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Title

 

 

 

 

Sequence analysis and homology modeling of laccase from Pycnoporus cinnabarinus

Authors

Rohan J Meshram*, A J Gavhane, R B Gaikar, T S Bansode, A U Maskar, A K Gupta, S K Sohni, M A Patidar, T R Pandey, S N Jangle

 

Affiliation

Center for Biotechnology, Pravara Institute of Medical Sciences, Loni, Taluka: Rahata, District: Ahmednagar, Maharashtra, India

Email

rohan_meshram@rediffmail.com *Corresponding Author

Phone

+919822725648

Article Type

Hypothesis

Date

Received July 26, 2010; Accepted August 26, 2010; Published September 20, 2010

 

Abstract

Industrial effluents of textile, paper, and leather industries contain various toxic dyes as one of the waste material. It imparts major impact on human health as well as environment. The white rot fungus Pycnoporus cinnabarinus Laccase is generally used to degrade these toxic dyes. In order to decipher the mechanism of process by which Laccase degrade dyes, it is essential to know its 3D structure. Homology modeling was performed in presented work, by satisfying Spatial restrains using Modeller Program, which is considered as standard in this field, to generate 3D structure of Laccase in unison, SWISS-MODEL web server was also utilized to generate and verify the alternative models. We observed that models created using Modeller stands better on structure evaluation tests. This study can further be used in molecular docking techniques, to understand the interaction of enzyme with its mediators like 2, 2-azinobis (3-ethylbenzthiazoline-6-sulfonate) (ABTS) and Vanillin that are known to enhance the Laccase activity.

 

Keywords

 

Homology modeling, Spatial restraints, Modeller, Laccase, QMEAN, Ml methods, Beale restart conjugate gradients method, Leap-frog verlet integrator.

Citation

Meshram et al. Bioinformation 5(4): 150-154(2010)

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.