AlphaFold Database

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 • 2 shared operations

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

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 • 1 shared operation

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 • 1 shared operation

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 • 1 shared operation