarind web app, and API, so it can be used in chat-based agents, multi-step pipelines, ELNs, and LIMS-connected workflows. Our goal is simple: make Tamarind the place where scientists can access the BioAI tools they need, wherever they want to work, while we handle the infrastructure. Many users have already incorporated our MCP into their internal AI agents, along with community efforts like Blatant-Why building apps on top of Tamarind. Try out our tooling for antibody design, small molecule virtual screening, developability/ADMET scoring and more!
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Molecular design for AI agents: announcing the Tamarind MCP Server. Today, scientists can use the Tamarind Bio library of 250+ molecular design tools(Boltz, AlphaFold, RFdiffusion...) in any AI chat interface. We serve not just open-source models, but the internal protocols your team has onboarded to Tamarind. Any tool added to Tamarind is then available across the MCP server, Tamarind web app, and API, so it can be used in chat-based agents, multi-step pipelines, ELNs, and LIMS-connected workflows. Our goal is simple: make Tamarind the place where scientists can access the BioAI tools they need, wherever they want to work, while we handle the infrastructure. Many users have already incorporated our MCP into their internal AI agents, along with community efforts like Blatant-Why building apps on top of Tamarind. Try out our tooling for antibody design, small molecule virtual screening, developability/ADMET scoring and more!

Deniz Kavi

14,469 次观看 • 2 个月前