PREDICTION OF DOWNSTREAM INTERACTION OF TRANSCRIPTION FACTORS WITH MAPK3 IN ARABIDOPSIS THALIANA USING PROTEIN SEQUENCE INFORMATION

Protein-Protein interactions (PPIs) are vital to most biological processes thus the identification of PPIs isof primary importance. In the present work, we endeavor to identify the downstream interaction partners ofMitogen Activated Protein Kinase3 (MAPK3) in Arabidopsis Thaliana using the information of protein sequencesthrough Support Vector Machine (SVM) approach. The approach here used is supervised learning based onphysiochemical properties of protein sequences through which we predict whether the MAPK3 proteins interactwith downstream transcription factor proteins viz., Myb, bZIP, WRKY, Myb-related proteins, AP2/EREBP, andNAC with which its interaction is almost unknown. The Myb-related transcription factor family is showing maximuminteraction percentage i.e. 71.14% with MAPK3 while minimum interaction percentage is 21.15% which is shownby NAC transcription factor family. The interaction percentage shown by the gene loci of rest transcription factorfamily i.e. Myb, bZIP, AP2/EREBP, WRKY are 67.78%, 68.05%, 21.91% and 58.33% respectively. The results ofour study clearly revealed the complexity of MAPK3 interaction with several variants of different transcriptionfactors and the same can be verified by different methodology of wet lab experimentation for elucidating the role invarious biological processes