Bioinformatics Tools for Pharmaceutical Drug Product Development


  • Johra Khan Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, 11952, Al Majmaah, Saudi Arabia. E-mail address:; Health and Basic Sciences Research Center, Majmaah University, Al Majmaah 11952, Saudi Arabia
  • Rajeev K. Singla Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Xinchuan Road 2222, Chengdu, Sichuan, China



Drug Discovery, Bioinformatics, Cheminformatics, Drug Development


Drug discovery and production is a long and expensive process which starts with target identification followed by validation of targets to lead optimization, taking years to develop a drug which sometime false to reach marked resulting in loss of time, effort, and huge amount of money. Bioinformatics tools are becoming more and more important in drug product development. Repurposing large amount of data needs to be exploited and generated from genomics, epigenetics, cistromic, proteomics, transcriptomics, ribosomal profiling, and genomic based studies of drug targets. Bioinformatics analysis and data mining are effective tools to explore big series of biological and biomedical data, however the advance tools are often found difficult to understand making their use limited to difficult to access by the researchers working in drug discovery. In this review we focused on systematically presenting the different tools used for drug target identification and product development. The tools are broadly classified according to disease based computational tools, gene based tools, and web based tools and ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) study for drug repurposing. The focus was on the basic principle of these tools functioning, uses and limitations in drug target identification, validation, data analysis, comparison with other similar tools in target analysis. © 2022 Caproslaxy Media. All rights reserved.


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How to Cite

Khan, J., & Singla, R. K. (2022). Bioinformatics Tools for Pharmaceutical Drug Product Development. Indo Global Journal of Pharmaceutical Sciences, 12, 281–294.



Review Article