Identification and analysis of host–pathogen interactions (HPI) is essential to study infectious diseases. However, HPI data are sparse in existing molecular interaction databases, especially for agricultural host–pathogen systems. Therefore, resources that annotate, predict and display the HPI that underpin infectious diseases are critical for developing novel intervention strategies.
Domiciles proteomic and genomic information on 150 HPV strains sequenced to date. Retreival of such vast information from different resources with a provision of prediction and validation of proteins structures would help researchers in designing the strain specific drugs/vaccines to prevail over the cancerous consequences.
A manually curated database of interactions between host-pathogen-related elements such as biomolecules (proteins, metabolites etc.) and other factors (biological processes, cellular components etc.). HoPaCI-DB is an analysis resource for the study of the pathogens Pseudomonas aeruginosa and Coxiella species. The majority of host species refers to mammalia, but also results from experiments with C. elegans, Drosophila melanogaster or Danio rerio are included. The aim of HoPaCI-DB is to serve as knowledge base for experimentally- oriented scientists and as resource for bioinformatics applications.
Plants are continuously subjected to infection by pathogens, including bacteria and viruses. This present work is probably the first comprehensive study of constructing pathways that comprises effector, microRNA, target genes and PPI for the study of pathogen-host interactions. It is expected that this study may help to elucidate the role of pathogen-host interplay in a plant's immune system.
Provides annotation for pathogen-host interaction (PHI)-related pathogen and host genes. Phigen gathers manually curated PHI gene information. Users can submit data for curation of pathogen genes, especially their roles in PHI. The curation focuses on adding PHI-related information, such as host immune responses, gene mutations and resultant pathogenic changes in the host. It can assist researchers in surveying, comparing, and studying gene-specific PHI mechanisms. Phigen is part of PHIDIAS.
Gathers network data (metabolic, regulatory, protein-protein interaction) for 10 representative pathogenic Salmonella strains. SalmoNet is an online database regrouping information on interactions from multiple layers of biological organization. This repository allows users to study pathogen Salmonella with details in a standardized and documented format. It can be applied by medical microbiologists and epidemiologists to understand the strain specific differences of Salmonella.
Gathers more than 260 pairs of mammalian virus-host receptor interaction. Viral Receptor organizes its collected data by viral species/sub-species and by virus receptors of 13 mammal species. This repository aims to underline the structural diversity of mammalian virus receptors. It intends to assist researchers to identify viral receptors via the study of structural, evolutionary and tissue-specific expression characteristics of mammalian virus receptors.
Catalogues experimentally verified pathogenicity, virulence and effector genes from fungal, Oomycete and bacterial pathogens, which infect animal, plant, fungal and insect hosts. PHI-base contains expertly curated molecular and biological information on genes proven to affect the outcome of pathogen-host interactions reported in peer reviewed research articles. It proposes improved search, filtering and extended data display functions. A PHIB-BLAST search function is provided and a link to PHI-Canto, a tool for authors to directly curate their own published data into PHI-base. PHI-base contains information from 2219 manually curated references. The data provide information on 4460 genes from 264 pathogens tested on 176 hosts in 8046 interactions.