DhruvaRajwade's Stars
google-deepmind/alphafold3
AlphaFold 3 inference pipeline.
patrikx3/onenote
📚 Linux Electron Onenote - A Linux compatible version of OneNote
deepmodeling/deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics
jwohlwend/boltz
Official repository for the Boltz-1 biomolecular interaction model
Chen-Cai-OSU/awesome-equivariant-network
Paper list for equivariant neural network
bytedance/Protenix
A trainable PyTorch reproduction of AlphaFold 3.
LirongWu/awesome-protein-representation-learning
Awesome Protein Representation Learning
torchmd/torchmd
End-To-End Molecular Dynamics (MD) Engine using PyTorch
martinpacesa/BindCraft
User friendly and accurate binder design pipeline
torchmd/torchmd-net
Training neural network potentials
RosettaCommons/protein_generator
Joint sequence and structure generation with RoseTTAFold sequence space diffusion
SakanaAI/evo-memory
Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.
Valdes-Tresanco-MS/gmx_MMPBSA
gmx_MMPBSA is a new tool based on AMBER's MMPBSA.py aiming to perform end-state free energy calculations with GROMACS files.
DreamFold/FoldFlow
FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
colbyford/PyMOLfold
Plugin for folding sequences directly in PyMOL
cddlab/alphafold3_tools
Toolkit for alphafold3 input and output files
KULL-Centre/_2024_cagiada_stability
bowang-lab/Orthrus
Orthrus is a mature RNA model for RNA property prediction. It uses a mamba encoder backbone, a variant of state-space models specifically designed for long-sequence data, such as RNA.
liuyf020419/SCUBA-D
chao1224/GeoSSL
GeoSSL: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching, ICLR'23 (https://openreview.net/forum?id=CjTHVo1dvR)
epigen/MrBiomics
MrBiomics: Modules & Recipes augment Bioinformatics for Multi-Omics Analyses
compsciencelab/mdCATH
This repository houses all the scripts and notebooks utilized for generating, analyzing, and validating the mdCATH dataset. Some user examples are also available.
ChenyuWang-Monica/DRAKES
Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"
shizhouxing/Local-Lipschitz-Constants
[NeurIPS 2022] Code for paper "Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation"
bzho3923/CPDiffusion
oliviachang29/the-complete-works-of-agatha-christie
📚All of Agatha Christie's books, in .epub format.
HannesStark/GNN-primer
oxpig/Humatch
Fast, gene-specific joint humanisation of antibody heavy and light chains.
statbiophys/ABGen
Code for the Paper: Generative Model for Monoclonal Antibodies
shiroyasha263/shiroyasha263.github.io