Alternatives and similar repositories for DMPfold:

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

• sokrypton / GREMLIN_CPP
  GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!
  ☆53Updated 2 years ago
• psipred / DMPfold2
  Fast and accurate protein structure prediction
  ☆52Updated 3 months ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆71Updated last year
• KIT-MBS / pydca
  Direct coupling analysis software for protein and RNA sequences
  ☆50Updated last year
• brennanaba / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆48Updated 5 months ago
• RosettaCommons / trRosetta2
  Repository for publicly available deep learning models developed in Rosetta community
  ☆114Updated 3 years ago
• ElwynWang / DeepFragLib
  ☆29Updated 4 years ago
• j3xugit / RaptorX-3DModeling
  Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will…
  ☆100Updated 3 years ago
• sokrypton / map_align
  Contact map alignment
  ☆41Updated 4 years ago
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆59Updated last year
• ProteinDesignLab / protein_seq_des
  Code for our paper "Protein sequence design with a learned potential"
  ☆79Updated last year
• churchlab / UniRep-analysis
  Analysis and figure code from Alley et al. 2019.
  ☆58Updated 2 years ago
• j3xugit / RaptorX-Contact
  Deep residual neural network for protein contact/distance prediction developed by Xu group
  ☆78Updated 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".
  ☆58Updated 4 years ago
• psipred / DeepCov
  Fully convolutional neural networks for protein residue-residue contact prediction
  ☆44Updated 6 years ago
• debbiemarkslab / SeqDesign
  Protein design and variant prediction using autoregressive generative models
  ☆99Updated last year
• Graylab / deepH3-distances-orientations
  ☆34Updated 3 years ago
• dina-lab3D / CombFold
  ☆81Updated 7 months ago
• ba-lab / pdnet
  PDNET: A fully open-source framework for deep learning protein real-valued distances
  ☆35Updated 3 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆86Updated last year
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆42Updated 3 years ago
• RosettaCommons / Rosetta-DL
  A bundle of deep-learning packages for biomolecular structure prediction and design contributed to the Rosetta Commons
  ☆35Updated 2 years ago
• soedinglab / uniclust-pipeline
  ☆38Updated 7 years ago
• alex-hh / deep-protein-generation
  ☆57Updated 2 years ago
• TurtleTools / geometricus
  A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.
  ☆37Updated last year
• debbiemarkslab / EVmutation
  Mutation effects predicted from sequence co-variation
  ☆64Updated 7 years ago
• pagnani / PlmDCA.jl
  Pseudo Likelihood Maximization for protein in Julia
  ☆51Updated 3 months ago
• ranganathanlab / bmDCA
  Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).
  ☆34Updated 4 years ago
• jproney / AF2Rank
  ☆102Updated 2 years ago
• patrickbryant1 / SpeedPPI
  Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning
  ☆83Updated last year