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In silico identification of targets for a novel scaffold, 2-thiazolylimino-5-benzylidin-thiazolidin-4-one

Overview of attention for article published in Molecular Diversity, April 2015
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Title
In silico identification of targets for a novel scaffold, 2-thiazolylimino-5-benzylidin-thiazolidin-4-one
Published in
Molecular Diversity, April 2015
DOI 10.1007/s11030-015-9578-2
Pubmed ID
Authors

Poornima Iyer, Jahnavi Bolla, Vivek Kumar, Manjinder Singh Gill, M. Elizabeth Sobhia

Abstract

Thiazolidinone derivatives have been found to exhibit a wide range of pharmacological activities. 2-Thiazolylimino-5-benzylidene-thiazolidin-4-one derivatives show antibacterial activity in in vitro tests which are comparable to marketed drugs. However, the target for this scaffold remains yet to be identified. In our work, we identified seven putative targets for this scaffold using web servers such as DRAR-CPI, PharmMapper, and TarFisDock and databases such as BindingDB and ChEMBL. Each of these servers used different algorithms and scoring functions for protein target identification. Further, these targets are substantiated by molecular docking analysis. Based on the docking studies, scaffold 2-thiazolylimino-5-benzylidene-thiazolidin-4-one is observed to exhibit affinity against diverse targets, particularly, towards COX-2, acetylcholinesterase, aldose reductase, and thyroid hormone receptor alpha. This study describes an initial probability that these proteins may be targeted by this scaffold.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Researcher 4 25%
Other 1 6%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 19%
Biochemistry, Genetics and Molecular Biology 3 19%
Chemistry 3 19%
Computer Science 2 13%
Agricultural and Biological Sciences 2 13%
Other 0 0%
Unknown 3 19%