ArticleBioengineered
Designing novel cellulase systems through agent-based modeling and global sensitivity analysis.
Article in Bioengineered. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Screening, Gene Cloning and Expression of Cellulase-Producing Strain Bacillus subtilis Xh-16.Current microbiology · 2024Article
- Waste Valorization towards Industrial Products through Chemo- and Enzymatic- Hydrolysis.Bioengineered · 2023Review
- High-yield hydrogen production from biomass by in vitro metabolic engineering: Mixed sugars coutilization and kinetic modeling.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Agent-based spatiotemporal simulation of biomolecular systems within the open source MASON framework.BioMed research international · 2015Article
- A review of metabolic and enzymatic engineering strategies for designing and optimizing performance of microbial cell factories.Computational and structural biotechnology journal · 2014Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Experimental techniques allow engineering of biological systems to modify functionality; however, there still remains a need to develop tools to prioritize targets for modification. In this study, agent-based modeling (ABM) was used to build stochastic models of complexed and non-complexed cellulose hydrolysis, including enzymatic mechanisms for endoglucanase, exoglucanase, and β-glucosidase activity. Modeling results were consistent with experimental observations of higher efficiency in complexed systems than non-complexed systems and established relationships between specific cellulolytic mechanisms and overall efficiency. Global sensitivity analysis (GSA) of model results identified key parameters for improving overall cellulose hydrolysis efficiency including: (1) the cellulase half-life, (2) the exoglucanase activity, and (3) the cellulase composition. Overall, the following parameters were found to significantly influence cellulose consumption in a consolidated bioprocess (CBP): (1) the glucose uptake rate of the culture, (2) the bacterial cell concentration, and (3) the nature of the cellulase enzyme system (complexed or non-complexed). Broadly, these results demonstrate the utility of combining modeling and sensitivity analysis to identify key parameters and/or targets for experimental improvement.
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Registered trials
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