Review on Computer-Aided Drug Design in RAS Inhibitor Discovery

Year : 2024 | Volume : | : | Page : –
By

Satish kumar Yadav,

Mohd. Wasiullah,

Piyush Yadav,

Alqama Zehra,

Mr. Sushil Yadav,

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

Abstract

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

How to cite this article: Satish kumar Yadav, Mohd. Wasiullah, Piyush Yadav, Alqama Zehra, Mr. Sushil Yadav. Review on Computer-Aided Drug Design in RAS Inhibitor Discovery. International Journal of Pathogens. 2024; ():-.
How to cite this URL: Satish kumar Yadav, Mohd. Wasiullah, Piyush Yadav, Alqama Zehra, Mr. Sushil Yadav. Review on Computer-Aided Drug Design in RAS Inhibitor Discovery. International Journal of Pathogens. 2024; ():-. Available from: https://journals.stmjournals.com/ijpg/article=2024/view=155698

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Ahead of Print Subscription Review Article
Volume
Received May 10, 2024
Accepted May 14, 2024
Published July 9, 2024
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