yangkky / Machine-learning-for-proteins

Related projects: ⓘ

• Peldom / papers_for_protein_design_using_DL
  List of papers about Proteins Design using Deep Learning
  ☆1,371Updated last week
• agemagician / ProtTrans
  ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit a…
  ☆1,096Updated 7 months ago
• dauparas / ProteinMPNN
  Code for the ProteinMPNN paper
  ☆942Updated last month
• a-r-j / graphein
  Protein Graph Library
  ☆1,020Updated this week
• sokrypton / ColabFold
  Making Protein folding accessible to all!
  ☆1,879Updated 3 weeks ago
• songlab-cal / tape
  Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…
  ☆651Updated last year
• gcorso / DiffDock
  Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
  ☆1,044Updated 2 weeks ago
• steineggerlab / foldseek
  Foldseek enables fast and sensitive comparisons of large structure sets.
  ☆772Updated this week
• LPDI-EPFL / masif
  MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
  ☆578Updated 3 months ago
• sokrypton / ColabDesign
  Making Protein Design accessible to all via Google Colab!
  ☆552Updated last month
• YoshitakaMo / localcolabfold
  ColabFold on your local PC
  ☆556Updated 3 months ago
• sacdallago / bio_embeddings
  Get protein embeddings from protein sequences
  ☆461Updated last year
• soedinglab / MMseqs2
  MMseqs2: ultra fast and sensitive search and clustering suite
  ☆1,362Updated 2 weeks ago
• baker-laboratory / RoseTTAFold-All-Atom
  ☆606Updated last month
• RosettaCommons / PyRosetta.notebooks
  Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
  ☆464Updated last month
• biotite-dev / biotite
  A comprehensive library for computational molecular biology
  ☆613Updated this week
• kexinhuang12345 / DeepPurpose
  A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
  ☆952Updated 3 months ago
• nadavbra / protein_bert
  ☆476Updated 9 months ago
• facebookresearch / esm
  Evolutionary Scale Modeling (esm): Pretrained language models for proteins
  ☆3,130Updated 7 months ago
• soedinglab / hh-suite
  Remote protein homology detection suite.
  ☆527Updated last year
• microsoft / foldingdiff
  Diffusion models of protein structure; trigonometry and attention are all you need!
  ☆501Updated 9 months ago
• gnina / gnina
  A deep learning framework for molecular docking
  ☆591Updated last month
• churchlab / UniRep
  UniRep model, usage, and examples.
  ☆334Updated 2 years ago
• kalininalab / alphafold_non_docker
  AlphaFold2 non-docker setup
  ☆337Updated 9 months ago
• aqlaboratory / proteinnet
  Standardized data set for machine learning of protein structure
  ☆852Updated 3 years ago
• volkamerlab / teachopencadd
  TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
  ☆748Updated 2 months ago
• AspirinCode / papers-for-molecular-design-using-DL
  List of Molecular and Material design using Generative AI and Deep Learning
  ☆642Updated last week
• chemprop / chemprop
  Message Passing Neural Networks for Molecule Property Prediction
  ☆1,703Updated last week
• HeliXonProtein / OmegaFold
  OmegaFold Release Code
  ☆542Updated last year
• HannesStark / EquiBind
  EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
  ☆473Updated last year