Alternatives and similar repositories for PLM-interact

Users that are interested in PLM-interact are comparing it to the libraries listed below

• Doudna-lab / GARNET_DL
  ☆36Updated 6 months ago
• tymor22 / protein-vec
  Repository for Protein-Vec, a protein embedding mixture of experts model
  ☆38Updated last year
• sokrypton / seqmodels
  ☆31Updated 4 years ago
• ronboger / conformal-protein-retrieval
  ☆16Updated 3 weeks ago
• CongLabCode / RoseTTAFold2-PPI
  Fast deep learning methods for large-scale protein-protein interaction screening
  ☆48Updated this week
• morcoslab / LGL-VAE
  ☆14Updated 3 weeks ago
• navid-naderi / PLM_SWE
  Implementation code for the paper "Aggregating Residue-Level Protein Language Model Embeddings with Optimal Transport"
  ☆20Updated 3 months ago
• brennanaba / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆52Updated 9 months 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".
  ☆60Updated 4 years ago
• microsoft / peft_proteomics
  LoRA for protein language models
  ☆41Updated last year
• jurgjn / af-protein-universe
  Code, intermediate results and an interactive visualisation on prediction of putative novel enzymes and small molecule binding proteins p…
  ☆26Updated 2 years ago
• haiyuan-yu-lab / PIONEER
  ☆26Updated 7 months ago
• daisybio / data-leakage-ppi-prediction
  Code associated with the paper 'Cracking the blackbox of deep sequence-based protein-protein interaction prediction'
  ☆24Updated last year
• wukevin / proteinclip
  Contrastive learning harmonizing protein language models and natural language models
  ☆32Updated last year
• MarkusWenzel / xai-proteins
  Insights into the inner workings of transformer models for protein function prediction
  ☆15Updated last year
• gitter-lab / nn4dms
  Neural networks for deep mutational scanning data
  ☆69Updated 2 months ago
• TurtleTools / geometricus
  A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.
  ☆39Updated 2 years ago
• maslov-group / DR-BERT
  ☆24Updated 2 years ago
• jsunn-y / DeCOIL
  A computational method to optimize degenerate codons for synthesizing an informed combinatorial mutagenesis protein variant library
  ☆14Updated 5 months ago
• Rostlab / EAT
  Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer ann…
  ☆37Updated 6 months ago
• HySonLab / Directed_Evolution
  Protein Design by Machine Learning guided Directed Evolution
  ☆44Updated 4 months ago
• aedera / anc2vec
  Unsupervised neural network for learning embeddings of GO terms.
  ☆18Updated 3 years ago
• AlanNawzadAmin / CloneBO
  ☆14Updated last month
• luo-group / ConFit
  Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape
  ☆31Updated 11 months ago
• deskk / AbGPT
  ☆11Updated 11 months ago
• Wang-lab-UCSD / TUnA
  TUnA: Transformer-based Uncertainty Aware model for PPI Prediction
  ☆10Updated last year
• oxpig / saab_plus
  ☆25Updated 5 years ago
• ddingding / CoVES
  Protein scoring and sampling of 'Combinatorial Variant Effects from Structure' (CoVES)
  ☆11Updated last year
• SNU-CSSB / RF2-Lite
  ☆30Updated last year
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆32Updated 7 months ago