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Updated: Jul 10, 2026

Precise, High-throughput Analysis of Bacterial Growth
Published on: September 19, 2017
Quantitative Coarse-Grained Modeling of Microbial Metabolism: Uncovering Growth Laws, Environmental Responses, and
Yi-Hui Lai1,2, Ting Lu3,4,5,6,7,8
1DOE Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois Urbana-Champaign, Urbana, IL, USA.
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Microbial cell metabolism is highly complex, involving a vast number of molecular species and multi-level regulatory processes. To address this complexity and decode cellular behavior, coarse-grained modeling provides a powerful quantitative framework by grouping similar biological entities while preserving essential network properties. This approach offers insights into intracellular regulation and resource allocation, enables systematic analysis of natural biological systems, and generates predictions for synthetic engineering outcomes. In this chapter, we present a comprehensive overview of coarse-grained modeling, from model construction to applications, and demonstrate its utility in uncovering microbial metabolic behavior.
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