Computational models for prediction of protein-protein interaction in rice and Magnaporthe grisea.

ABSTRACT:

Introduction

Plant-microbe interactions play a vital role in the development of strategies to manage pathogen-induced destructive diseases that cause enormous crop losses every year. Rice blast is one of the severe diseases to rice Oryza sativa (O. sativa) due to Magnaporthe grisea (M. grisea) fungus. Protein-protein interaction (PPI) between rice and fungus plays a key role in causing rice blast disease.

Methods

In this paper, four genomic information-based models such as (i) the interolog, (ii) the domain, (iii) the gene ontology, and (iv) the phylogenetic-based model are developed for predicting the interaction between O. sativa and M. grisea in a whole-genome scale.

Results and discussion

A total of 59,430 interacting pair

SUBMITTER: Karan B 

PROVIDER: S-EPMC9929577 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature