Drug Discovery

concepts · 10 notes linked

Related: Large Language Models · AI For Science · Github · Foundation Models · Ginkgo Bioworks · Openai · Active Learning · AI Agents

Notes

• 'Chemistry will no longer be an exclusive club': how AI is changing Omar Yaghi's work — AI accelerating metal-organic framework discovery for climate applications
• AI can now model and design the genetic code for all domains of life with Evo 2 | Arc Institute — Largest open-source AI biology model trained on 9.3 trillion nucleotides
• From Data to Drugs: The Role of Artificial Intelligence in Drug Discovery — AI and foundation models transforming pharmaceutical drug discovery pipelines
• GitHub - OpenADMET/openadmet-models: Machine learning workflows for the OpenADMET project — Open-source ML framework for drug ADMET property prediction tasks
• GitHub - XinmengLiao/Open_MoA: Open MoA is a potent tool for identifying the underlying drug mechanism of actions (MoAs), core biological pathways, and key targets. — R tool predicting drug mechanism of action via network topology
• Heuristics for lab robotics, and where its future may go — Three ideological camps driving wet-lab automation future
• Introducing Amazon Bio Discovery | Amazon Web Services — AWS agentic platform for lab-in-the-loop drug discovery
• Meet DrugAgent: A Multi-Agent Framework for Automating Machine Learning in Drug Discovery — LLM multi-agent system automating end-to-end drug discovery ML pipelines
• Simulating scientists: A new tool for AI-powered scientific discovery — LLM tool mimics scientists for molecular property prediction
• Two biotechs say they're using AI to conjure drugs from scratch. Their documents suggest otherwise — Biotech firms' AI drug-design claims scrutinized against actual evidence