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Review Papers | Biotechnology | Volume 15 Issue 1, January 2026 | Pages: 1495 - 1500 | India
Predictive Modeling of Drug-Drug Interactions in Personalized Medicine Using Network Pharmacology
Abstract: The goal of personalized medicine is to enhance therapeutic efficacy by customizing the treatment of each individual patient. As a consequence of the increasing incidence of polypharmacy (the simultaneous use of multiple pharmaceutical agents), a primary clinical concern is Drug Interactions (DIE), which may negatively influence both the effectiveness and safety of therapeutic agents causing adverse effects related to drug use and reduced effectiveness in patients with complex problems. Classic methods for identifying DEI are limited due to their inability to effectively scale to the number of agents used, and limited knowledge of the entire system's effects on drug action. Network pharmacology has developed into a useful framework for developing in silico, predictive models for DDI, through combining information regarding the relationship between Drugs & Targets, The Biological Pathways, and the various Disease Networks, as well as Multi-Omics Data (genomics, transcriptomics, proteomics), allowing researchers to model and/or predict the potential interactions of multiple drugs through Networks of Biological Interactions, rather than relying upon single drug to target models. The combination of Network Pharmacology with Personalized Medicine has provided many tools that improve clinical decision-making, ensure patient safety, and facilitate individualized treatment. Continued developments that utilize the integration of Network-based Models, Pharmacogenomics, Real-world clinical Data, and Artificial Intelligence to increase the precision and accuracy used in the prediction of DDI will likely accelerate the implementation of such models into clinical practice.
Keywords: Personalized Medicine, Drug?Drug Interactions, Network Pharmacology, Predictive Modeling, Pharmacogenomics
How to Cite?: Dona Maria Michael, Elamathi Natarajan, "Predictive Modeling of Drug-Drug Interactions in Personalized Medicine Using Network Pharmacology", Volume 15 Issue 1, January 2026, International Journal of Science and Research (IJSR), Pages: 1495-1500, https://www.ijsr.net/getabstract.php?paperid=SR26122124902, DOI: https://dx.dx.doi.org/10.21275/SR26122124902