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Accelerate drug repurposing with in-silico molecular modelling techniques, tools and databases: A comprehensive review
Department of Pharmacology, Faculty of Pharmacy, Bharath Institute of Higher Education and Research, Selaiyur, Chennai 600073, Tamil Nadu, India.
Review
International Journal of Science and Research Archive, 2024, 12(02), 309–327.
Article DOI: 10.30574/ijsra.2024.12.2.1197
Publication history:
Received on 21 May 2024; revised on 02 July 2024; accepted on 05 July 2024
Abstract:
Exploring innovative ways to accelerate drug repurposing through in-silico molecular modeling techniques, tools, and databases is paramount in modern pharmaceutical research. Exploring the vast landscape of drug repurposing presents both a challenge and an opportunity in the realm of pharmaceutical research. With the escalating costs and time-consuming nature of developing new drugs from scratch, the urgency to identify novel therapeutic uses for existing compounds has never been more pressing. Readers can expect a detailed exploration of how computational methods are revolutionizing drug repurposing efforts, offering insights into accelerated drug discovery and development timelines. This comprehensive review dives deep into the opportunities and challenges of leveraging computational approaches to identify new therapeutic uses for existing drugs and this article highlights the potential of in-silico methods to revolutionize drug discovery by repurposing existing compounds efficiently and cost-effectively, ultimately leading to faster development timelines and improved patient outcomes and will be focused for In-silico molecular modeling techniques, tools, and databases as powerful allies in expediting this crucial process.
Keywords:
Drug repurposing; In-silico molecular modeling; Biological databases; Molecular docking; Reverse docking; Pharmacophore mapping
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
