Previous Page  18 / 27 Next Page
Information
Show Menu
Previous Page 18 / 27 Next Page
Page Background

Page 74

allied

academies

J Pharmacol Ther Res 2017 Volume 1 Issue 2

November 02-03, 2017 Chicago, USA

4

th

International Congress on

International Conference and Exhibition on

Drug Discovery, Designing and Development

Biochemistry, Molecular Biology: R&D

&

W

e have efficient group based quantitative structure–

activity relationships (G-QSAR). Exploring the

relationship between the structures of a new promising

family of 2- phenazinamine derivatives and their anticancer

activities. We have residential evocative model, to aid in

further optimization and expansion of newer anticancer

agents containing pharmacophore. G-QSAR was performed

on VLife molecular design suite (MDS) 4.2 version software.

The extrapolative authority of the G-QSAR was checked

through the cross-validation method and by separation

some compounds as fraction of external test set. Synthesis

of 5 novel derivatives 2- phenazinamine derivative by using

result of GQSAR and screening of

in vitro

anticancer activity

on K562 cell line was done in Tata Memorial Cancer Research

Center Mumbai, India, showing improve anticancer activity.

Phenazinamine and the analogues have better binding

interactions with Oxidoreductase (PDB: 1YYD.) The binding

energies of the protein-ligand interactions also confirm that

the ligands are fit into the active pockets of receptor tightly.

Docking perform in Autodock 4.2 version software.

e:

sonwane.gajanan@rediffmail.com

Application of computer aided drug design strategies for optimization of anticancer activity of

phenazinamine derivatives

Gajanan Sonwane

and

Mayura Kale

Government College of Pharmacy, India