GraphBAN Marries Graphs and LLMs to Predict New Compound-Protein Interactions Understanding how small molecules interact with proteins is a cornerstone of modern drug discovery. These compound–protein interactions (CPIs) determine whether a candidate molecule can modulate a bio... BAN CDAN compound-protein interactions domain adaptation drug discovery graph neural networks knowledge distillation
BoltzGen: Transforming Protein Binder Design with Open-Source Generative AI Designing protein and peptide binders for any biomolecular target once seemed out of reach, especially for novel or highly complex molecules. Today, BoltzGen is changing that narrative. This innovativ... binder discovery biotechnology drug discovery generative AI MIT research open source protein design structure prediction
Google’s Cell2Sentence C2S-Scale 27B AI Is Accelerating Cancer Therapy Discovery Artificial intelligence is setting a new standard in cancer research, with Google's C2S-Scale 27B model leading the way. This advanced AI formulates innovative, testable hypotheses that could shape th... biomedical AI cancer therapy drug discovery Gemma Google AI immunotherapy model validation single-cell analysis
Introducing SyntheMol-RL An Antibiotic Discovery Powered by Artificial Intelligence The escalating crisis of antibiotic resistance presents one of the most urgent threats to global public health, with millions of deaths linked to drug-resistant bacterial infections annually. Among th... Artificial Intelligence Chemistry drug discovery
Ether0 Is Transforming Chemistry with AI-Powered Scientific Reasoning ether0, FutureHouse's new open-source, 24-billion-parameter model, hints at a future where scientific breakthroughs are achieved faster thanks to AI models that excel at complex reasoning in fields li... AI chemistry AI safety drug discovery FutureHouse molecular design open source AI reinforcement learning scientific reasoning