Computational Approach to Study Probiotics
Advisor Information
Dhundy Bastola
Location
MBSC Gallery Room 308 - G
Presentation Type
Oral Presentation
Start Date
4-3-2022 12:30 PM
End Date
4-3-2022 1:45 PM
Abstract
Methods to select candidate probiotic strains with specific functions is an important problem of the probiotic industry, which has caught the attention of many researchers. Many of the recent projects studying probiotic functions have conducted experiments in laboratories where expertise in molecular biology and biotechnology is available. However, only handful of them further aggregated these probiotics based on their metabolic abilities/functions. The process of functional characterization of probiotics is currently limiting but is necessary to provide help to consumers. Access to such knowledge will help user recognize what bacteria to choose for certain purposes. Therefore, in this study, computational pipeline was developed to group 159 known probiotics based on their functional abilities defined by associated enzymes and biochemical pathways. Results showed four major groups of bacteria. Finally, a user-friendly interface using Shiny® called ProGut was built, based on probiotic metabolic abilities and grouping results.
Scheduling Link
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Computational Approach to Study Probiotics
MBSC Gallery Room 308 - G
Methods to select candidate probiotic strains with specific functions is an important problem of the probiotic industry, which has caught the attention of many researchers. Many of the recent projects studying probiotic functions have conducted experiments in laboratories where expertise in molecular biology and biotechnology is available. However, only handful of them further aggregated these probiotics based on their metabolic abilities/functions. The process of functional characterization of probiotics is currently limiting but is necessary to provide help to consumers. Access to such knowledge will help user recognize what bacteria to choose for certain purposes. Therefore, in this study, computational pipeline was developed to group 159 known probiotics based on their functional abilities defined by associated enzymes and biochemical pathways. Results showed four major groups of bacteria. Finally, a user-friendly interface using Shiny® called ProGut was built, based on probiotic metabolic abilities and grouping results.