Review on Computer-Aided Drug Design in RAS Inhibitor Discovery

Year : 2024 | Volume :11 | Issue : 03 | Page : 48-55
By
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Mohd. Wasiullah,

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Piyush Yadav,

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Alqama Zehra,

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Satish kumar Yadav,

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Sushil Yadav,

  1. Principal, Department of Pharmacy, Prasad Institute of Technology, Uttar Pradesh, India
  2. Academic Head, Department of Pharmacy, Prasad Institute of Technology, Uttar Pradesh, India
  3. Research Scholar, Department of Pharmacy, Prasad Institute of Technology, Uttar Pradesh, India
  4. Associate Professor, Department of Pharmacy, Prasad Institute of Technology, Uttar Pradesh, India
  5. Lecturer, Department of Pharmacy, Prasad Institute of Technology,, Uttar Pradesh, India

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This review explores the utilization of computer-aided drug design (CADD) methodologies in the discovery of inhibitors targeting the RAS pathway, a pivotal signaling cascade implicated in various cancers. Through an extensive examination of computational tools, methodologies, challenges, and recent advancements, this review aims to provide insights into the role of CADD in accelerating RAS inhibitor discovery. The discovery of effective inhibitors targeting the RAS pathway is of paramount importance in cancer therapeutics, given the critical role of RAS proteins in oncogenesis. Computer-aided drug design (CADD) methodologies have emerged as indispensable tools in accelerating the identification and optimization of RAS inhibitors. This review provides a comprehensive overview of the applications of CADD in RAS inhibitor discovery, encompassing molecular modeling, virtual screening, machine learning, and structural biology techniques. Through an exploration of recent advancements, challenges, and opportunities in the field, this review aims to elucidate the potential of CADD in driving innovation and accelerating the development of novel therapeutics for RAS- driven cancers.

Keywords: RAS pathway, computer-aided drug design (CADD), RAS inhibitors, molecular modelling, virtual screening, machine learning, structural biology, cancer therapeutics, precision oncology, drug discovery

[This article belongs to Research & Reviews: A Journal of Drug Design & Discovery (rrjoddd)]

How to cite this article:
Mohd. Wasiullah, Piyush Yadav, Alqama Zehra, Satish kumar Yadav, Sushil Yadav. Review on Computer-Aided Drug Design in RAS Inhibitor Discovery. Research & Reviews: A Journal of Drug Design & Discovery. 2024; 11(03):48-55.
How to cite this URL:
Mohd. Wasiullah, Piyush Yadav, Alqama Zehra, Satish kumar Yadav, Sushil Yadav. Review on Computer-Aided Drug Design in RAS Inhibitor Discovery. Research & Reviews: A Journal of Drug Design & Discovery. 2024; 11(03):48-55. Available from: https://journals.stmjournals.com/rrjoddd/article=2024/view=0

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Regular Issue Subscription Review Article
Volume 11
Issue 03
Received 10/05/2024
Accepted 22/10/2024
Published 26/11/2024
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