Synergy Prediction Through Graph-Based Molecular Interaction Modelling: AI-Based Computational Approaches to Drug Combination Therapy Optimisation

Authors

  • Anna Wilson Associate Professor of Information Technology, Mälardalen University

Keywords:

synergy prediction, graph-based molecular interaction modelling, computational approaches to drug combination therapy optimisation, machine learning

Abstract

Drug Combination Therapy. Systemic diseases, such as infectious diseases and cancer, are the result of complex multifactorial interactions of biological systems. Monotherapies face limitations of less than ideal pharmacokinetics, high toxicity due to required high dosages, or the inevitable physiologically optimized signal to cell growth. For these reasons, medical treatments are looking more and more to combination therapies to treat such new diseases.

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Published

30-06-2026

How to Cite

[1]
“Synergy Prediction Through Graph-Based Molecular Interaction Modelling: AI-Based Computational Approaches to Drug Combination Therapy Optimisation”, J. Computational Intel. & Robotics, vol. 6, no. 1, pp. 9–16, Jun. 2026, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/jcir/article/view/732