Alternatives and similar repositories for EGPDI

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

• lifanchen-simm / transformerCPI2.0
  Sequence-to-drug concept adds a perspective on drug design. It can serve as an alternative method to SBDD, particularly for proteins that…
  ☆67Updated last year
• zhaolongNCU / Demo-GraphDTA-
  小白入门DTA方向，GraphDTA作为经典的DTA模型，对于python基础不好，深度学习代码实操不强者，本github将代码细致的进行注释阐述，旨在记录学习过程，帮助更多入门者尽快入门！
  ☆22Updated 2 years ago
• CSUBioGroup / DTIAM
  A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.
  ☆43Updated 4 months ago
• guaguabujianle / MGraphDTA
  ☆51Updated 10 months ago
• zhaoqichang / HpyerAttentionDTI
  HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism. This repositor…
  ☆43Updated 4 years ago
• idrugLab / FG-BERT
  Code for "FG-BERT: A Self-Supervised Molecular Representation Learning Method Based on Functional Groups"
  ☆28Updated last year
• idrugLab / FP-GNN
  ☆66Updated 2 years ago
• biomed-AI / MUSE
  ☆26Updated last year
• DeepGraphLearning / ESM-GearNet
  ESM-GearNet for Protein Structure Representation Learning (https://arxiv.org/abs/2303.06275)
  ☆102Updated last year
• ai4protein / VenusFactory
  🏭 Easy data acquisition, benchmark resources, PLM fine-tuning for bio-researchers. (ACL Demo 2025)
  ☆94Updated 3 weeks ago
• ChengF-Lab / ImageMol
  ☆45Updated last year
• huankoh / PSICHIC
  PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence da…
  ☆106Updated last year
• peizhenbai / DrugBAN
  Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
  ☆123Updated 2 years ago
• pyli0628 / MPG
  ☆47Updated last year
• wzxxxx / Knowledge-based-BERT
  K-BERT for molecular property prediction.
  ☆30Updated 2 years ago
• schrojunzhang / KarmaDock
  ☆113Updated 10 months ago
• LiZhang30 / GPCNDTA
  GPCNDTA: prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores
  ☆17Updated 5 months ago
• JK-Liu7 / AttentionMGT-DTA
  ☆37Updated last year
• kanz76 / SSI-DDI
  ☆28Updated 4 years ago
• CSUBioGroup / BACPI
  A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.
  ☆30Updated 2 years ago
• hehh77 / NHGNN-DTA
  NHGNN-DTA: A Node-adaptive Hybrid Graph Neural Network for Interpretable Drug-target Binding Affinity Prediction
  ☆16Updated last year
• Layne-Huang / PMDM
  ☆131Updated 7 months ago
• Sinwang404 / DeepDDs
  ☆26Updated 3 years ago
• lihan97 / KPGT
  codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)
  ☆112Updated 9 months ago
• lvguofeng / GNN_PPI
  Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".
  ☆80Updated 3 years ago
• bowen-gao / DrugCLIP
  [NeurIPS 2023] DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
  ☆90Updated last year
• 595693085 / DGraphDTA
  a novel DTA predition method using graph neural network
  ☆74Updated last year
• lijianing0902 / CProMG
  ☆12Updated last year
• LiminLi-xjtu / CoVAE
  ☆10Updated 3 years ago
• guaguabujianle / EHIGN_PLA
  ☆21Updated last year