title: Genome-scale metabolic models as platforms for strain design and biological discovery.
abstract: Genome-scale metabolic models (GEMs) have been developed and used in guiding systems' metabolic engineering strategies for strain design and development. This strategy has been used in fermentative production of bio-based industrial chemicals and fuels from alternative carbon sources. However, computer-aided hypotheses building using established algorithms and software platforms for biological discovery can be integrated into the pipeline for strain design strategy to create superior strains of microorganisms for targeted biosynthetic goals. Here, I described an integrated workflow strategy using GEMs for strain design and biological discovery. Specific case studies of strain design and biological discovery using Escherichia coli genome-scale model are presented and discussed. The integrated workflow presented herein, when applied carefully would help guide future design strategies for high-performance microbial strains that have existing and forthcoming genome-scale metabolic models.
authors.affiliation: a Faculty of Biosciences and Medical Engineering, Department of Biosciences and Health Sciences , Bioinformatics Research Group (BIRG), Universiti Teknologi Malaysia , Johor Bahru , Skudai 81310 , Malaysia.
authors.forename: Bashir Sajo
authors.initials: BS
authors.lastname: Mienda
mesh_terms: D002244:Carbon / Q000737:chemistry / Q000378:metabolism; D004926:Escherichia coli / Q000235:genetics* / Q000378:metabolism; D005285:Fermentation; D016680:Genome, Bacterial / Q000235:genetics*; D060847:Metabolic Engineering; D012984:Software; D049490:Systems Biology
chemical_list: D002244:Carbon
keywords: biological discovery; genome-scale metabolic models; integrated workflow; strain design; superior strains