In silico prediction method for plant Nucleotide-binding leucine-rich repeat- and pathogen effector interactions.

ABSTRACT: Plant Nucleotide-binding leucine-rich repeat (NLR) proteins play a crucial role in effector recognition and activation of Effector triggered immunity following pathogen infection. Genome sequencing advancements have led to the identification of a myriad of NLRs in numerous agriculturally important plant species. However, deciphering which NLRs recognize specific pathogen effectors remains challenging. Predicting NLR-effector interactions in silico will provide a more targeted approach for experimental validation, critical for elucidating function, and advancing our understanding of NLR-triggered immunity. In this study, NLR-effector protein complex structures were predicted using AlphaFold2-Multimer for all experimentally validated NLR-effector interactions reported in literature. Binding

SUBMITTER: Fick A 

PROVIDER: S-EPMC12042882 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature