sokrypton / seqmodels

Related projects ⓘ

Alternatives and complementary repositories for seqmodels

• wells-wood-research / PDBench
  PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms.
  ☆27Updated last year
• brennanaba / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆46Updated this week
• labstructbioinf / localpdb
  Python package to manage protein structures and their annotations
  ☆40Updated 8 months ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆22Updated 7 months ago
• ranganathanlab / bmDCA
  Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).
  ☆33Updated 4 years ago
• seanrjohnson / protein_scoring
  Generating and scoring novel enzyme sequences with a variety of models and metrics
  ☆61Updated 3 months ago
• jertubiana / ProteinMotifRBM
  Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox
  ☆20Updated 5 years ago
• Doudna-lab / GARNET_DL
  ☆27Updated last week
• psipred / DMPfold2
  Fast and accurate protein structure prediction
  ☆49Updated last year
• kWeissenow / EMBER3D
  Ultra-fast in-silico structure mutation
  ☆32Updated last year
• OpenProteinAI / PoET
  Inference code for PoET: A generative model of protein families as sequences-of-sequences
  ☆47Updated 6 months ago
• daisybio / data-leakage-ppi-prediction
  Code associated with the paper 'Cracking the blackbox of deep sequence-based protein-protein interaction prediction'
  ☆19Updated 10 months ago
• ahaldane / Mi3-GPU
  ☆15Updated last year
• debbiemarkslab / SeqDesign
  Protein design and variant prediction using autoregressive generative models
  ☆92Updated 9 months ago
• Profluent-AI / proseLM-public
  Adapting protein language models for structure-conditioned design
  ☆34Updated 3 months ago
• mat10d / EvolvePro
  ☆21Updated this week
• brianhie / uncertainty
  Learning with uncertainty for biological discovery and design
  ☆33Updated last year
• BEAM-Labs / BALM
  Inference code for Bio-Inspired Antibody Language Model
  ☆19Updated 2 months ago
• Rappsilber-Laboratory / AlphaLink2
  AlphaLink2: Integrating crosslinking MS data into Uni-Fold-Multimer
  ☆47Updated 3 months ago
• luo-group / ConFit
  Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape
  ☆23Updated 2 months ago
• DeepRank / DeepRank-GNN-esm
  Graph Network for protein-protein interface including language model features
  ☆25Updated 7 months ago
• the-protein-engineering-tournament / pet-pilot-2023
  Results and data from the pilot round of the Protein Engineering Tournament
  ☆23Updated this week
• aaronkollasch / seqdesign-pytorch
  Protein design and variant prediction using autoregressive generative models
  ☆22Updated last year
• Faezov / PDBrenum
  ☆27Updated 6 months ago
• ml4bio / RhoFold
  RhoFold+: Accurate RNA 3D structure prediction using a language model-based deep learning approach
  ☆31Updated 9 months ago
• TurtleTools / geometricus
  A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.
  ☆38Updated last year
• tristanic / pae_to_domains
  Graph-based community clustering approach to extract protein domains from a predicted aligned error matrix
  ☆32Updated 2 years ago
• zzhangzzhang / pLMs-interpretability
  ☆21Updated 3 weeks 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".
  ☆56Updated 3 years ago
• 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