Research Papers Topics
AI systems for protein structures, molecular interactions, and computational biology.
Biomolecular Modeling · AlphaFold 3 vs ESM3 vs ProGen2 vs DynamicMPNN vs Feynman-Kac steering
Protein design is five different tasks wearing one name: AlphaFold 3 predicts structures, ESM3 and ProGen2 generate sequences, DynamicMPNN does inverse folding, and Feynman-Kac steering drives a diffusion designer.
Biomolecular Modeling · Independent Researcher
DynamicMPNN turns multi-state protein sequence design into a concrete research object, with evidence anchors, method tradeoffs, and limits for practical use.
Biomolecular Modeling · Independent Researcher
Feynman-Kac steering turns controllable protein design with guided diffusion into a concrete research object, with evidence anchors, method tradeoffs, and limits for practical use.
Biomolecular Modeling · Independent Researcher
ProGen2 turns protein sequence modeling and design into a concrete research object, with evidence anchors, method tradeoffs, and limits for practical use.
Biomolecular Modeling · EvolutionaryScale
ESM3 is a multimodal protein language model over sequence, structure, and function; it generated a fluorescent protein only 58% identical to known fluorescent proteins.
GENEB probes frozen representations from 40 genomic foundation models across 100 tasks in 13 functional categories, and finds rankings flip across categories while extra parameters buy only modest, inconsistent gains.
Biomolecular Modeling · Google DeepMind
AlphaFold 3 replaces AlphaFold 2's structure module with a diffusion network and predicts whole complexes — proteins with nucleic acids, ligands, ions, and modified residues — in one model.