PHI2WEB server is a community-driven platform for sharing and managing host-pathogen interaction (HPI) data extracted from the literature. The platform is built using the principles of socially intelligent computing and integrates an automatically generated database of interactions extracted from the HPI-relevant abstracts by our in-house HPI literature-mining algorithm, PHILM [1], and the mechanisms for efficient data sharing by the community. Currently, the database contains 21,533 HPIs between 157 host and 403 pathogen organisms from 10,901 abstracts. The HPI-relevant abstracts were obtained by running PHILM on 608,972 PubMed abstracts that includes mentioning at least on host and one pathogen organism. In addition, the community members are given an opportunity to update, insert new, or remove erroneous data on HPI in a Wikipedia-like format or by simply voting whether the HPI information is correct or wrong.

[1] Thieu T, Joshi S, Warren S, Korkin D. "Literature Mining of Host-Pathogen Interactions: Comparing Feature-based Supervised Learning and Language-based Approaches"; Bioinformatics, 2012 Mar 15; 28(6):867-75