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Molecular docking based screening of a simulated HIF-1 protein model for potential inhibitors
Hypoxia inducible factor-1(HIF-1) is a bHLH-family transcription factor that control genes involved in glucolysis, angiogenesis, migration, as well as invasion factors that are important for tumor progression and metastasis. HIF-1, a hetero dimer of HIF-1α and HIF-1β, binds to the hypoxia responsive...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712784/ https://www.ncbi.nlm.nih.gov/pubmed/29225432 http://dx.doi.org/10.6026/97320630013388 |
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author | Latha, Mundla Sri Saddala, Madhu Sudhana |
author_facet | Latha, Mundla Sri Saddala, Madhu Sudhana |
author_sort | Latha, Mundla Sri |
collection | PubMed |
description | Hypoxia inducible factor-1(HIF-1) is a bHLH-family transcription factor that control genes involved in glucolysis, angiogenesis, migration, as well as invasion factors that are important for tumor progression and metastasis. HIF-1, a hetero dimer of HIF-1α and HIF-1β, binds to the hypoxia responsive genes, such as vascular endothelial growth factor (VEGF). It is one the molecular target for angiogenesis. A series of Chalcone - like compounds described that preferentially inhibit HIF-1 dimer, which can interact with amino acids within the active site of the protein. It is of interest model the HIF-1 dimer protein and protein was subjected to molecular dynamics simulations using NAMD 2.9 software with CHARMM27 force field in water and the protein structure was minimized with 25000 steps for 500 ps and simulation with 1000000 steps for 2ns. 2500 compounds were screened from Zinc database through structure based virtual screening with references to Chalcone natural drug compound. The screened compounds were docked into the active site of the protein using AutoDock Vina in PyRx Virtual screening tool. The docking result showed the compounds Zinc04280532, Zinc04280533, Zinc04280469, Zinc04280534, Zinc16405915, Zinc04277060, Zinc04280538, Zinc04582923, Zinc05280554 and Zinc05943723 have high binding affinities then query compound. The lead hit compounds were also testing for toxicity and bioavailability using Osiris and Molinspiration online server. The active site amino acids such as TYR-21, ASN-34, VAL-35, MET-18, LYS-17, SER-36, ARG- 46 and ARG-14 are key role in the inhibitors activity. This is useful in the design of small molecule therapeutics or the treatment of different abnormalities associated with impaired HIF-1α. |
format | Online Article Text |
id | pubmed-5712784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-57127842017-12-08 Molecular docking based screening of a simulated HIF-1 protein model for potential inhibitors Latha, Mundla Sri Saddala, Madhu Sudhana Bioinformation Hypothesis Hypoxia inducible factor-1(HIF-1) is a bHLH-family transcription factor that control genes involved in glucolysis, angiogenesis, migration, as well as invasion factors that are important for tumor progression and metastasis. HIF-1, a hetero dimer of HIF-1α and HIF-1β, binds to the hypoxia responsive genes, such as vascular endothelial growth factor (VEGF). It is one the molecular target for angiogenesis. A series of Chalcone - like compounds described that preferentially inhibit HIF-1 dimer, which can interact with amino acids within the active site of the protein. It is of interest model the HIF-1 dimer protein and protein was subjected to molecular dynamics simulations using NAMD 2.9 software with CHARMM27 force field in water and the protein structure was minimized with 25000 steps for 500 ps and simulation with 1000000 steps for 2ns. 2500 compounds were screened from Zinc database through structure based virtual screening with references to Chalcone natural drug compound. The screened compounds were docked into the active site of the protein using AutoDock Vina in PyRx Virtual screening tool. The docking result showed the compounds Zinc04280532, Zinc04280533, Zinc04280469, Zinc04280534, Zinc16405915, Zinc04277060, Zinc04280538, Zinc04582923, Zinc05280554 and Zinc05943723 have high binding affinities then query compound. The lead hit compounds were also testing for toxicity and bioavailability using Osiris and Molinspiration online server. The active site amino acids such as TYR-21, ASN-34, VAL-35, MET-18, LYS-17, SER-36, ARG- 46 and ARG-14 are key role in the inhibitors activity. This is useful in the design of small molecule therapeutics or the treatment of different abnormalities associated with impaired HIF-1α. Biomedical Informatics 2017-11-30 /pmc/articles/PMC5712784/ /pubmed/29225432 http://dx.doi.org/10.6026/97320630013388 Text en © 2017 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |
spellingShingle | Hypothesis Latha, Mundla Sri Saddala, Madhu Sudhana Molecular docking based screening of a simulated HIF-1 protein model for potential inhibitors |
title | Molecular docking based screening of a simulated HIF-1 protein model for potential inhibitors |
title_full | Molecular docking based screening of a simulated HIF-1 protein model for potential inhibitors |
title_fullStr | Molecular docking based screening of a simulated HIF-1 protein model for potential inhibitors |
title_full_unstemmed | Molecular docking based screening of a simulated HIF-1 protein model for potential inhibitors |
title_short | Molecular docking based screening of a simulated HIF-1 protein model for potential inhibitors |
title_sort | molecular docking based screening of a simulated hif-1 protein model for potential inhibitors |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712784/ https://www.ncbi.nlm.nih.gov/pubmed/29225432 http://dx.doi.org/10.6026/97320630013388 |
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