Alternatives and similar repositories for SeqVec

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

• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆72Updated 4 years ago
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆101Updated 4 years ago
• fhalab / embeddings_reproduction
  ☆127Updated 4 years ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆109Updated 3 years ago
• soedinglab / CCMpred
  Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.
  ☆108Updated last year
• aqlaboratory / rgn2
  ☆106Updated last year
• oxpig / AbLang
  AbLang: A language model for antibodies
  ☆142Updated last year
• varun-shanker / structural-evolution
  ☆109Updated 11 months ago
• fhalab / MLDE
  A machine-learning package for navigating combinatorial protein fitness landscapes.
  ☆125Updated 3 years ago
• debbiemarkslab / DeepSequence
  A generative latent variable model for biological sequence families.
  ☆221Updated 3 years ago
• brianhie / efficient-evolution
  Efficient evolution from protein language models
  ☆207Updated last year
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆59Updated 2 years ago
• phbradley / alphafold_finetune
  Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions
  ☆151Updated last year
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆42Updated 3 years ago
• pylelab / USalign
  Universal Structure Alignment of Monomeric and Complex Structure of Nucleic Acids and Proteins
  ☆145Updated 2 months ago
• mheinzinger / ProstT5
  Bilingual Language Model for Protein Sequence and Structure
  ☆252Updated 5 months ago
• zswitten / Antimicrobial-Peptides
  Collecting AMP MIC data from different sources, then running a GAN to output promising sequences
  ☆79Updated 10 months ago
• gersteinlab / ThermoNet
  ThermoNet is a computational method for quantitative prediction of the impact of single-point mutations on protein thermodynamic stabilit…
  ☆117Updated last year
• gjoni / trDesign
  trRosetta for protein design
  ☆179Updated 4 years ago
• oxpig / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆141Updated 4 months ago
• prihoda / AbNumber
  Convenience Python APIs for antibody numbering using ANARCI
  ☆97Updated last month
• debbiemarkslab / EVcouplings
  Evolutionary couplings from protein and RNA sequence alignments
  ☆271Updated 3 months ago
• samsledje / D-SCRIPT
  A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions
  ☆101Updated 9 months ago
• HannesStark / protein-localization
  Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…
  ☆64Updated last year
• ProteinDesignLab / protein-design-tutorials
  Tutorials, cheat sheets, and other resources for computational methods for protein design.
  ☆113Updated last year
• hefeda / design_tools
  A compilation of deep learning methods for protein design
  ☆97Updated 2 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆87Updated last year
• nstrodt / UDSMProt
  Protein sequence classification with self-supervised pretraining
  ☆82Updated 3 years ago
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆59Updated 2 years ago
• Merck / BioPhi
  BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluatio…
  ☆195Updated last month