Alternatives and similar repositories for trRosetta

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

• gjoni / trDesign
  trRosetta for protein design
  ☆183Updated 4 years ago
• RosettaCommons / trRosetta2
  Repository for publicly available deep learning models developed in Rosetta community
  ☆120Updated 4 years ago
• RosettaCommons / RFDesign
  Protein hallucination and inpainting with RoseTTAFold
  ☆275Updated 2 years ago
• soedinglab / CCMpred
  Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.
  ☆110Updated 2 years ago
• rifdock / rifdock
  Rifdock Library for Conformational Search
  ☆165Updated last year
• RosettaCommons / DeepAb
  Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.
  ☆167Updated 3 years ago
• lupoglaz / OpenFold2
  Attempt at reproduction of AlphaFold2
  ☆99Updated last year
• fhalab / MLDE
  A machine-learning package for navigating combinatorial protein fitness landscapes.
  ☆129Updated 4 years ago
• Biomatter-Designs / ProteinGAN
  ☆190Updated 3 years ago
• Merck / BioPhi
  BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluatio…
  ☆213Updated 6 months ago
• oxpig / AbLang
  AbLang: A language model for antibodies
  ☆154Updated 2 years ago
• biolists / folding_tools
  A collection of *fold* tools
  ☆300Updated 4 months ago
• j3xugit / RaptorX-Contact
  Deep residual neural network for protein contact/distance prediction developed by Xu group
  ☆79Updated 5 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…
  ☆99Updated 3 years ago
• brianhie / efficient-evolution
  Efficient evolution from protein language models
  ☆217Updated 2 years ago
• wallnerlab / DockQ
  DockQ is a single continuous quality measure for Protein, Nucleic Acids and Small Molecule Docking Models
  ☆345Updated last month
• oxpig / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆166Updated last month
• jertubiana / ScanNet
  ☆136Updated 5 months ago
• FreyrS / dMaSIF
  ☆230Updated 2 years ago
• zrqiao / NeuralPLexer
  NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model
  ☆314Updated 2 months ago
• sokrypton / GREMLIN_CPP
  GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!
  ☆57Updated 3 years ago
• FreshAirTonight / af2complex
  Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
  ☆165Updated last year
• phbradley / alphafold_finetune
  Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions
  ☆166Updated last year
• microsoft / protein-sequence-models
  ☆253Updated last year
• octavian-ganea / equidock_public
  EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
  ☆252Updated 2 years ago
• RosettaCommons / protein_generator
  Joint sequence and structure generation with RoseTTAFold sequence space diffusion
  ☆323Updated last year
• Graylab / IgLM
  Generative Language Modeling for Antibody Design
  ☆173Updated last year
• prihoda / AbNumber
  Convenience Python APIs for antibody numbering using ANARCI
  ☆109Updated 6 months ago
• uw-ipd / RoseTTAFold2
  ☆203Updated 7 months ago
• LBM-EPFL / PeSTo
  Geometric deep learning method to predict protein binding interfaces from a protein structure.
  ☆150Updated 2 years ago