| Literature DB >> 27453919 |
Justin R Klesmith1, Timothy A Whitehead2.
Abstract
A central challenge in the field of metabolic engineering is the efficient identification of a metabolic pathway genotype that maximizes specific productivity over a robust range of process conditions. Here we review current methods for optimizing specific productivity of metabolic pathways in living cells. New tools for library generation, computational analysis of pathway sequence-flux space, and high-throughput screening and selection techniques are discussed.Entities:
Keywords: Computational Optimization; Deep Mutational Scanning; Metabolic Engineering; Protein Engineering; Synthetic Biology
Year: 2015 PMID: 27453919 PMCID: PMC4955671 DOI: 10.1142/S233954781640001X
Source DB: PubMed Journal: Technology (Singap World Sci)