Sequence analysis, structure and binding site prediction of Sigma 1 receptor protein by in silico method

Sigma 1 Receptor is a subtype of opioid receptor that participates in membrane remodeling and cellular differentiation in the nervous system. Sigma1 Receptor protein with amino acid length ranging from 229 is widely distributed in the liver and moderately in the intestine, kidney, white pulp of the...

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Autores principales: Latha, Narayanasamy Lokeswaran, Gyananath, Garimella, Zubaidha, Pudukulathan Kader
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2013
Materias:
Hypothesis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3867645/
https://www.ncbi.nlm.nih.gov/pubmed/24391355
http://dx.doi.org/10.6026/97320630009944
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author Latha, Narayanasamy Lokeswaran
Gyananath, Garimella
Zubaidha, Pudukulathan Kader
author_facet Latha, Narayanasamy Lokeswaran
Gyananath, Garimella
Zubaidha, Pudukulathan Kader
author_sort Latha, Narayanasamy Lokeswaran
collection PubMed
description Sigma 1 Receptor is a subtype of opioid receptor that participates in membrane remodeling and cellular differentiation in the nervous system. Sigma1 Receptor protein with amino acid length ranging from 229 is widely distributed in the liver and moderately in the intestine, kidney, white pulp of the spleen, adrenal gland, brain, placenta and the lung. In this study, the three dimensional structure for sigma 1 receptor protein has been developed by in- silico analysis based on evolutionary trace analysis of 37 sigma proteins from different sources. The present work focus on identification of functionally important residues and its interaction with antipsychotic drugs reported in literature.
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spelling pubmed-38676452014-01-03 Sequence analysis, structure and binding site prediction of Sigma 1 receptor protein by in silico method Latha, Narayanasamy Lokeswaran Gyananath, Garimella Zubaidha, Pudukulathan Kader Bioinformation Hypothesis Sigma 1 Receptor is a subtype of opioid receptor that participates in membrane remodeling and cellular differentiation in the nervous system. Sigma1 Receptor protein with amino acid length ranging from 229 is widely distributed in the liver and moderately in the intestine, kidney, white pulp of the spleen, adrenal gland, brain, placenta and the lung. In this study, the three dimensional structure for sigma 1 receptor protein has been developed by in- silico analysis based on evolutionary trace analysis of 37 sigma proteins from different sources. The present work focus on identification of functionally important residues and its interaction with antipsychotic drugs reported in literature. Biomedical Informatics 2013-12-06 /pmc/articles/PMC3867645/ /pubmed/24391355 http://dx.doi.org/10.6026/97320630009944 Text en © 2013 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
Latha, Narayanasamy Lokeswaran
Gyananath, Garimella
Zubaidha, Pudukulathan Kader
Sequence analysis, structure and binding site prediction of Sigma 1 receptor protein by in silico method
title Sequence analysis, structure and binding site prediction of Sigma 1 receptor protein by in silico method
title_full Sequence analysis, structure and binding site prediction of Sigma 1 receptor protein by in silico method
title_fullStr Sequence analysis, structure and binding site prediction of Sigma 1 receptor protein by in silico method
title_full_unstemmed Sequence analysis, structure and binding site prediction of Sigma 1 receptor protein by in silico method
title_short Sequence analysis, structure and binding site prediction of Sigma 1 receptor protein by in silico method
title_sort sequence analysis, structure and binding site prediction of sigma 1 receptor protein by in silico method
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3867645/
https://www.ncbi.nlm.nih.gov/pubmed/24391355
http://dx.doi.org/10.6026/97320630009944
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