In Silico Docking of HNF-1a Receptor Ligands

Joint Authors

Devi, Tatavarthi Uma
Kaladhar, Dowluru SVGK
Sridhar, Gumpeny Ramachandra
Nageswara Rao, Padmanabhuni Venkata
Kumar, Sali Veeresh

Source

Advances in Bioinformatics

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-12-19

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Natural & Life Sciences (Multidisciplinary)
Biology

Abstract EN

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

American Psychological Association (APA)

Sridhar, Gumpeny Ramachandra& Nageswara Rao, Padmanabhuni Venkata& Kaladhar, Dowluru SVGK& Devi, Tatavarthi Uma& Kumar, Sali Veeresh. 2012. In Silico Docking of HNF-1a Receptor Ligands. Advances in Bioinformatics،Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-492020

Modern Language Association (MLA)

Sridhar, Gumpeny Ramachandra…[et al.]. In Silico Docking of HNF-1a Receptor Ligands. Advances in Bioinformatics No. 2012 (2012), pp.1-5.
https://search.emarefa.net/detail/BIM-492020

American Medical Association (AMA)

Sridhar, Gumpeny Ramachandra& Nageswara Rao, Padmanabhuni Venkata& Kaladhar, Dowluru SVGK& Devi, Tatavarthi Uma& Kumar, Sali Veeresh. In Silico Docking of HNF-1a Receptor Ligands. Advances in Bioinformatics. 2012. Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-492020

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-492020