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Title

Molecular docking based screening of a simulated HIF-1 protein model for potential inhibitors

Authors

Mundla Sri Latha3, Madhu Sudhana Saddala1, 2*

 

Affiliation

1Centre for agricultural Bioinformatics, ICAR- IASRI (Indian Agricultural Statistics Research Institute), Library Avenue, Pusa, New Delhi – 110012, India;

2Johns Hopkins University, Wilmer’s Eye Institute, School of Medicine, Baltimore, Maryland;

3Department of Biotechnology, Sri Venkateswara University, Tirupati – 517502, A.P., India;

 

Email

madhubioinformatics@gmail.com;

 

Article Type

Hypothesis

 

Date

Received November 1, 2017; Revised November 3, 2017; Accepted November 4, 2017; Published November 30, 2017

 

Abstract

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.

 

Keywords

HIF-1, Homology modeling, docking, Zinc database, MD simulations, Chalcone

 

Citation

Latha & Saddala. Bioinformation 13(11) 388-393 (2017)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

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.