Alternatives and similar repositories for pdb_to_cm

Users that are interested in pdb_to_cm are comparing it to the libraries listed below

• FangpingWan / DeepCPI
  ☆17Updated 5 years ago
• MartinThoma / propy3
  A Python 3 version of the protein descriptor package propy
  ☆43Updated 2 years ago
• skinnider / low-data-generative-models
  ☆20Updated 4 years ago
• sun-heqi / MultiPPIMI
  A deep learning framework for predicting interactions between protein-protein interaction targets and modulators
  ☆14Updated last year
• alexarnimueller / LSTM_peptides
  Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.
  ☆76Updated 2 years ago
• biomed-AI / GraphPPIS
  ☆52Updated last year
• 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
• ElwynWang / DeepFragLib
  ☆29Updated 5 years ago
• jivankandel / PUResNet
  Predicting protein-ligand binding sites using deep convolutional neural network
  ☆50Updated 10 months ago
• guangyu-zhou / MuPIPR
  ☆24Updated 4 years ago
• fimrie / DeLinker
  ☆38Updated 4 years ago
• DS3Lab / RosENet
  ☆37Updated 4 years ago
• MahaThafar / Affinity2Vec
  Drug-target binding affinity prediction using representation learning, graph mining, and machine learning
  ☆24Updated 3 years ago
• ericmjl / protein-interaction-network
  Computes a molecular graph for protein structures.
  ☆58Updated last week
• gv20-therapeutics / antibody-in-pytorch
  Machine learning models for antibody sequences in PyTorch
  ☆40Updated 4 years ago
• samgoldman97 / enz-pred
  ☆17Updated 3 years ago
• CMACH508 / AlphaDrug
  AlphaDrug: Protein Target Specific De Novo Molecular Generation
  ☆40Updated 2 years ago
• sarisabban / RamaNet
  Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
  ☆52Updated 5 months ago
• CSUBioGroup / BACPI
  A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.
  ☆32Updated 2 years ago
• Graylab / deepH3-distances-orientations
  ☆35Updated 3 years ago
• Shen-Lab / gcWGAN
  Guided Conditional Wasserstein GAN for De Novo Protein Design
  ☆37Updated 4 years ago
• sirimullalab / DLSCORE
  DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity
  ☆48Updated 2 years ago
• KeatingLab / PixelDB
  ☆13Updated 7 years ago
• HITS-MBM / conan
  Analysis of contacts in molecular dynamics trajectories
  ☆43Updated 5 years ago
• deep-scaffold / deep_scaffold
  ☆25Updated 5 years ago
• TieuLongPhan / SynKit
  Toolkit for synthesis planning
  ☆18Updated this week
• AspirinCode / iPPIGAN
  De novo molecular design with deep molecular generative models for protein-protein interaction(PPI) inhibitors
  ☆20Updated 9 months ago
• jacquesboitreaud / OptiMol
  Optimization of binding affinities in chemical space for drug discovery
  ☆35Updated 2 years ago
• bm2-lab / X-MOL
  ☆36Updated 3 years ago
• Novartis / MoaBox
  A repository of compound-target annotations in support of Systematic Chemogenetic Library Assembly
  ☆17Updated 5 years ago