A Review of Drug Design Techniques Assisted by Computers to Combat Diabetes

Year : 2024 | Volume :01 | Issue : 01 | Page : –
By

Satish kumar Yadav

  1. Associate Professor, Dept. of Pharmacy, Prasad Institute of Technology, Jaunpur Uttar Pradesh India

Abstract

Diabetes mellitus is a global health concern characterized by chronic hyperglycemia and associated complications. The creation of innovative medicines with enhanced efficacy and safety profiles continues to be a top focus, notwithstanding improvements in treatment. A useful method in drug development, computer-aided drug design (CADD) makes it easier to identify possible therapeutic candidates and optimise lead molecules. An extensive synopsis of CADD tactics used in the fight against diabetes is given in this review. It explores virtual screening, molecular docking, pharmacophore modeling, and molecular dynamics simulations, highlighting their applications in identifying novel targets, lead compounds, and multi-target drug combinations. Additionally, it discusses challenges such as data integration, experimental validation, and ethical considerations, along with opportunities for future research, including the integration of artificial intelligence, high-throughput screening, and personalized medicine approaches. This review underscores the potential of CADD to accelerate the discovery of innovative therapeutics for diabetes management, ultimately improving patient outcomes and addressing unmet clinical needs.

Keywords: Diabetes mellitus, Computer-aided drug design (CADD), Virtual screening, Molecular docking, Pharmacophore modelling, Molecular dynamics simulations, Drug discovery, Therapeutic targets, Personalized medicine, Artificial intelligence

[This article belongs to International Journal of Pathogens(ijpg)]

How to cite this article: Satish kumar Yadav. A Review of Drug Design Techniques Assisted by Computers to Combat Diabetes. International Journal of Pathogens. 2024; 01(01):-.
How to cite this URL: Satish kumar Yadav. A Review of Drug Design Techniques Assisted by Computers to Combat Diabetes. International Journal of Pathogens. 2024; 01(01):-. Available from: https://journals.stmjournals.com/ijpg/article=2024/view=146949

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Regular Issue Subscription Review Article
Volume 01
Issue 01
Received May 11, 2024
Accepted May 15, 2024
Published May 20, 2024
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