International Journal of Agriculture, Environment and Biotechnology
  • Year: 2014
  • Volume: 7
  • Issue: 4

Molecular modeling and docking approach to predict the potential interacting partners of AtMAPK3P with the members of bZIP transcription factor family in Arabidopsis

Department of Molecular Biology and Genetic Engineering, College of Basic Sciences and Humanities, G. B. Pant University of Agriculture and Technology, Pantnagar-263145, Uttarakhand, India

*Corresponding author: priyankagiribiotech@gmail.com

Online published on 9 January, 2015.

Abstract

Protein-protein interaction plays key role in predicting the protein function of target protein thus the identification of PPIs is of primary importance. The in vitro and in vivo methods have their own limitations, thus in silico methods which include structure-based approaches were developed. In this research work, we endeavor to identify the downstream interaction partners of (AtMAPK3P) in Arabidopsis thaliana using the docking approach. The results of our study revealed that out of 73 bZIP members of Arabidopsis thaliana 47 members are showing interaction with AtMAPK3P. Elucidation of protein interaction networks also contributes greatly to the analysis of signal transduction pathways. Recent developments along with the results obtained essentially enhance our knowledge of the MAPK interacting protein network and provide a valuable research resource for developing a nearly important link between pathogen-activated MAPK signaling pathways and downstream transcriptional programming.

Out of 73 bZIP members of Arabidopsis thaliana 47 members are showing interaction with AtMAPK3P.

Keywords

Protein -protein interactions (PPIs), transcription factor (TF), docking, MAPK, bZIP