Bioinformatics in Pharmacology: Leveraging Data for Drug Discovery
DOI:
https://doi.org/10.36676/ssjmra.v2.i1.30Keywords:
Bioinformatics, Pharmacology, Drug discovery, Omics data, GenomicsAbstract
Bioinformatics has emerged as a critical tool in pharmacology, revolutionizing drug discovery and development through advanced data analytics and computational modeling. This review explores the pivotal role of bioinformatics in harnessing large-scale biological data to accelerate the identification and optimization of therapeutic agents. Key topics include the integration of omics data (genomics, proteomics, metabolomics) in drug target identification, the application of machine learning algorithms for predictive modeling of drug interactions and toxicity profiles, and the utilization of structural bioinformatics for rational drug design.
References
Jensen, Peter B., and Søren Brunak. "Mining electronic health records: towards better research applications and clinical care." Nature Reviews Genetics 18, no. 6 (2017): 391-392.
Kandoth, Cyriac, Michael D. McLellan, Fabio Vandin, Kai Ye, Beifang Niu, Charlie Lu, Michael X. Ding et al. "Mutational landscape and significance across 12 major cancer types." Nature 502, no. 7471 (2013): 333-339.
Chou, Kai-Tai, and Wei-Chun Kao. "Computational biology and bioinformatics in Taiwan: development and applications." BMC Genomics 15, no. 1 (2014): S14.
Altman, Russ B. "Translational bioinformatics: linking the molecular world to the clinical world." Clinical Pharmacology & Therapeutics 95, no. 5 (2014): 530-532.
Raghava, Gajendra PS, and Atul Tyagi. "Genomics and proteomics: Applications in drug discovery." Trends in Biotechnology 22, no. 10 (2004): 500-506.
Downloads
Published
How to Cite
License
Copyright (c) 2025 Shodh Sagar Journal for Medical Research Advancement
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.