Topic
drug discovery
Scientists Use AI and Quantum Computing to Generate New Peptides in Spare Time
Researchers at the Technical University of Denmark used a hybrid AI-quantum computing system to generate novel peptides, achieving better results than classical models especially with limited data. The work, done on weekends with leftover funds, could accelerate personalized immunotherapies and vaccines.
Emyx: New AI Model Generates All-Atom Proteins Faster and More Efficiently
Researchers have developed Emyx, a 140M-parameter conditional flow matching model for all-atom protein generation. Despite being the smallest model, Emyx outperforms both Proteína-Complexa and RFdiffusion3 on the AME enzyme design benchmark across success rate, structural novelty, scaffold diversity, and geometric validity, while training in just 682 GPU-hours—roughly 4× less than RFdiffusion3.
TxBench-PP Benchmark Reveals No AI Agent Reliably Matches Preclinical Pharmacology Decisions
Researchers introduced TxBench-PP, a verifiable benchmark for AI agents in small-molecule preclinical pharmacology. Across 16 model-harness configurations and 4,800 trajectories, no system reliably recovered pharmacology decisions; the top performer, Claude Opus 4.8 / Pi, passed 59.3% of endpoint attempts.