UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 6 Issue 1
January-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRDW06043


Registration ID:
232448

Page Number

247-255

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Title

In-Silico therapeutic approach for identification of drug targets for Tropheryma whipplei

Abstract

Abstract: Tropheryma whipplei is main causative agent of whipple ailment as it is multisystemic fatal disorder and there is still need of developing best regimens for its regulation. To control its spread and to treat it effectively three drugs were identified in this study by deploying pharmaco-informatic approach. 2-amino-7-fluoro-5-oxo-5H-chromeno[2,3-b]pyridine-3-carboxamide (2APC), Nicotinamide mononucleotide(NMN), and Riboflavin monophosphate(RFMP) were found to be putative drugs. 2APC and NMN inhibits activity of DNA Ligase enzyme of this bacterium and effective in impairing replication and repair mechanisms, while RFMP exhibits inhibitory effect on Chorismate synthase that leads impairment of amino acid metabolism or biosynthesis. In this study effective alignment tools like BLAST, CDART, CD-HIT were used to select enzymes. Phyre2 based on HMM algorithm is deployed to find best structural models of selected enzymatic proteins. AutoDock-Vina tool is used for docking and scoring binding energies of these drugs with considered enzymatic domains. 2APC and NMN inhibiting DNA Ligase exhibits -8.3 and -8.2 kcal/mol respectively while RFMP inhibiting Chorismate synthase -7.3 kcal/mol. This intensive and novel study is easy, fast, and useful in predicting drugs by In-silico approach.

Key Words

Keywords- Drug, In-silico, Binding energy, Allignment, DNA-Ligase, Chorismate synthase, Docking

Cite This Article

"In-Silico therapeutic approach for identification of drug targets for Tropheryma whipplei", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.247-255, January 2019, Available :http://www.jetir.org/papers/JETIRDW06043.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"In-Silico therapeutic approach for identification of drug targets for Tropheryma whipplei", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp247-255, January 2019, Available at : http://www.jetir.org/papers/JETIRDW06043.pdf

Publication Details

Published Paper ID: JETIRDW06043
Registration ID: 232448
Published In: Volume 6 | Issue 1 | Year January-2019
DOI (Digital Object Identifier):
Page No: 247-255
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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