Format

Send to

Choose Destination
Curr Opin Biotechnol. 2015 Dec;36:57-64. doi: 10.1016/j.copbio.2015.08.011. Epub 2015 Aug 28.

Improving prediction fidelity of cellular metabolism with kinetic descriptions.

Author information

1
Department of Chemical Engineering, The Pennsylvania State University, University Park, PA 16802, United States.
2
Department of Chemical Engineering, The Pennsylvania State University, University Park, PA 16802, United States. Electronic address: costas@psu.edu.

Abstract

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.

PMID:
26318076
DOI:
10.1016/j.copbio.2015.08.011
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center