BACK TO CONTENTS   |    PDF   |    PREVIOUS   |    NEXT

Title

Computational Analysis of N-acetyl transferase in Tribolium castaneum

 

Authors

Kailash Singh1*, Vineet Kumar Mishra1, Karabi Nath2, Naira Rashid1 & Farzana Parveen1

 

Affiliation

1Department of Biotechnology, Faculty of Science, Jamia Hamdard, New Delhi, India; 2Department of Pharmacy, Faculty of Basic Medical and Pharmaceutical Science, University of Science and Technology Chittagong (USTC), Bangladesh

 

Email

kailash.dna@gmail.com; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received July 22, 2013; Accepted July 23, 2013; Published August 07, 2013

 

Abstract

N-acetyl transferase (NAT) is responsible to catalyze the transfer of acetyl groups to arylamines from acetyl-CoA. Aralkylamine N-acetyl transferase (AANAT), which belongs to GCN5-related N-acetyl transferase member, is a globular 23-kDa cytosolic protein that forms a reversible regulatory complex with 14-3-3 proteins, AANAT regulates the daily cycle of melatonin biosynthesis in mammals, making it an attractive target for therapeutic control of abnormal melatonin production in mood and sleep disorders. There is no evidence available regarding α and β subunits, active site and their ASA value in Dopamine N-acetyl transferase. Therefore, we describe the development of Dopamine N-acetyl transferase model in Tribolium castaneum. We further document the predicted active sites in the structural model with solvent exposed ASA residues. During this study, the model was built by CPH program and validated through PROCHECK, Verify 3D, ERRAT and ProSA for reliability. The active sites were predicted in the model with further ASA analysis of active site residues. The discussed information thus provides insight to the predicted active site and ASA values of Dopamine N-acetyl transferase model in Tribolium castaneum. 

 

Keywords

Protein selection and validation, Active site and ASA analysis.

 

Citation

Singh et al. Bioinformation 9(14): 715-717 (2013)

 

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.