Bioinformatics Tools for Pharmaceutical Drug Product Development
Keywords: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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