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In-vitro analysis of selective nutraceuticals binding to human transcription factors through computer aided molecular docking predictions.

Authors :
Teimouri M
Junaid M
Saleem S
Khan A
Ali A
Source :
Bioinformation [Bioinformation] 2016 Oct 17; Vol. 12 (7), pp. 354-358. Date of Electronic Publication: 2016 Oct 17 (Print Publication: 2016).
Publication Year :
2016

Abstract

The contest of cancer couldn't be completed without novel drug with novel modes of action, improved efficacy and acceptable pharmacokinetic properties. Transcription factors are attractive targets to develop anti-cancerous drugs. 6-Gingerol, Anethol analogues, Capsaicinoids, Curcumin, Dibenzoylmethane, Diosgenin, Eugenol, Gambogic acid, Thymoquinone, Ursolic acid, Xanthohumol, Zerumbone are the promising nutraceuticals that help in the prevention of cancer. These nutraceuticals showed promising activity in invitro tests. In this study In-silico tools were applied to confirm the activity of these nutraceuticals against the transcription factors including Nuclear Factor-Kappa B (NF-κB), AP-1, NRF2, PPAR-γ, β-catenin/Wnt and Sonic Hedgehog. This studied followed molecular docking based approach to verify the in-vitro activities of the said nutraceuticals against the cancer. Molecular Docking based approached provide a path towards the identification of novel ligands against these transcription factors. Based on the interaction of Cardamoninand capsaicin it was found to have an influencing role against the transcription factor like NF-κB andPPAR-γ. The interaction of Cardamoninwith NF- κBand capsaicinwith PPAR-γ provide a way toward structure-based virtual screening to identify novel ligands against the targets which could be very help full in successful chemotherapy of cancer. This study delivers structural features of nutraceuticals and its interactions against different transcription factors and gives a theoretical entry to use these compounds as a potential inhibitor against the transcription factors involved in cancer.

Details

Language :
English
ISSN :
0973-2063
Volume :
12
Issue :
7
Database :
MEDLINE
Journal :
Bioinformation
Publication Type :
Academic Journal
Accession number :
28246465
Full Text :
https://doi.org/10.6026/97320630012354