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Molecular docking approaches in identification of High affinity inhibitors of Human SMO receptor

Inappropriate activation of the Hh signaling pathway has been implicated in the development of several types of cancers including prostate, lung, pancreas, breast, brain and skin. Present study identified the binding affinities of eight established inhibitors viz., Cyclopamine, Saridegib, Itraconazo...

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Autores principales: Akare, Uday Raj, Bandaru, Srinivas, Shaheen, Uzma, Singh, Pramod Kumar, Tiwari, Geet, Singare, Paramanand, Nayarisseri, Anuraj, Banerjee, Tushar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4312366/
https://www.ncbi.nlm.nih.gov/pubmed/25670876
http://dx.doi.org/10.6026/97320630010737
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author Akare, Uday Raj
Bandaru, Srinivas
Shaheen, Uzma
Singh, Pramod Kumar
Tiwari, Geet
Singare, Paramanand
Nayarisseri, Anuraj
Banerjee, Tushar
author_facet Akare, Uday Raj
Bandaru, Srinivas
Shaheen, Uzma
Singh, Pramod Kumar
Tiwari, Geet
Singare, Paramanand
Nayarisseri, Anuraj
Banerjee, Tushar
author_sort Akare, Uday Raj
collection PubMed
description Inappropriate activation of the Hh signaling pathway has been implicated in the development of several types of cancers including prostate, lung, pancreas, breast, brain and skin. Present study identified the binding affinities of eight established inhibitors viz., Cyclopamine, Saridegib, Itraconazole, LDE-225, TAK-441, BMS-833923 (XL139), PF-04449913 and Vismodegib targeting SMO receptor - a candidate protein involved in hedgehog pathway and sought to identify the best amongst the established inhibitors through by molecular docking. Exelxis® BMS 833923 (XL 139) demonstrated superior binding affinity aided by MolDock scoring docking algorithm. Further BMS 833923 (XL 139) was evaluated for pharmacophoric features which revealed appreciable ligand receptor interactions.
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spelling pubmed-43123662015-02-10 Molecular docking approaches in identification of High affinity inhibitors of Human SMO receptor Akare, Uday Raj Bandaru, Srinivas Shaheen, Uzma Singh, Pramod Kumar Tiwari, Geet Singare, Paramanand Nayarisseri, Anuraj Banerjee, Tushar Bioinformation Hypothesis Inappropriate activation of the Hh signaling pathway has been implicated in the development of several types of cancers including prostate, lung, pancreas, breast, brain and skin. Present study identified the binding affinities of eight established inhibitors viz., Cyclopamine, Saridegib, Itraconazole, LDE-225, TAK-441, BMS-833923 (XL139), PF-04449913 and Vismodegib targeting SMO receptor - a candidate protein involved in hedgehog pathway and sought to identify the best amongst the established inhibitors through by molecular docking. Exelxis® BMS 833923 (XL 139) demonstrated superior binding affinity aided by MolDock scoring docking algorithm. Further BMS 833923 (XL 139) was evaluated for pharmacophoric features which revealed appreciable ligand receptor interactions. Biomedical Informatics 2014-12-31 /pmc/articles/PMC4312366/ /pubmed/25670876 http://dx.doi.org/10.6026/97320630010737 Text en © 2014 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Akare, Uday Raj
Bandaru, Srinivas
Shaheen, Uzma
Singh, Pramod Kumar
Tiwari, Geet
Singare, Paramanand
Nayarisseri, Anuraj
Banerjee, Tushar
Molecular docking approaches in identification of High affinity inhibitors of Human SMO receptor
title Molecular docking approaches in identification of High affinity inhibitors of Human SMO receptor
title_full Molecular docking approaches in identification of High affinity inhibitors of Human SMO receptor
title_fullStr Molecular docking approaches in identification of High affinity inhibitors of Human SMO receptor
title_full_unstemmed Molecular docking approaches in identification of High affinity inhibitors of Human SMO receptor
title_short Molecular docking approaches in identification of High affinity inhibitors of Human SMO receptor
title_sort molecular docking approaches in identification of high affinity inhibitors of human smo receptor
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4312366/
https://www.ncbi.nlm.nih.gov/pubmed/25670876
http://dx.doi.org/10.6026/97320630010737
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