期刊
CURRENT OPINION IN BIOTECHNOLOGY
卷 36, 期 -, 页码 57-64出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.copbio.2015.08.011
关键词
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资金
- DOE [DE-SC0008091, DE-SC0012377]
- NSF [EEC-0813570]
- U.S. Department of Energy (DOE) [DE-SC0012377, DE-SC0008091] Funding Source: U.S. Department of Energy (DOE)
Several modeling frameworks for describing and redirecting cellular metabolism have been developed keeping pace with the rapid development in high-throughput data generation and advances in metabolic engineering techniques. The incorporation of kinetic information within stoichiometry-only modeling techniques offers potential advantages for improved phenotype prediction and consequently more precise computational strain design. In addition to substrate-level kinetic regulatory information, the integration of a number of additional layers of regulation at the transcription, translation, and post-translation levels is sought after by many research groups. However, the practical integration of these complex biological processes into a unified framework amenable to design remains an ongoing challenge.
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