Researchers in biotech spend 30% to 40% of their time searching for data, according to McKinsey, because biomedical information is fragmented across disconnected systems. The real bottleneck is not da…
A tutorial demonstrates building an autonomous AI co-scientist for EGFR C797S inhibitor discovery using ChEMBL, RDKit, SHAP, and BRICS. The system mines IC50 data, trains a scaffold-split Random Fores…
Researchers introduced PairSAE, a method for mechanistic interpretability of protein co-folding models that summarizes pairwise tensors into token-level features, avoiding the quadratic blow-up of sta…
Researchers used deep learning to screen 19.3 million fragments from 2,897 prion-related proteins, identifying 1,179 candidate antimicrobial peptides called prionins. Of 75 synthesized prionins, 59 in…
Researchers introduced VFUSE, a mechanistic interpretability approach using sparse autoencoders to audit protein models for hazardous features. Applied to RoseTTAFold3 and RFDiffusion3, linear probes …