Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Message Passing Neural Networks for Molecule Property Prediction
An AI co-scientist running on your desktop. Claude Science but better.
Protein Graph Library
BoltzGen: Toward Universal Binder Design
NequIP is a code for building E(3)-equivariant interatomic potentials
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
BioNeMo Recipes: For building and adapting AI models in drug discovery at scale
Working with molecular structures in pandas DataFrames
π A ranked list of awesome atomistic machine learning projects βοΈπ§¬π.
Interaction Fingerprints for protein-ligand complexes and more
Easy, fast, and memory-efficient structure prediction inference
ShEPhERD-2 code: Interaction Profiles as a Universal Language for Generative Molecular Design
Agent Skills for small-molecule and protein therapeutics: cheminformatics, molecular ML, docking and dynamics, protein design platforms, and target-discovery knowledge graphs.
DrugTargetWorld: a synthetic biobank for training and benchmarking AI scientists on end-to-end drug target discovery. Paper: arXiv:2610.09558