PlantPathoPPI

Plant-Pathogen Interaction Prediction Tool




Welcome to PlantPathoPPI!



Protein-protein interactions play a critical role in deciding whether a plant's encounter with a pathogen results in disease or not. Thus, an in-depth understanding of plant-pathogen interactions is required for the breeding of disease-resistant crops and the improvement of agricultural productivity. In view of this, PlantPathoPPI, a machine learning based classifier has been developed to facilitate the task of predicting protein-protein interaction (PPI) between plant and pathogen protein based on their amino acid sequence.

Click on “Start Prediction” or go to "Prediction" tab to start the prediction. Provide the protein sequence pairs of plant and pathogen in their respective input box and then click “Submit”. Result is provided in tabular format. Positive and negative interactions are represented as “1” and “0” respectively, in the “Prediction” column of the result. PlantPathoPPI also provides probability score of each prediction, i.e., the probability of interaction or no interaction. As obvious, the sum of these two probabilities will be equal to 1.







This website belongs to ICAR - Indian Agricultural Statistics Research Institute, New Delhi - 110012.