Stars
Protein-protein interaction network constructed with STRING database
Data Munging for BioGRID data to form interaction networks for further processing.
A Motif Hash Based Method for Matching Crosslinkers into Peptides and Proteins
Chai-1, SOTA model for biomolecular structure prediction
Open source implementation of AlphaFold3
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
PINDER: The Protein INteraction Dataset and Evaluation Resource
A short course on proteins and protein design aimed at early career students
Protein Ligand INteraction Dataset and Evaluation Resource
Listing of papers about machine learning for proteins.
Protein-Ligand Benchmark Dataset for Free Energy Calculations
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
InteractionGraphNet: a Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein-Ligand Interaction Prediction and Large-scale Structure-based Virtual Screening
A nano protein structure prediction model based on DeepMind's AlphaFold paper
Implementation of Alphafold 3 in Pytorch
Fast and accurate protein domain segmentation using Invariant Point Attention
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
3D equivariant graph transformer for all-atom refinement of protein tertiary structures
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
A collection of resources and papers on Diffusion Models
NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model
python tools for TCR:peptide-MHC modeling and analysis
[AAAI'24] DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
DeeplyTough: Learning Structural Comparison of Protein Binding Sites