Alternatives and similar repositories for CPCProt:

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

• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆18Updated last year
• leandroradusky / pyfoldx
  pyFoldX: python bindings for FoldX.
  ☆43Updated 3 years ago
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆41Updated 3 years ago
• brennanaba / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆48Updated 2 months ago
• fhalab / SPGen
  ☆19Updated 3 years ago
• DeepRank / DeepRank-GNN-esm
  Graph Network for protein-protein interface including language model features
  ☆28Updated 10 months ago
• cansyl / MDeePred
  Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery
  ☆27Updated 3 years ago
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆32Updated last month
• MartinThoma / propy3
  A Python 3 version of the protein descriptor package propy
  ☆39Updated last year
• sarisabban / RamaNet
  Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
  ☆49Updated 3 years ago
• biomed-AI / GraphSite
  GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures
  ☆60Updated 5 months ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆24Updated 10 months ago
• yarongef / DistilProtBert
  DistilProtBert implementation, a distilled version of ProtBert model.
  ☆15Updated 2 years ago
• TurtleTools / geometricus
  A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.
  ☆38Updated last year
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆59Updated last year
• kWeissenow / EMBER2
  Alignment-free structure prediction using protein language models
  ☆22Updated 2 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆71Updated 9 months ago
• ba-lab / pdnet
  PDNET: A fully open-source framework for deep learning protein real-valued distances
  ☆34Updated 3 years ago
• oxpig / CaLM
  Protein language model trained on coding DNA
  ☆42Updated 3 months ago
• ElwynWang / DeepFragLib
  ☆29Updated 4 years ago
• Graylab / deepH3-distances-orientations
  ☆34Updated 3 years ago
• GIST-CSBL / HoTS
  HoTS: Sequence-based prediction of binding regions and drug-target interactions.
  ☆25Updated 2 years ago
• jertubiana / ProteinMotifRBM
  Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox
  ☆20Updated 6 years ago
• seanrjohnson / protein_scoring
  Generating and scoring novel enzyme sequences with a variety of models and metrics
  ☆68Updated 2 weeks ago
• churchlab / low-N-protein-engineering
  Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".
  ☆56Updated 3 years ago
• gozsari / ProtFeat
  ProtFeat is protein feature extraction tool that utilizes POSSUM and iFeature.
  ☆19Updated 4 months ago
• LPDI-EPFL / topobuilder
  Parametric Building of de novo Functional Topologies
  ☆44Updated 2 years ago
• ivanjayapurna / low-n-protein-engineering
  A complete, open-source, end-to-end re-implementation of the Church Lab's low-N eUniRep in silico protein engineering pipeline presented …
  ☆26Updated 4 years ago
• biofold / ddgun
  predict stability change upon mutation
  ☆27Updated 7 months ago
• gitter-lab / nn4dms
  Neural networks for deep mutational scanning data
  ☆67Updated 2 months ago