©2023-2035 All Rights Reserved. Online Journal of Veterinary Research.  You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to onlinejournals@gmail.com publications.. This article may be copied once but may not be, reproduced or  re-transmitted without the express permission of the editors. Linking: To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.             

                                                                                                                                                                                                                                                                                                                                                                                                                                                           

OJVRTM

 

Online Journal of Veterinary Research©

(Including Medical and Laboratory Research)

Established 1994

ISSN 1328-925X

 

Volume 28 (9): 558-565, 2024.

Gene microarray expression analysis targets for tuberculosis.

 

Anu Rastogi, Pallavi Gangwar, Ankur Mohan, Santosh Kumar, Abhishek Malakar

 

Amity University, Noida, BCS-InSilico Biology, Lucknow, U.P, National Bureau of Fish Genetic Resources, Lucknow, U.P, India.

 

ABSTRACT

 

Rastogi A, Gangwar P, Mohan A, Kumar S, Malakar A., Gene microarray expression analysis targets for tuberculosis, Onl J Vet Res., 28 (9): 558-565, 2024. Hierarchical and k means clustering methods have been used for the analysis of microarray gene expression data of Mycobacterium Tuberculosis. By microarray we found that IFNA2 and IFNB1 genes had slight different expressions to yield 20 genes relevant to tuberculosis from 6 clusters from 52 datasets. By phylogenetic analysis INS-IGF2 and TNP2 proteins were generated and structure of ICS-IGF2 was modeled for docking ligands of -15.3 K/cal/mol for binding compared to -13.5 K/cal/mol from Drugbank. Our findings suggest our proteins may bind more strongly compared with current tuberculosis drugs. By co-expression, we generated INS- IGF2 and TNP2 gene targets in Mycobacterium Tuberculosis.

 

Keywords: Mycobacterium tuberculosis, microarrays, phylogenetic, binding, drug targets.

MAIN

 

FULL-TEXT (SUBSCRIBE OR PURCHASE TITLE)