Alternatives and similar repositories for ProteinGAN

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

• gjoni / trDesign
  trRosetta for protein design
  ☆183Updated 4 years ago
• gjoni / trRosetta
  A package to predict protein inter-residue geometries from sequence data
  ☆220Updated 4 years ago
• debbiemarkslab / DeepSequence
  A generative latent variable model for biological sequence families.
  ☆246Updated 3 years ago
• fhalab / MLDE
  A machine-learning package for navigating combinatorial protein fitness landscapes.
  ☆130Updated 4 years ago
• Rostlab / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆122Updated 5 years ago
• microsoft / protein-sequence-models
  ☆255Updated last year
• brianhie / efficient-evolution
  Efficient evolution from protein language models
  ☆218Updated 2 years ago
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆104Updated 4 years ago
• soedinglab / CCMpred
  Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.
  ☆112Updated 2 years ago
• mxfold / mxfold2
  MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration
  ☆154Updated this week
• flatironinstitute / DeepFRI
  Deep functional residue identification
  ☆343Updated 2 years ago
• RosettaCommons / trRosetta2
  Repository for publicly available deep learning models developed in Rosetta community
  ☆121Updated 4 years ago
• debbiemarkslab / EVcouplings
  Evolutionary couplings from protein and RNA sequence alignments
  ☆295Updated 2 months ago
• aqlaboratory / rgn2
  ☆109Updated 2 years ago
• steineggerlab / foldcomp
  Compressing protein structures effectively with torsion angles
  ☆185Updated last month
• oxpig / AbLang
  AbLang: A language model for antibodies
  ☆155Updated 2 years ago
• FreshAirTonight / af2complex
  Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
  ☆168Updated last year
• RosettaCommons / DeepAb
  Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.
  ☆167Updated 3 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆94Updated 2 years ago
• RosettaCommons / RFDesign
  Protein hallucination and inpainting with RoseTTAFold
  ☆276Updated 2 years ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆110Updated 3 years ago
• biolists / folding_tools
  A collection of *fold* tools
  ☆300Updated 5 months ago
• ml4bio / e2efold
  pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"
  ☆120Updated last year
• 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…
  ☆99Updated 3 years ago
• fhalab / embeddings_reproduction
  ☆127Updated 4 years ago
• phbradley / alphafold_finetune
  Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions
  ☆168Updated 2 years ago
• csi-greifflab / Absolut
  Unconstrained lattice antibody-antigen bindings generator
  ☆111Updated 2 months ago
• nstrodt / UDSMProt
  Protein sequence classification with self-supervised pretraining
  ☆82Updated 4 years ago
• RosettaCommons / protein_generator
  Joint sequence and structure generation with RoseTTAFold sequence space diffusion
  ☆326Updated last year
• tbepler / protein-sequence-embedding-iclr2019
  Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
  ☆261Updated 4 years ago