SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy

SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy

Drug combination therapy shows promise in cancer treatment by addressing drug resistance, reducing toxicity, and enhancing therapeutic efficacy. However, the intricate and dynamic nature of biological systems makes identifying potential synergistic drugs a costly and time-consuming endeavor. To faci...

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Bibliographic Details
Main Authors: Mengmeng Liu, Gopal Srivastava, J. Ramanujam, Michal Brylinski
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Biomolecules
Subjects:
drug combination
cancer treatment
graph neural network
drug synergistic effects
drug antagonistic effects
data augmentation
Online Access:https://www.mdpi.com/2218-273X/14/3/253

Internet

https://www.mdpi.com/2218-273X/14/3/253

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