Acta Scientific Computer Sciences

Review Article Volume 3 Issue 1

Kinetic Models with Default Enzyme Kinetics from Genome-scale Models

Nabil Amir-Hamzah, Zhi Jue Kuan and Maurice HT Ling*

School of Applied Science, Temasek Polytechnic, Singapore

*Corresponding Author: Maurice HT Ling, School of Applied Science, Temasek Polytechnic, Singapore.

Received: December 09, 2021; Published: December 29, 2021


Many genome-scale models of metabolism [GSMs] have been constructed to study the effects of changing native gene expression on its metabolism. Kinetic models of metabolism [KMs] can be a useful tool to study the effects of transgenes and regulations on the time-course metabolic profile of the host. However, the availability of KMs is substantially lesser with smaller scope than GSMs. A possibility is to generate KMs from GSMs but such tool is not available. Here, we present a converter to convert substrate-product pairs in GSM rate laws to enzyme kinetic equations in KM using default enzyme kinetics. Our testing results suggests that simulatable KMs can be successfully generated from GSMs to generate time-course metabolic profiles.

Keywords: Genome-scale Metabolic Models; Kinetic Models; Automated Model Conversion


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Citation: Maurice HT Ling., et al. “Kinetic Models with Default Enzyme Kinetics from Genome-scale Models". Acta Scientific Computer Sciences 3.1 (2022): 59-63.


Copyright: © 2022 Maurice HT Ling., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Acceptance rate35%
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