Network pharmacology approach to identifying optimal therapeutic targets in cancer drug discovery and development: Bibliometric analysis and scoping review

Anwar Rovik; Henra Henra; Farras Alifia Rahman; Izza Afkarina; Flafiani Cios Conara

doi:10.22146/ijpther.13076

Anwar Rovik Master's Program on Biotechnology, The Graduate School of Universitas Gadjah Mada, Yogyakarta, Indonesia/Cancer Chemoprevention Research Center (CCRC), Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia/Universitas Gadjah Mada Academic Hospital, Yogyakarta, Indonesia
Henra Henra Doctoral Study Program of Agricultural Science, Faculty of Agriculture, Universitas Gadjah Mada, Yogyakarta, Indonesia
Farras Alifia Rahman Master's Program on Biotechnology, The Graduate School of Universitas Gadjah Mada, Yogyakarta, Indonesia/Cancer Chemoprevention Research Center (CCRC), Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia
Izza Afkarina Master's Program on Biotechnology, The Graduate School of Universitas Gadjah Mada, Yogyakarta, Indonesia/Corpora Science, Yogyakarta, Indonesia
Flafiani Cios Conara Master's Program on Biotechnology, The Graduate School of Universitas Gadjah Mada, Yogyakarta, Indonesia

DOI: https://doi.org/10.22146/ijpther.13076

Keywords: bioinformatics, drug discovery, network pharmacology, precision medicine, traditional medicine

Abstract

A rise in chronic diseases, including cancer, increasingly strains public health. While conventional drug discovery often focuses on single molecules, this method frequently fails to address complex diseases with multiple causes. Network pharmacology, a systems biology approach, provides a more complete understanding of disease mechanisms by analyzing intricate biological networks. By combining multi-omics data and computational models, network pharmacology helps identify new drug targets and cellular pathways. This approach is especially promising in cancer research, where it can reveal complex interactions between genes, proteins, and metabolites. This review explains the principles of network pharmacology and its use in cancer drug discovery. We cover the process, from network building and analysis to experimental testing. Additionally, we examine how network pharmacology can speed up the development of personalized cancer treatments.

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