Genome-scale metabolic model-guided systematic framework for designing customized live biotherapeutic products
Yi Qing Lee, Yoon-Mi Choi, Seo‐Young Park, Su-Kyung Kim, Minouk Lee, Dongseok Kim, Lokanand Koduru, Meiyappan Lakshmanan, Sangyong Jung, Mi-Jin Kim, Yon Ho Choe, Dong‐Yup Lee
Abstract
For the successful development of live biotherapeutic products (LBPs), which are promising microbiome-based therapeutics, it is required to rigorously evaluate their quality, safety, and efficacy. To this end, we present a model-guided framework where genome-scale metabolic models (GEMs) can be exploited for characterizing LBP candidate strains and their metabolic interactions with adjacent microbiome and host cells at a systems level. In this perspective, we outline a GEM-based strategy for screening, assessment, and design of personalized multi-strain LBPs.
Topics & Concepts
Computational biologyScale (ratio)GenomeComputer scienceBiologyGeneticsGeographyGeneCartographyMicrobial Metabolic Engineering and BioproductionViral Infectious Diseases and Gene Expression in InsectsBiofuel production and bioconversion