The strongest binder from a primary screen is not necessarily the best drug starting point. Peptide discovery campaigns should capture molecular architecture, biological context, time, and...
The error points to a big question for pharma as AI gains autonomy and high-profile failures sharpen safety concerns: What happens when a wrong answer becomes...
High-throughput proteomics combined with AI-based structural modeling helped researchers discover molecular glues that degrade VAV1. The approach could support new therapies for blood cancers and autoimmune...
The consortium aims to address antibody development bottlenecks by creating standardized datasets and AI models that support earlier risk detection and more informed candidate selection. The...
AI-assisted genomic analysis was combined with human genetics and fruit fly experiments to link reduced BRSK1 function to a variable neurodevelopmental disorder. The post AI Tool...
Nature Biotechnology, Published online: 28 September 2026; doi:10.1038/s41587-026-03331-wThe thermostability of RNA vaccines is improved with AI.
Nature Biotechnology, Published online: 28 September 2026; doi:10.1038/s41587-026-03330-xAGENT, an AI-driven framework integrating high-throughput experimentation with Bayesian optimization, enables the rapid engineering of thermostabl...
Predicting whether a cancer patient will respond to therapy has long been one of oncology’s most consequential gambles. For people with metastatic non-small cell lung cancer,...
Every day, pathologists around the world peer through microscopes at glass slides no bigger than a postage stamp, yet each one can contain billions of pixels...
Every pill that survives the journey from the stomach into the bloodstream owes much of its success to a single molecular gatekeeper. The human intestinal peptide...
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