Alternatives and similar repositories for openprotein

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

• jonathanking / sidechainnet
  An all-atom protein structure dataset for machine learning.
  ☆353Updated last year
• aqlaboratory / rgn
  Recurrent Geometric Networks for end-to-end differentiable learning of protein structure
  ☆327Updated 5 years ago
• lamoureux-lab / TorchProteinLibrary
  PyTorch library of layers acting on protein representations
  ☆118Updated 11 months ago
• gjoni / trRosetta
  A package to predict protein inter-residue geometries from sequence data
  ☆215Updated 3 years ago
• songlab-cal / tape-neurips2019
  Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…
  ☆120Updated 3 years ago
• gjoni / trDesign
  trRosetta for protein design
  ☆179Updated 4 years ago
• Biomatter-Designs / ProteinGAN
  ☆193Updated 3 years ago
• tbepler / protein-sequence-embedding-iclr2019
  Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
  ☆260Updated 4 years ago
• octavian-ganea / equidock_public
  EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
  ☆243Updated last year
• churchlab / UniRep
  UniRep model, usage, and examples.
  ☆352Updated 3 years ago
• lupoglaz / OpenFold2
  Attempt at reproduction of AlphaFold2
  ☆92Updated 8 months ago
• j3xugit / RaptorX-Contact
  Deep residual neural network for protein contact/distance prediction developed by Xu group
  ☆79Updated 4 years ago
• ElArkk / jax-unirep
  Reimplementation of the UniRep protein featurization model.
  ☆107Updated 9 months ago
• BenevolentAI / DeeplyTough
  DeeplyTough: Learning Structural Comparison of Protein Binding Sites
  ☆164Updated 2 years ago
• yangkevin2 / coronavirus_data
  ☆81Updated last year
• MarcusOlivecrona / REINVENT
  Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning
  ☆325Updated 3 years ago
• drorlab / atom3d
  ATOM3D: tasks on molecules in three dimensions
  ☆310Updated 2 years ago
• debbiemarkslab / DeepSequence
  A generative latent variable model for biological sequence families.
  ☆221Updated 3 years ago
• j3xugit / RaptorX-3DModeling
  Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will…
  ☆100Updated 3 years ago
• isayev / ReLeaSE
  Deep Reinforcement Learning for de-novo Drug Design
  ☆361Updated 3 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆87Updated last year
• gnina / libmolgrid
  Comprehensive library for fast, GPU accelerated molecular gridding for deep learning workflows
  ☆154Updated 8 months ago
• Shen-Lab / DeepAffinity
  Protein-compound affinity prediction through unified RNN-CNN
  ☆147Updated 11 months ago
• FreyrS / dMaSIF
  ☆212Updated 2 years ago
• LPDI-EPFL / masif
  MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
  ☆658Updated last year
• drorlab / DIPS
  Database of Interacting Protein Structures (DIPS)
  ☆101Updated last year
• samsinai / FLEXS
  Fitness landscape exploration sandbox for biological sequence design.
  ☆163Updated 2 years ago
• samsinai / VAE_protein_function
  Protein function prediction using a variational autoencoder
  ☆93Updated 7 years ago
• pcko1 / Deep-Drug-Coder
  A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at Astr…
  ☆188Updated 2 years ago
• RosettaCommons / DeepAb
  Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.
  ☆159Updated 2 years ago