Class
Article
College
College of Engineering
Department
Computer Science Department
Presentation Type
Oral Presentation
Abstract
Background:
Burkholderia pseudomallei (Bp) is a critical biothreat agent, causes Melioidosis: a disease associated with high case-fatality rates in animals and humans; even with treatment, its mortaility is up to 50%. It also infects plants. Yet few effector proteins have been functionally characterized to date and little work has been carried out to understand the host-pathogen protein-protein interactions (PPI) which are important to develop efficient prevention measures. To address these issues, we deployed diverse in-silico methodologies to identify virulence factors and their interactions with host proteins to characterize bacterial infection mechanisms.
Location
Room 204
Start Date
4-11-2019 12:00 PM
End Date
4-11-2019 1:15 PM
Included in
Computational Prediction of Host-Pathogen Protein Interactions between Melioidosis Pathogen Burkholderia Pseudomallei and Human
Room 204
Background:
Burkholderia pseudomallei (Bp) is a critical biothreat agent, causes Melioidosis: a disease associated with high case-fatality rates in animals and humans; even with treatment, its mortaility is up to 50%. It also infects plants. Yet few effector proteins have been functionally characterized to date and little work has been carried out to understand the host-pathogen protein-protein interactions (PPI) which are important to develop efficient prevention measures. To address these issues, we deployed diverse in-silico methodologies to identify virulence factors and their interactions with host proteins to characterize bacterial infection mechanisms.