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In Silico Docking of HNF-1a Receptor Ligands
Background. HNF-1a is a transcription factor that regulates glucose metabolism by expression in various tissues. Aim. To dock potential ligands of HNF-1a using docking software in silico. Methods. We performed in silico studies using HNF-1a protein 2GYP·pdb and the following softwares: ISIS/Draw 2.5...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3535823/ https://www.ncbi.nlm.nih.gov/pubmed/23316227 http://dx.doi.org/10.1155/2012/705435 |
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author | Sridhar, Gumpeny Ramachandra Nageswara Rao, Padmanabhuni Venkata Kaladhar, Dowluru SVGK Devi, Tatavarthi Uma Kumar, Sali Veeresh |
author_facet | Sridhar, Gumpeny Ramachandra Nageswara Rao, Padmanabhuni Venkata Kaladhar, Dowluru SVGK Devi, Tatavarthi Uma Kumar, Sali Veeresh |
author_sort | Sridhar, Gumpeny Ramachandra |
collection | PubMed |
description | Background. HNF-1a is a transcription factor that regulates glucose metabolism by expression in various tissues. Aim. To dock potential ligands of HNF-1a using docking software in silico. Methods. We performed in silico studies using HNF-1a protein 2GYP·pdb and the following softwares: ISIS/Draw 2.5SP4, ARGUSLAB 4.0.1, and HEX5.1. Observations. The docking distances (in angstrom units: 1 angstrom unit (Å) = 0.1 nanometer or 1 × 10(−10) metres) with ligands in decreasing order are as follows: resveratrol (3.8 Å), aspirin (4.5 Å), stearic acid (4.9 Å), retinol (6.0 Å), nitrazepam (6.8 Å), ibuprofen (7.9 Å), azulfidine (9.0 Å), simvastatin (9.0 Å), elaidic acid (10.1 Å), and oleic acid (11.6 Å). Conclusion. HNF-1a domain interacted most closely with resveratrol and aspirin |
format | Online Article Text |
id | pubmed-3535823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-35358232013-01-11 In Silico Docking of HNF-1a Receptor Ligands Sridhar, Gumpeny Ramachandra Nageswara Rao, Padmanabhuni Venkata Kaladhar, Dowluru SVGK Devi, Tatavarthi Uma Kumar, Sali Veeresh Adv Bioinformatics Research Article Background. HNF-1a is a transcription factor that regulates glucose metabolism by expression in various tissues. Aim. To dock potential ligands of HNF-1a using docking software in silico. Methods. We performed in silico studies using HNF-1a protein 2GYP·pdb and the following softwares: ISIS/Draw 2.5SP4, ARGUSLAB 4.0.1, and HEX5.1. Observations. The docking distances (in angstrom units: 1 angstrom unit (Å) = 0.1 nanometer or 1 × 10(−10) metres) with ligands in decreasing order are as follows: resveratrol (3.8 Å), aspirin (4.5 Å), stearic acid (4.9 Å), retinol (6.0 Å), nitrazepam (6.8 Å), ibuprofen (7.9 Å), azulfidine (9.0 Å), simvastatin (9.0 Å), elaidic acid (10.1 Å), and oleic acid (11.6 Å). Conclusion. HNF-1a domain interacted most closely with resveratrol and aspirin Hindawi Publishing Corporation 2012 2012-12-19 /pmc/articles/PMC3535823/ /pubmed/23316227 http://dx.doi.org/10.1155/2012/705435 Text en Copyright © 2012 Gumpeny Ramachandra Sridhar et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sridhar, Gumpeny Ramachandra Nageswara Rao, Padmanabhuni Venkata Kaladhar, Dowluru SVGK Devi, Tatavarthi Uma Kumar, Sali Veeresh In Silico Docking of HNF-1a Receptor Ligands |
title |
In Silico Docking of HNF-1a Receptor Ligands |
title_full |
In Silico Docking of HNF-1a Receptor Ligands |
title_fullStr |
In Silico Docking of HNF-1a Receptor Ligands |
title_full_unstemmed |
In Silico Docking of HNF-1a Receptor Ligands |
title_short |
In Silico Docking of HNF-1a Receptor Ligands |
title_sort | in silico docking of hnf-1a receptor ligands |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3535823/ https://www.ncbi.nlm.nih.gov/pubmed/23316227 http://dx.doi.org/10.1155/2012/705435 |
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