Alternatives and similar repositories for meaningful-protein-representations

Users that are interested in meaningful-protein-representations are comparing it to the libraries listed below

• aqlaboratory / rgn2
  ☆107Updated last year
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆102Updated 4 years ago
• csi-greifflab / Absolut
  Unconstrained lattice antibody-antigen bindings generator
  ☆110Updated last year
• samsledje / D-SCRIPT
  A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions
  ☆100Updated last week
• alex-hh / deep-protein-generation
  ☆58Updated 2 years ago
• fhalab / MLDE
  A machine-learning package for navigating combinatorial protein fitness landscapes.
  ☆126Updated 3 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆72Updated last year
• oxpig / AbLang
  AbLang: A language model for antibodies
  ☆143Updated last year
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆59Updated 2 years ago
• KrishnaswamyLab / ReLSO-Guided-Generative-Protein-Design-using-Regularized-Transformers
  a Transformer-based neural network for generating highly optimized protein sequences called Regularized Latent Space Optimization (RELSO)
  ☆89Updated 2 years ago
• debbiemarkslab / DeepSequence
  A generative latent variable model for biological sequence families.
  ☆224Updated 3 years ago
• chloechsu / combining-evolutionary-and-assay-labelled-data
  ☆66Updated 3 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆87Updated 2 years ago
• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆73Updated 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".
  ☆59Updated 4 years ago
• Doudna-lab / GARNET_DL
  ☆35Updated 6 months ago
• OpenProteinAI / PoET
  Inference code for PoET: A generative model of protein families as sequences-of-sequences
  ☆78Updated last year
• debbiemarkslab / SeqDesign
  Protein design and variant prediction using autoregressive generative models
  ☆106Updated last year
• gitter-lab / nn4dms
  Neural networks for deep mutational scanning data
  ☆69Updated last month
• brianhie / evolocity
  Evolutionary velocity with protein language models
  ☆93Updated last year
• brianhie / efficient-evolution
  Efficient evolution from protein language models
  ☆210Updated last year
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆59Updated 2 years ago
• J-SNACKKB / FLIP
  A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
  ☆101Updated 9 months ago
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆59Updated 2 years ago
• soedinglab / CCMpred
  Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.
  ☆108Updated last year
• biomed-AI / GraphSite
  GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures
  ☆60Updated 11 months ago
• pylelab / rMSA
  RNA Multiple Sequence Alignment
  ☆43Updated last year
• Rostlab / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆119Updated 4 years ago
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆42Updated 3 years ago
• lbcb-sci / RiNALMo
  RiboNucleic Acid (RNA) Language Model
  ☆112Updated last month