LEAD OPTIMIZATION STUDIES ON NOVEL QUINOLINES DERIVATIVES AS CYP- 450 INHIBITOR BY USING IN-SILICO MODULATION
Rashmi Pathak* and Himanshu Joshi
The In-silico studies considered as complementary to in vivo and in vitro biological studies are performed by using
a computer and are playing increase larger and more important role in drug discovery and development. We
describe here in In-silico study of various hypothetical Quinolines and their interactions with CYP450 enzymes by
computational methods including chem draw ultra, Avogadro and ochem database software methods. We worked
on a chemical reaction scheme of Quinolines and we prepared different 20 Quinolines derivatives. The CYP450
super family of heme enzymes plays an important role in the metabolism of a large number of endogenous and
exogenous compounds including most of the drugs currently on the market. Comprehensive studies of the quantum
approaches on the quinolines derivative QD17, was found to be CYP450 enzymes inhibitors interactions. The
quantum approaches by lead optimization will require further studies; the data reported in this work may be helpful
guide for medicinal chemist who is working in this area.
Keywords: In-silico, Quinoline, CYP450 inhibitor.
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