ColabFold — fast protein structure prediction combining AlphaFold2 with MMseqs2 for rapid MSA generation. Predict monomer and multimer structures, generate multiple sequence alignments, run batch pred
Use with AI
Install the MCP server or CLI to instantly fetch ColabFold documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/colabfold
AlphaFold2 — deep learning system for predicting 3D protein structures from amino acid sequences with atomic-level accuracy. Uses multiple sequence alignments (MSAs) and an attention-based Evoformer a
2 shared topics • 3 shared operations
AlphaFold Database — public repository of 200M+ AI-predicted protein structures maintained by DeepMind and EMBL-EBI. Access predictions by UniProt accession via REST API at alphafold.ebi.ac.uk. Downlo
2 shared topics • 2 shared operations
Chai-1 -- multi-modal foundation model for molecular structure prediction from Chai Discovery. Predicts 3D structures of proteins, nucleic acids (DNA/RNA), small molecules, glycans, ions, and their co
2 shared topics • 2 shared operations
Rosetta — comprehensive macromolecular modeling suite for protein structure prediction, protein design, docking, loop modeling, and enzyme engineering. Includes RosettaFold for deep-learning structure
2 shared topics • 2 shared operations
RoseTTAFold — deep learning-based protein structure prediction using a three-track neural network architecture for simultaneous processing of 1D sequence, 2D distance maps, and 3D coordinates. Predict
2 shared topics • 2 shared operations