Investigating the effectiveness of Benzamide Derivatives as Anti-TB Agents: a Comparative Analysis with Existing Drugs

Abhishikta Chakladar , Chinmay Pandey , Yash Bhandari

Benzamide derivatives, anti-TB agents, Quinazoline derivatives, pharmacokinetic studies using Swiss ADME software, Molegro Virtual Docker docking, amino-acid interactions with target proteins, 4U0K,4U0J, tuberculosis.

This research investigates the potential of benzamide derivatives as anti-TB agents. A total of 72 molecules were designed by substituting some Quinazoline derivatives, which have previously shown good anti-tubercular activities. These molecules were then subjected to pharmacokinetic studies using Swiss ADME software. To further evaluate their effectiveness, the designed molecules were docked using Molegro Virtual Docker to study their amino-acid interactions with target proteins. The results showed that some of the designed molecules had promising amino-acid interactions and could potentially be effective anti-TB agents. This study provides valuable insights into the development of new drugs to combat TB.

Published Paper   E-Certificate

"Investigating the effectiveness of Benzamide Derivatives as Anti-TB Agents: a Comparative Analysis with Existing Drugs", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 5, page no.206 - 223, May-2023, Available :https://ijsdr.org/papers/IJSDR2305031.pdf

Volume 8 Issue 5, May-2023

Pages : 206 - 223

Paper Reg. ID: IJSDR_205994

Published Paper Id: IJSDR2305031

Downloads: 000347303

Research Area: Pharmacy

Country: Indore, Madhya Pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2305031

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2305031

DOI: http://doi.one/10.1729/Journal.34201

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition