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Identification of Novel CDK Inhibitors by Molecular Docking and Consensus Scoring Approach

by Satyanarayana Kotha, Yesubabu Adimulam, Kiran Kumar Reddi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 5
Year of Publication: 2015
Authors: Satyanarayana Kotha, Yesubabu Adimulam, Kiran Kumar Reddi
10.5120/ijca2015906972

Satyanarayana Kotha, Yesubabu Adimulam, Kiran Kumar Reddi . Identification of Novel CDK Inhibitors by Molecular Docking and Consensus Scoring Approach. International Journal of Computer Applications. 130, 5 ( November 2015), 24-29. DOI=10.5120/ijca2015906972

@article{ 10.5120/ijca2015906972,
author = { Satyanarayana Kotha, Yesubabu Adimulam, Kiran Kumar Reddi },
title = { Identification of Novel CDK Inhibitors by Molecular Docking and Consensus Scoring Approach },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 5 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number5/23206-2015906972/ },
doi = { 10.5120/ijca2015906972 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:24:34.182983+05:30
%A Satyanarayana Kotha
%A Yesubabu Adimulam
%A Kiran Kumar Reddi
%T Identification of Novel CDK Inhibitors by Molecular Docking and Consensus Scoring Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 5
%P 24-29
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cyclin Dependent Kinases go about as potential remedial focuses in cancer disease and several efforts are under way to find out more specific, potent and selective CDK inhibitors. In this paper, reported a computational molecular docking approach to screen approved drugs from DrugBank database. Docking and scoring of all compounds was done using Molegro Virtual Docker software, evaluated the binding affinities towards CDK-2, 4, 5 and 9 enzymes 2W9F, 2UZO, 1UNH and 3BLR resulted in variable dock scores. The resultant top 14 hits from a dataset of 1584 approved drugs were found to be more specific towards CDK inhibition. Further, re-scoring of 14 best docked poses followed by a consensus scoring approach retrieved top hits. In this study, tested three different scoring functions such as MolDock score of Molegro software, GOLD score and AutoDock. From the analysis, it was observed that Olmesartan and Telmisartan were reported to have high binding affinities with all CDKs tested.

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Index Terms

Computer Science
Information Sciences

Keywords

Cyclin-dependent kinases Molecular docking Consensus scoring Binding affinity DrugBank database Olmesartan Telmisartan Protein Data Bank.

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