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Title

Prediction of the three-dimensional structure of serine/threonine protein kinase pto of Solanum lycopersicum by homology modelling

 

Authors

Salam Pradeep Singh1*, Sarangthem Vivek2, Rajib Lochan Bezbaruah1, Madhumita Barooah2

 

Affiliation

1Bioinformatics Infrastructure Facility, Biotechnology Division, North-East Institute of Science & Technology (CSIR), Jorhat- 785006, Assam; 2Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat, Assam.

 

Email

salampradeep@gmail.com; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received January 03, 2012; Accepted January 07, 2012; Published March 17, 2012

 

Abstract

The resistant gene Pto of Solanum lycopersicum interacts with the avr Pto gene product of the bacterial pathogen Pseudomonas syringae pv tomato to launch a cascade of molecular events that triggers the hypersensitive disease-resistance response in tamato. The paper describes attempts to predict the structure of Pto encoding a serine/threonine protein kinase to understand the mechanism and function. A three-dimensional model based on the crystal structure of effect protein Avr ptob complexed with Kinase Pto and bacterial effector protein Avrpto was generated using Modeller9v7. We adopted different modelling approaches for our study, Intialy, we generated a model based on a single template protein and then a model based on multiple templates. The models generated through these approaches were further assessed with ANOLEA energy assessment, Ram Page server and PROCHECK for stereochemistry and geometry check. Comparative analysis suggested that the model generated was better than the templates. This study paves the way for generating computer molecular models for proteins whose crystal structures are not available and which would aid in studying protein-protein interactions.

 

Keywords

Pto, Modeller9v7, ANOLEA

 

Citation

Singh et al. Bioinformation 8(5): 212-215 (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.