A QSAR Analysis of a Series of Acridone Derivatives Acting as HCV Inhibitors

Authors

  • Arun Kumar Department of Medicinal Chemistry, School of Pharmacy, Bharat Institute of Technology, Meerut, 250103 (U.P.), India Author
  • Vaishali M. Patil Department of Medicinal Chemistry, School of Pharmacy, Bharat Institute of Technology, Meerut, 250103 (U.P.), India Author
  • S.P. Gupta National Institute of Teachers Training and Research, Bhopal, India Author
  • Amit Tripathi National Institute of Teachers Training and Research, Bhopal, India Author

DOI:

https://doi.org/10.5530/ddd.1.2.1

Keywords:

HCV, QSAR, multiple regression analysis, correlation coefficient, CMR

Abstract

Hepatitis C virus (HCV) was first identified in 1981. It has affected nearly 200 million people worldwide. The current treatment regimen has severe side effects and it demands new and effective drugs. In drug design and development, QSAR (Quantitative Structure-Activity Relationship) studies are of great help as they rationalize the drug synthesis and explain drug-receptor interactions. We performed a QSAR analysis on a data set of 33 acridone derivatives acting as HCV RNA replication inhibitors. The obtained correction has shown significant contribution of calculated molar refractivity, and hydrophobicity with rcv 2 = 0.87. These results can be used to design novel scaffolds acting as anti-HCV agents.

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Published

2024-02-12

Issue

Vol. 1 No. 2 (2014): Vol. 1 No. 2 (2014): Drug Discovery and Development

Section

Articles

How to Cite

A QSAR Analysis of a Series of Acridone Derivatives Acting as HCV Inhibitors. (2024). Drug Discovery and Development, 1(2), 56-63. https://doi.org/10.5530/ddd.1.2.1