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MCDSP

This repository contains the code and data for “Multi-modal Contrastive Drug Synergy Prediction Model Guided by Single Modality” Framework of MCDSP

Requirements

  • python == 3.7
  • pandas == 1.3.5
  • numpy == 1.21.6
  • rdkit == 2023.3.2
  • torch == 1.13.1
  • pytorch geometric == 2.3.1
  • scikit-learn == 1.0.2

Dataset

Original data

  • DrugCombDB is a database with the largest number of drug combinations to date.
  • Oncology-Screen is an unbiased oncology compound screen datasets.
  • Cell-protein Associations is harvested from the Cancer Cell Line Encyclopedia.
  • Protein-Protein Interaction Network is a comprehensive human interactome network.
  • Drug-protein Associations are based on FDA-approved or clinically investigational drugs.

Running the code

python main_DrugCombDB.py
python main_OncologyScreen.py

Default parameters of the scripts

Dataset CV_mode patience alpha beta learning_rate
DrugCombDB 1 40 5 0.5 0.001
DrugCombDB 2 90 10 0.05 0.0001
DrugCombDB 3 40 5 0.5 0.001
Dataset CV_mode patience alpha beta learning_rate
OncologyScreen 1 200 5 0.1 0.001
OncologyScreen 2 300 10 0.3 0.001
OncologyScreen 3 300 5 0.1 0.001

Concat

Author: Tong Luo Mail: 751980485@qq.com

Corresponding author:Xian-gan Chen Mail: chenxg@mail.scuec.edu.cn

Date: 2025-10-10

School of Biomedical Engineering, South-Central Minzu University, China

Feel free to cite this work if you find it useful to you !

@article{MCDSP,
    title = Multi-modal contrastive drug synergy prediction model guided by single modality,
    author = {Tong Luo, Zheng Zhang, Xian-gan Chen, Zhi Li},
    year = {2025},
    volume = {17},
    issue = {1},    
    journal = {Journal of Cheminformatics},
    doi = {10.1186/s13321-025-01087-0},
}

Others

This code framework is modified based on the HyperGraphSynergy method. https://github.com/liuxuan666/HypergraphSynergy

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