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PMID: 23185312 Published · ppublish English Journal Article

Applying ligands profiling using multiple extended electron distribution based field templates and feature trees similarity searching in the discovery of new generation of urea-based antineoplastic kinase inhibitors.

PloS one ·Vol. 7 ·No. 11 ·2012-00-00 ·页码 e49284

Dokla EM, Mahmoud AH, Elsayed MS, El-Khatib AH, Linscheid MW, Abouzid KA

Abstract

This study provides a comprehensive computational procedure for the discovery of novel urea-based antineoplastic kinase inhibitors while focusing on diversification of both chemotype and selectivity pattern. It presents a systematic structural analysis of the different binding motifs of urea-based kinase inhibitors and the corresponding configurations of the kinase enzymes. The computational model depends on simultaneous application of two protocols. The first protocol applies multiple consecutive validated virtual screening filters including SMARTS, support vector-machine model (ROC = 0.98), Bayesian model (ROC = 0.86) and structure-based pharmacophore filters based on urea-based kinase inhibitors complexes retrieved from literature. This is followed by hits profiling against different extended electron distribution (XED) based field templates representing different kinase targets. The second protocol enables cancericidal activity verification by using the algorithm of feature trees (Ftrees) similarity searching against NCI database. Being a proof-of-concept study, this combined procedure was experimentally validated by its utilization in developing a novel series of urea-based derivatives of strong anticancer activity. This new series is based on 3-benzylbenzo[d]thiazol-2(3H)-one scaffold which has interesting chemical feasibility and wide diversification capability. Antineoplastic activity of this series was assayed in vitro against NCI 60 tumor-cell lines showing very strong inhibition of GI(50) as low as 0.9 uM. Additionally, its mechanism was unleashed using KINEX™ protein kinase microarray-based small molecule inhibitor profiling platform and cell cycle analysis showing a peculiar selectivity pattern against Zap70, c-src, Mink1, csk and MeKK2 kinases. Interestingly, it showed activity on syk kinase confirming the recent studies finding of the high activity of diphenyl urea containing compounds against this kinase. Allover, the new series, which is based on a new kinase scaffold with interesting chemical diversification capabilities, showed that it exhibits its "emergent" properties by perturbing multiple unexplored kinase pathways.

MeSH 主题词
Algorithms Antineoplastic Agents/chemical synthesis,chemistry,classification,pharmacology Cell Cycle/drug effects Cell Line, Tumor Cell Proliferation/drug effects Cyclin-Dependent Kinase 2/antagonists & inhibitors,metabolism Drug Discovery Electrons Humans Inhibitory Concentration 50 Intracellular Signaling Peptides and Proteins/antagonists & inhibitors,metabolism Ligands Models, Molecular Protein Kinase Inhibitors/chemical synthesis,chemistry,classification,pharmacology Protein-Tyrosine Kinases/antagonists & inhibitors,metabolism Support Vector Machine Syk Kinase Urea/chemistry p38 Mitogen-Activated Protein Kinases/antagonists & inhibitors,metabolism
化学物质
Antineoplastic Agents Intracellular Signaling Peptides and Proteins Ligands Protein Kinase Inhibitors Urea Protein-Tyrosine Kinases SYK protein, human Syk Kinase Cyclin-Dependent Kinase 2 p38 Mitogen-Activated Protein Kinases
作者与单位
共 6 位作者,点击展开单位 / ORCID
Dokla Eman M
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt. [email protected]
Mahmoud Amr H
Elsayed Mohamed S A
El-Khatib Ahmed H
Linscheid Michael W
Abouzid Khaled A
Article Info
Journal
PloS one
Abbr.
PLoS One
ISSN
1932-6203
Corresponding email
Published
2012-00-00
电子出版
2012-00-20
页码
e49284
Language
English
Country/Region
United States
NLM ID
101285081
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