Title |
In-silico study of arylalkylamine-n-acetyltransferase enzyme to regulate circadian rhythmicity
|
Authors |
Kumar Prashant, Himansu Kumar & Chekkara Venkata Satya Siva Prasad*
|
Affiliation |
Division of Applied Sciences and IRCB, Indian Institute of Information Technology, Allahabad-211012, India |
|
shiva@iiita.ac.in; *Corresponding author |
Article Type |
Hypothesis |
Date |
Received August 16, 2013; Accepted August 17, 2013; Published August 28, 2013
|
Abstract |
Circadian Rhythmicity is present in the sleeping and breeding patterns of animals, including human beings and also related with brain wave activity, hormone production, cell regeneration and other biological activities. Melatonin is thought to play important roles in regulating circadian rhytmicity of the animals. Arylalkylamine-N-acetyltransferase (AANAT) is an enzyme which is responsible for the melatonin metabolism. In this study AANAT enzyme is targeted for the control of sleeping sickness and other irregular circadian rhythmicity by regulating the melatonin formation. AANAT protein 3D-structure was modeled, followed by loop modeling, refinement through energy minimization processes by molecular dynamics simulation and validation. Analysis of the Ramachandran plot shows 90.9% amino acids falls in the allowed region. The modeled protein was docked with N-Acetyl Serotonin. Combinatorial library was generated by using N-Acetyl Serotonin as a reference molecule and molecules having 80% similarity to N-Acetyl Serotonin was selected from Zinc database. These molecules were virtually screened by MOLEGRO virtual docker and top 5 molecules were selected and docked by using AutoDock. The AutoDock result shows that the ZINC01587152 molecule is having best interactions with the receptor protein. On the basis of this study we can suggest that the ZINC01587152 molecule is the best ligand against AANAT enzyme. It may be further synthesized and tested for sleep related disorders.
|
Keywords |
Melatonin, AANAT, N-Acetyl Serotonin, Circadian Rhythmicity, Sleeping Sickness.
|
Citation |
Prashant et al.
Bioinformation 9(15): 771-776 (2013) |
Edited by |
P Kangueane
|
ISSN |
0973-2063
|
Publisher |
|
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. |