Socially Intelligent Computing in Action: A Community-Driven Platform for Host-Pathogen Interactions
Infectious diseases in humans, animals and plants claim millions of lives and have an economic impact of billions dollars every year. A pathogen causing an infectious disease generally exhibits extensive interactions with its host at the molecular level. Unfortunately, the data on host-pathogen interactions are scattered, often organized by a specific pathogen or disease. With the help a Mizzou Advantage seed grant, computation biologist Dmitry Korkin is employing the state-of-art bioinformatics and human-computer interaction methods to integrate the automated literature mining with the community-driven data gathering and annotation into a centralized platform for host-pathogen interaction data. The goal of this seed proposal is to further expand the project to an NIH R01 grant.
Korkin’s research into host-pathogen interaction has been published in several journals, including:
- Bioinformatics, 2012: Literature Mining of Host-Pathogen Interactions: Comparing Feature-based Supervised Learning and Language-based Approaches
- Nature, 2012: A soybean cyst nematode resistance gene points to a new mechanism of plant resistance to pathogens (S Liu, PK Kandoth, SD Warren, G Yeckel, R Heinz, J Alden, C Yang, A Jamai.)
One Health/One Medicine