Advances in genome-scale metabolic models of industrially important fungi

Y Han, AT Rangel, KR Pomraning… - Current Opinion in …, 2023 - Elsevier
Highlights•Genome-scale models are available for many industrially important
fungi.•Enzyme-constrained genome-scale models improve simulation …

Machine learning for the advancement of genome-scale metabolic modeling

P Kundu, S Beura, S Mondal, AK Das, A Ghosh - Biotechnology Advances, 2024 - Elsevier
Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …

Elucidation of triacylglycerol catabolism in Yarrowia lipolytica: How cells balance acetyl-CoA and excess reducing equivalents

AM Worland, Z Han, J Maruwan, Y Wang, ZY Du… - Metabolic …, 2024 - Elsevier
Yarrowia lipolytica is an industrial yeast that can convert waste oil to value-added products.
However, it is unclear how this yeast metabolizes lipid feedstocks, specifically triacylglycerol …

[HTML][HTML] State-of the-art constraint-based modeling of microbial metabolism: from basics to context-specific models with a focus on methanotrophs

MA Kulyashov, SK Kolmykov, TM Khlebodarova… - Microorganisms, 2023 - mdpi.com
Methanotrophy is the ability of an organism to capture and utilize the greenhouse gas,
methane, as a source of energy-rich carbon. Over the years, significant progress has been …

[HTML][HTML] OptEnvelope: A target point guided method for growth-coupled production using knockouts

E Motamedian, K Berzins, R Muiznieks, E Stalidzans - Plos one, 2023 - journals.plos.org
Finding the best knockout strategy for coupling biomass growth and production of a target
metabolite using a mathematic model of metabolism is a challenge in biotechnology. In this …

Reconstructor: a COBRApy compatible tool for automated genome-scale metabolic network reconstruction with parsimonious flux-based gap-filling

ML Jenior, EM Glass, JA Papin - Bioinformatics, 2023 - academic.oup.com
Motivation Genome-scale metabolic network reconstructions (GENREs) are valuable for
understanding cellular metabolism in silico. Several tools exist for automatic GENRE …

[HTML][HTML] Computational analysis into the potential of azo dyes as a feedstock for actinorhodin biosynthesis in Pseudomonas putida

P Nayyara, D Permana, RA Ermawar, R Fahayana - Plos one, 2024 - journals.plos.org
Fermentation-based biosynthesis in synthetic biology relies heavily on sugar-derived
feedstocks, a limited and carbon-intensive commodity. Unconventional feedstocks from less …

[HTML][HTML] Enzyme-constrained metabolic model and in silico metabolic engineering of Clostridium ljungdahlii for the development of sustainable production processes

A Caivano, W van Winden, G Dragone… - Computational and …, 2023 - Elsevier
Constraint-based genome-scale models (GEMs) of microorganisms provide a powerful tool
for predicting and analyzing microbial phenotypes as well as for understanding how these …

Cell factory design with advanced metabolic modelling empowered by artificial intelligence

H Lu, L Xiao, W Liao, X Yan, J Nielsen - Metabolic Engineering, 2024 - Elsevier
Advances in synthetic biology and artificial intelligence (AI) have provided new opportunities
for modern biotechnology. High-performance cell factories, the backbone of industrial …

Optimizing VLP production in gene therapy: Opportunities and challenges for in silico modeling

L Zehetner, D Széliová, B Kraus… - Biotechnology …, 2023 - Wiley Online Library
Over the past decades, virus‐like particle (VLP)‐based gene therapy (GT) evolved as a
promising approach to cure inherited diseases or cancer. Tremendous costs due to …