Alternatives and similar repositories for RefineGNN

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

• wengong-jin / abdockgen
  ☆106Updated 2 years ago
• HeliXonProtein / binding-ddg-predictor
  open source repository
  ☆136Updated last year
• jertubiana / ScanNet
  ☆126Updated last week
• Graylab / IgLM
  Generative Language Modeling for Antibody Design
  ☆151Updated 8 months ago
• drorlab / gvp
  Geometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure
  ☆146Updated 4 years ago
• THUNLP-MT / dyMEAN
  This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"
  ☆110Updated 3 months ago
• THUNLP-MT / MEAN
  This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.
  ☆95Updated 2 years ago
• BytedProtein / ByProt
  ☆192Updated 9 months ago
• zaixizhang / Awesome-SBDD
  Papers about Structure-based Drug Design (SBDD)
  ☆114Updated 6 months ago
• FreyrS / dMaSIF
  ☆212Updated 2 years ago
• DeepGraphLearning / DiffPack
  Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
  ☆87Updated last year
• LPDI-EPFL / masif_seed
  Masif seed paper repository
  ☆154Updated 2 years ago
• TencentAI4S / IgGM
  [ICLR2025] Official Implementation of IgGM: A Generative Model for Functional Antibody and Nanobody Design
  ☆73Updated last month
• ketatam / DiffDock-PP
  Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)
  ☆207Updated last year
• DeepGraphLearning / ESM-GearNet
  ESM-GearNet for Protein Structure Representation Learning (https://arxiv.org/abs/2303.06275)
  ☆102Updated last year
• J-SNACKKB / FLIP
  A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
  ☆100Updated 8 months ago
• oxpig / AbLang
  AbLang: A language model for antibodies
  ☆142Updated last year
• Liuxg16 / GeoPPI
  ☆86Updated 2 years ago
• ProteinDesignLab / protein_seq_des
  Code for our paper "Protein sequence design with a learned potential"
  ☆79Updated last year
• DeepGraphLearning / PEER_Benchmark
  PEER Benchmark, appear at NeurIPS 2022 Dataset and Benchmark Track (https://arxiv.org/abs/2206.02096)
  ☆89Updated 2 years ago
• luost26 / diffab
  ✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)
  ☆327Updated last year
• piercelab / antibody_benchmark
  Antibody-Antigen Docking and Affinity Benchmark
  ☆71Updated 4 years ago
• bowen-gao / DrugCLIP
  [NeurIPS 2023] DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
  ☆90Updated last year
• bozhenhhu / A-Review-of-pLMs-and-Methods-for-Protein-Structure-Prediction
  ☆42Updated 2 years ago
• LBM-EPFL / PeSTo
  Geometric deep learning method to predict protein binding interfaces from a protein structure.
  ☆134Updated last year
• drorlab / gvp-pytorch
  Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure
  ☆282Updated 2 years ago
• biochunan / AsEP-dataset
  NeurIPS 2024 Dataset and Benchmark Submission "AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction"
  ☆25Updated 10 months ago
• chao1224 / ProteinDT
  A Text-guided Protein Design Framework, Nat Mach Intell 2025 (https://www.nature.com/articles/s42256-025-01011-z)
  ☆85Updated 5 months ago
• BorgwardtLab / proteinshake
  Protein structure datasets for machine learning.
  ☆109Updated 2 months ago
• divelab / GraphBP
  Official implementation of "Generating 3D Molecules for Target Protein Binding" [ICML2022 Long Presentation]
  ☆108Updated last year