Alternatives and similar repositories for parapred

Users that are interested in parapred 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
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆87Updated 2 years ago
• ProteinDesignLab / protein_seq_des
  Code for our paper "Protein sequence design with a learned potential"
  ☆79Updated 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
• Graylab / deepH3-distances-orientations
  ☆35Updated 3 years ago
• hiranumn / DeepAccNet
  Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
  ☆89Updated 4 years ago
• RosettaCommons / trRosetta2
  Repository for publicly available deep learning models developed in Rosetta community
  ☆117Updated 3 years ago
• sirimullalab / DLSCORE
  DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity
  ☆48Updated 2 years ago
• ranganathanlab / bmDCA
  Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).
  ☆35Updated 4 years ago
• psipred / DeepCov
  Fully convolutional neural networks for protein residue-residue contact prediction
  ☆43Updated 6 years ago
• dina-lab3D / NanoNet
  ☆47Updated last year
• MartinThoma / propy3
  A Python 3 version of the protein descriptor package propy
  ☆43Updated 2 years ago
• psipred / DMPfold
  De novo protein structure prediction using iteratively predicted structural constraints
  ☆59Updated 3 years ago
• oxpig / Paragraph
  Antibody paratope prediction using Graph Neural Networks with minimal feature vectors
  ☆37Updated 2 years ago
• aqlaboratory / rgn2
  ☆107Updated last year
• ostrokach / proteinsolver
  Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.
  ☆60Updated 4 years ago
• ba-lab / pdnet
  PDNET: A fully open-source framework for deep learning protein real-valued distances
  ☆36Updated 4 years ago
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆42Updated 3 years ago
• sokrypton / GREMLIN_CPP
  GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!
  ☆55Updated 2 years ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆25Updated last year
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆20Updated last year
• gifford-lab / antibody-2019
  ☆32Updated 5 years ago
• jhmlam / NucleicNet
  ☆36Updated 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
• xinyu-dev / annotate_v
  Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python
  ☆30Updated 2 years ago
• gv20-therapeutics / antibody-in-pytorch
  Machine learning models for antibody sequences in PyTorch
  ☆40Updated 4 years ago
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆60Updated 2 years ago
• dahjan / DMS_opt
  ☆70Updated 4 years ago
• ericmjl / protein-interaction-network
  Computes a molecular graph for protein structures.
  ☆58Updated 2 weeks ago
• leandroradusky / pyfoldx
  pyFoldX: python bindings for FoldX.
  ☆48Updated 3 years ago