Generate realistic PDB files with mixed secondary structures for testing, education and bioinformatics tool development. Jupyter Notebook tutorials are available to visualize the concepts..
PDBe MCP Servers integrate Protein Data Bank Europe resources with LLMs via Model Context Protocol. Provides seamless access to protein structure data through API tools and graph database schema assistance for intelligent Cypher query generation, bridging structural biology and AI research.
Generate realistic PDB files with mixed secondary structures for testing, education and bioinformatics tool development. Jupyter Notebook tutorials are available to visualize the concepts..
A set of python tools to deal with PDB chemical components definitions for small molecules, taken from the wwPDB Chemical Component Dictionary, uses RDKit
JAX-native differentiable protein folding framework integrating experimental NMR constraints (RDCs) and biophysical "self-correction." Several Jupyter Notebooks visualize the concepts.
AI-native tensor format (.ptt) for protein-structure ML. Convert a structure or sequence once; load backbone, MSA, ESM embeddings, sparse pair features, and ligands with zero parsing. Feeds AlphaFold/Boltz (Boltz-2 verified). Zarr-backed, lossless, PyTorch/JAX-ready, streams from S3/GCS.
A high-performance, pure Rust library for full-atom protein side-chain packing using the DREIDING force field, Goldstein+Split DEE, and tree-decomposition DP—with native protein–ligand and protein–nucleic acid interface support.