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Title

Homology modeling, docking studies and functional analysis of various azoreductase accessory interacting proteins of Nostoc sp.PCC7120

 

Authors

Priyadarshini Devi Philem & Samrat Adhikari*

 

Affiliation

Bioinformatics Infrastructure Facility, Department of Biotechnology, St Edmundís College, Shillong- 793003, Meghalaya, India.

 

Email

stedmundc.btisnet@nic.in; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received March 28, 2012; Accepted April 04, 2012; Published April 13, 2012

 

Abstract

Azo dyes have become a threat to public health because of its toxicity and carcinogenicity. Azoreductase enzyme plays a pivotal role in the degradation of azodyes released by industrial effluents and other resources. The degradation pathway has to be studied in detail for increasing the activity of azoreductase and for better degradation of azo dyes. But the data available on cyanobacterial azoreductase enzyme and its degradation pathway are still very less. Therefore the present work explored the azoreductase pathway of the cyanobacterium Nostoc sp. PCC7120 for better understanding of the degradation pathway and the other accessory interacting proteins involved. The accessory interacting proteins of azoreductase from cyanobacterium Nostoc sp. PCC7120 were obtained from STRING database. The proteins do not have a comprehensive three dimensional structure and are hypothetical. The secondary structure and functional analysis indicated that the proteins are all soluble proteins, without disulphide bonds and have alpha helices only. The structural prediction and docking study showed that alr2106, alr1063 and alr2326 have best docking result which tally with the STRING database confidence score and thus these proteins could possibly enhance the azoreductase activity and better dye degradation. These results will pave way for further increase in azoreductase activity and for better understanding of the dye degradation pathway.

 

Keywords

Nostoc sp.PCC7120 , azoreductase accessory proteins, molecular modeling tools, docking, cyanobacterium.

 

Citation

Philem & Adhikari, Bioinformation 8(7): 296-300 (2012)
 

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.