Cheewin Kittikunapong

Mr. Cheewin Kittikunapong

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 May 2021 in Metabolites
Verified
Journal Article
Open access
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CKCheewin Kittikunapong
Cheewin Kittikunapong
SYSuhui Ye
Suhui Ye
PMPatricia Magadán-Corpas
Patricia Magadán-Corpas
ÁVÁlvaro Pérez Valero
Álvaro Pérez Valero
CVClaudio J. Villar
Claudio J. Villar
EKEduard Kerkhoven
Eduard Kerkhoven
Streptomyces albus J1074 is recognized as an effective host for heterologous production of natural products. Its fast growth and efficient genetic toolbox due to a naturally minimized genome have contributed towards its advantage in expressing biosynthetic pathways for a diverse repertoire of products such as antibiotics and flavonoids. In order to develop precise model-driven engineering strategies for de novo production of natural products, a genome-scale metabolic model (GEM) was reconstructed for the microorganism based on protein homology to model species Streptomyces coelicolor while drawing annotated data from databases and literature for further curation. To demonstrate its capabilities, the Salb-GEM was used to predict overexpression targets for desirable compounds using flux scanning with enforced objective function (FSEOF). Salb-GEM was also utilized to investigate the effect of a minimized genome on metabolic gene essentialities in comparison to another Streptomyces species, S. coelicolor.

23 March 2023 in bioRxiv
Verified
Preprint
Open access
PDF file
MAMihail Anton
Mihail Anton
EAEivind Almaas
Eivind Almaas
RBRui Benfeitas
Rui Benfeitas
SBSara Benito-Vaquerizo
Sara Benito-Vaquerizo
Lars M. BlankLars M. Blank
Lars M. Blank
EKEduard Kerkhoven
Eduard Kerkhoven
The field of metabolic modelling at the genomescale continues to grow with more models being created and curated. This comes with an increasing demand for adopting common principles regarding transparency and versioning, in addition to standardisation efforts regarding file formats, annotation and testing. Here, we present a standardised template for git-based and GitHub-hosted genome-scale metabolic models (GEMs) supporting both new models and curated ones, following FAIR principles (findability, accessibility, interoperability, and reusability), and incorporating bestpractices. standard-GEM facilitates the reuse of GEMs across web services and platforms in the metabolic modelling field and enables automatic validation of GEMs. The use of this template for new models, and its adoption for existing ones, paves the way for increasing model quality, openness, and accessibility with minimal effort. Availability: standard-GEM is available from github.com/MetabolicAtlas/standard-GEM under the conditions of the CC BY 4.0 licence along with additional supporting material.