Alternatives and similar repositories for CPCProt

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

• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated last year
• leandroradusky / pyfoldx
  pyFoldX: python bindings for FoldX.
  ☆53Updated 4 years ago
• brennanaba / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆56Updated last year
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆61Updated 2 years ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆25Updated last year
• TurtleTools / geometricus
  A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.
  ☆41Updated 2 years ago
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆20Updated 2 years ago
• MartinThoma / propy3
  A Python 3 version of the protein descriptor package propy
  ☆46Updated 2 years ago
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆34Updated 3 months ago
• Doudna-lab / GARNET_DL
  ☆36Updated 10 months ago
• gozsari / ProtFeat
  ProtFeat is protein feature extraction tool that utilizes POSSUM and iFeature.
  ☆20Updated last year
• debbiemarkslab / SeqDesign
  Protein design and variant prediction using autoregressive generative models
  ☆117Updated last year
• alexarnimueller / modlAMP
  Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.
  ☆61Updated 8 months ago
• gitter-lab / nn4dms
  Neural networks for deep mutational scanning data
  ☆70Updated 6 months ago
• aaronkollasch / seqdesign-pytorch
  Protein design and variant prediction using autoregressive generative models
  ☆24Updated 2 years ago
• OpenProteinAI / PoET
  Inference code for PoET: A generative model of protein families as sequences-of-sequences
  ☆86Updated last year
• Exscientia / abodybuilder3
  ☆72Updated last year
• aqlaboratory / rgn2
  ☆108Updated 2 years ago
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆62Updated 3 years ago
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆43Updated 4 years ago
• DeepRank / DeepRank-GNN-esm
  Graph Network for protein-protein interface including language model features
  ☆33Updated last year
• biomed-AI / GraphSite
  GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures
  ☆61Updated last year
• 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".
  ☆60Updated 4 years ago
• LPDI-EPFL / topobuilder
  Parametric Building of de novo Functional Topologies
  ☆44Updated 3 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"
  ☆81Updated 2 years ago
• DeepRank / deeprank2
  An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
  ☆55Updated 11 months ago
• GIST-CSBL / HoTS
  HoTS: Sequence-based prediction of binding regions and drug-target interactions.
  ☆28Updated 3 years ago
• oxpig / CaLM
  Protein language model trained on coding DNA
  ☆51Updated last year
• seanrjohnson / protein_scoring
  Generating and scoring novel enzyme sequences with a variety of models and metrics
  ☆72Updated last week