Alternatives and similar repositories for deepH3-distances-orientations

Users that are interested in deepH3-distances-orientations are comparing it to the libraries listed below

• oxpig / ABlooper
  Tool for modelling the CDRs of antibodies
  ☆50Updated 2 years ago
• oxpig / Paragraph
  Antibody paratope prediction using Graph Neural Networks with minimal feature vectors
  ☆37Updated 2 years ago
• ProteinDesignLab / protein_seq_des
  Code for our paper "Protein sequence design with a learned potential"
  ☆80Updated 2 years ago
• Furman-Lab / Peptide_docking_with_AF2_and_RosettAfold
  Code and data used in https://doi.org/10.1101/2021.08.01.454656
  ☆53Updated 3 years ago
• dina-lab3D / NanoNet
  ☆49Updated 2 years ago
• jproney / AF2Rank
  ☆112Updated 2 years ago
• hiranumn / DeepAccNet
  Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
  ☆90Updated 4 years ago
• sirimullalab / DLSCORE
  DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity
  ☆48Updated 2 years ago
• oxpig / dlab-public
  Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"
  ☆31Updated 2 years ago
• RosettaCommons / Rosetta-DL
  A bundle of deep-learning packages for biomolecular structure prediction and design contributed to the Rosetta Commons
  ☆36Updated 2 years ago
• JinyuanSun / DDGScan
  DDGScan: an integrated parallel workflow for the in silico point mutation scan of protein
  ☆48Updated last year
• sarisabban / RamaNet
  Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
  ☆52Updated 6 months ago
• stemylonas / DeepSurf
  A surface-based deep learning approach for the prediction of ligand binding sites on proteins
  ☆44Updated 2 years ago
• zhenglz / onionnet
  A multiple-layer inter-molecular contact features based deep neural network for protein-ligand binding affinity prediction
  ☆81Updated 4 years ago
• ranganathanlab / bmDCA
  Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).
  ☆35Updated 5 years ago
• rochoa85 / PepFun
  Bioinformatics and Cheminformatics protocols for peptide analysis
  ☆43Updated 2 years ago
• Wublab / Pythia
  Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutations
  ☆66Updated 2 months ago
• oxpig / Graphinity
  Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity
  ☆50Updated 2 months ago
• delalamo / af2_conformations
  A series of scripts that facilitate the prediction of protein structures in multiple conformations using AlphaFold2
  ☆97Updated 2 years ago
• KULL-Centre / _2024_cagiada_stability
  ☆71Updated 6 months ago
• brennanaba / ABlooper
  Tool for modelling the CDRs of antibodies
  ☆32Updated 2 years ago
• clami66 / AF_unmasked
  Source code and examples for AlphaFold Unmasked
  ☆73Updated 4 months ago
• patrickbryant1 / Cfold
  Structure prediction of alternative protein conformations
  ☆78Updated 7 months ago
• tommyhuangthu / EvoEF2
  Physical energy function for protein sequence design
  ☆33Updated 2 years ago
• ostrokach / proteinsolver
  Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.
  ☆59Updated 4 years ago
• dahjan / DMS_opt
  ☆72Updated 5 years ago
• sarisabban / RosettaDesign
  RosettaDesign using PyRosetta
  ☆32Updated 6 years ago
• patrickbryant1 / AFProfile
  Improved protein complex prediction with AlphaFold-multimer by denoising the MSA profile
  ☆69Updated last year
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆25Updated last year
• matteoferla / rdkit_to_params
  Create or modify Rosetta params files (topology files) from scratch, RDKit mols or another params file
  ☆35Updated 2 months ago