Alternatives and similar repositories for meaningful-protein-representations:

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

• chloechsu / combining-evolutionary-and-assay-labelled-data
  ☆62Updated 3 years ago
• csi-greifflab / Absolut
  Unconstrained lattice antibody-antigen bindings generator
  ☆107Updated 9 months ago
• aqlaboratory / rgn2
  ☆104Updated last year
• alex-hh / deep-protein-generation
  ☆56Updated 2 years ago
• OpenProteinAI / PoET
  Inference code for PoET: A generative model of protein families as sequences-of-sequences
  ☆71Updated 11 months ago
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆58Updated last year
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆42Updated 3 years ago
• samsledje / D-SCRIPT
  A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions
  ☆96Updated 6 months ago
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆99Updated 3 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆85Updated last year
• yikunpku / RNA-MSM
  Nucleic Acids Research 2024：RNA-MSM model is an unsupervised RNA language model based on multiple sequences that outputs both embedding a…
  ☆57Updated 8 months ago
• biomed-AI / GraphSite
  GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures
  ☆60Updated 8 months ago
• gv20-therapeutics / antibody-in-pytorch
  Machine learning models for antibody sequences in PyTorch
  ☆39Updated 3 years ago
• debbiemarkslab / SeqDesign
  Protein design and variant prediction using autoregressive generative models
  ☆97Updated last year
• OATML-Markslab / ProteinNPT
  Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"
  ☆110Updated 2 weeks ago
• oxpig / AbLang
  AbLang: A language model for antibodies
  ☆137Updated last year
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆71Updated 11 months ago
• rmrao / msa-transformer
  MSA Transformer reproduction code
  ☆77Updated 3 years ago
• brianhie / uncertainty
  Learning with uncertainty for biological discovery and design
  ☆34Updated 2 years ago
• fhalab / MLDE
  A machine-learning package for navigating combinatorial protein fitness landscapes.
  ☆124Updated 3 years ago
• J-SNACKKB / FLIP
  A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
  ☆97Updated 6 months ago
• piercelab / antibody_benchmark
  Antibody-Antigen Docking and Affinity Benchmark
  ☆70Updated 4 years ago
• MartinThoma / propy3
  A Python 3 version of the protein descriptor package propy
  ☆41Updated 2 years ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆24Updated last year
• annambiar / PRoBERTa
  ☆18Updated 4 years ago
• ostrokach / proteinsolver
  Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.
  ☆59Updated 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".
  ☆57Updated 3 years ago
• soedinglab / CCMpred
  Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.
  ☆107Updated last year
• Graylab / FLAb
  Fitness landscapes for antibodies
  ☆67Updated 2 months ago
• churchlab / UniRep-analysis
  Analysis and figure code from Alley et al. 2019.
  ☆58Updated 2 years ago