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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2014
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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. |
format | Online Article Text |
id | pubmed-4312366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
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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