Alternatives and similar repositories for se3_diffusion

Users that are interested in se3_diffusion are comparing it to the libraries listed below

• microsoft / protein-frame-flow
  Fast protein backbone generation with SE(3) flow matching.
  ☆263Updated 10 months ago
• DreamFold / FoldFlow
  FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
  ☆228Updated 5 months ago
• jasonkyuyim / multiflow
  ☆164Updated last year
• drorlab / gvp-pytorch
  Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure
  ☆279Updated 2 years ago
• bjing2016 / alphaflow
  AlphaFold Meets Flow Matching for Generating Protein Ensembles
  ☆440Updated 4 months ago
• NVIDIA-Digital-Bio / proteina
  Proteina is a new large-scale flow-based protein backbone generator that utilizes hierarchical fold class labels for conditioning and rel…
  ☆165Updated last week
• arneschneuing / DiffSBDD
  A Euclidean diffusion model for structure-based drug design.
  ☆421Updated 3 months ago
• ketatam / DiffDock-PP
  Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)
  ☆206Updated last year
• pengxingang / Pocket2Mol
  Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
  ☆309Updated last year
• ProteinDesignLab / protpardelle
  Diffusion-based all-atom protein generative model.
  ☆198Updated 3 months ago
• aqlaboratory / genie
  De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds
  ☆180Updated last year
• luost26 / diffab
  ✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)
  ☆322Updated last year
• maabuu / posebusters
  Plausibility checks for generated molecule poses.
  ☆286Updated this week
• igashov / DiffLinker
  DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
  ☆334Updated last year
• FreyrS / dMaSIF
  ☆209Updated 2 years ago
• gcorso / torsional-diffusion
  Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
  ☆262Updated last year
• guanjq / targetdiff
  The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
  ☆262Updated last year
• baker-laboratory / rf_diffusion_all_atom
  Public RFDiffusionAA repo
  ☆394Updated 10 months ago
• a-r-j / ProteinWorkshop
  Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models …
  ☆239Updated last month
• zrqiao / NeuralPLexer
  NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model
  ☆293Updated last year
• bjing2016 / EigenFold
  EigenFold: Generative Protein Structure Prediction with Diffusion Models
  ☆173Updated 2 years ago
• RosettaCommons / protein_generator
  Joint sequence and structure generation with RoseTTAFold sequence space diffusion
  ☆312Updated 7 months ago
• dauparas / LigandMPNN
  ☆382Updated 3 months ago
• BytedProtein / ByProt
  ☆187Updated 8 months ago
• plinder-org / plinder
  Protein Ligand INteraction Dataset and Evaluation Resource
  ☆223Updated last month
• octavian-ganea / equidock_public
  EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
  ☆240Updated last year
• BioinfoMachineLearning / bio-diffusion
  A geometry-complete diffusion generative model (GCDM) for 3D molecule generation and optimization. (Nature CommsChem)
  ☆202Updated 8 months ago
• patrickbryant1 / Umol
  Protein-ligand structure prediction
  ☆215Updated 10 months ago
• MinkaiXu / GeoDiff
  Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
  ☆359Updated 2 years ago
• bjornwallner / DockQ
  DockQ is a single continuous quality measure for Protein, Nucleic Acids and Small Molecule Docking Models
  ☆284Updated 4 months ago