PredHPI: an integrated web server platform for the detection and visualization of host–pathogen interactions using sequence-based methods

• Published in: Bioinformatics 2021-05, Vol.37 (5), p.622-624
• Main Authors: Loaiza, Cristian D, Kaundal, Rakesh
• Format: Article
• Language: English
• Subjects: bioinformatics; disease control; genomics; Internet; pathogens; therapeutics
• ISSN: 1367-4803; 1367-4811; 1460-2059; 1367-4811
• DOI: 10.1093/bioinformatics/btaa862

Abstract Motivation Understanding the mechanisms underlying infectious diseases is fundamental to develop prevention strategies. Host–pathogen interactions (HPIs) are actively studied worldwide to find potential genomic targets for the development of novel drugs, vaccines and other therapeutics. Determining which proteins are involved in the interaction system behind an infectious process is the first step to develop an efficient disease control strategy. Very few computational methods have been implemented as web services to infer novel HPIs, and there is not a single framework which combines several of those approaches to produce and visualize a comprehensive analysis of HPIs. Results Here, we introduce PredHPI, a powerful framework that integrates both the detection and visualization of interaction networks in a single web service, facilitating the apprehension of model and non-model host–pathogen systems to aid the biologists in building hypotheses and designing appropriate experiments. PredHPI is built on high-performance computing resources on the backend capable of handling proteome-scale sequence data from both the host as well as pathogen. Data are displayed in an information-rich and interactive visualization, which can be further customized with user-defined layouts. We believe PredHPI will serve as an invaluable resource to diverse experimental biologists and will help advance the research in the understanding of complex infectious diseases. Availability and implementation PredHPI tool is freely available at http://bioinfo.usu.edu/PredHPI/. Supplementary information Sup plementary data are available at Bioinformatics online.