Alternatives and similar repositories for parapred

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

• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆24Updated last year
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆20Updated last year
• gv20-therapeutics / antibody-in-pytorch
  Machine learning models for antibody sequences in PyTorch
  ☆39Updated 4 years ago
• vamships / PECAN
  Help file for running the scripts to learn and evaluate graph convolution networks for epitope and paratope prediction
  ☆34Updated 5 years ago
• ranganathanlab / bmDCA
  Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).
  ☆35Updated 4 years ago
• dina-lab3D / NanoNet
  ☆46Updated last year
• Graylab / deepH3-distances-orientations
  ☆34Updated 3 years ago
• oxpig / Paragraph
  Antibody paratope prediction using Graph Neural Networks with minimal feature vectors
  ☆37Updated 2 years ago
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆59Updated 2 years ago
• gitter-lab / nn4dms
  Neural networks for deep mutational scanning data
  ☆69Updated 3 weeks ago
• fhalab / evSeq
  Computational tools for extremely low-cost, massively parallel amplicon-based sequencing of every variant in protein mutant libraries.
  ☆34Updated 3 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated last year
• dahjan / DMS_opt
  ☆68Updated 4 years ago
• oxpig / ABlooper
  Tool for modelling the CDRs of antibodies
  ☆48Updated 2 years ago
• aqlaboratory / rgn2
  ☆106Updated last year
• churchlab / UniRep-analysis
  Analysis and figure code from Alley et al. 2019.
  ☆59Updated 2 years ago
• haddocking / haddock-tools
  Set of useful HADDOCK utility scripts
  ☆52Updated 9 months ago
• sirimullalab / DLSCORE
  DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity
  ☆48Updated 2 years ago
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆42Updated 3 years ago
• ProteinDesignLab / protein_seq_des
  Code for our paper "Protein sequence design with a learned potential"
  ☆79Updated last year
• MartinThoma / propy3
  A Python 3 version of the protein descriptor package propy
  ☆42Updated 2 years ago
• ElwynWang / DeepFragLib
  ☆29Updated 4 years 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".
  ☆59Updated 4 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆87Updated last year
• ba-lab / pdnet
  PDNET: A fully open-source framework for deep learning protein real-valued distances
  ☆35Updated 4 years ago
• leandroradusky / pyfoldx
  pyFoldX: python bindings for FoldX.
  ☆46Updated 3 years ago
• abelavit / PepCNN
  ☆21Updated last year
• rochoa85 / PepFun
  Bioinformatics and Cheminformatics protocols for peptide analysis
  ☆42Updated 2 years ago
• samgoldman97 / enzyme-datasets
  Enzyme datasets used to benchmark enzyme-substrate promiscuity models
  ☆35Updated 3 years ago
• biomed-AI / GraphSite
  GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures
  ☆60Updated 10 months ago