A vast number of microbial species colonize multicellular organisms making them “metaorganisms”. Accumulating data testifies to the impact of microbiota on human health and the role it plays in diverse diseases. Exactly how microbiota accomplish this outcome has been unclear. Host-microbiota protein-protein interactions can play a crucial role through molecular shape mimicry. Shape mimicry of host proteins by microbial proteins enables the microbial protein to compete with the host proteins in binding to key nodes in the host protein-protein interaction network. The resulting crosstalk between the host and the microbiota may help resolve puzzling questions such as how microbiota hijack cell signaling. Constructing the integrated protein-protein networks of distinct microbiota species with the human host and comparisons among the resulting networks can obtain useful information such as which key host nodes are targeted; are these nodes common among all species or are species- or disease-specific, and more. Integrated microbiota networks can also address question related to cross-talk among the microbiota. These data can help identify pathogenic mechanisms and identify drug targets. Obtaining such data experimentally is enormously challenging. The talk will delineate the problem, outline current algorithmic strategies, and describe our method, the first and to date only structural algorithm. It will also describe the server that we are developing toward this aim and our goals.

Modeling structural host-microbiota interaction networks

Macromolecular Chemistry: The Second Century

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ACS Spring 2020 National Meeting & Expo

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.