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Title: A framework for the identification of promising bio-based chemicals

Abstract

Recent progress in metabolic engineering and synthetic biology enables the use of microorganisms for the production of chemicals (“bio-based chemicals”). Yet, it is still unclear which chemicals have the highest economic prospect. Because of this, we develop a framework for the identification of such promising ones. Specifically, we first develop a genome-scale constraintbased metabolic modeling approach, which is used to identify a candidate pool of 209 chemicals (together with the estimated yield, productivity and residence time for each) from the intersection of the High-Production-Volume (HPV) chemicals and the KEGG and MetaCyc databases. Second, we design three screening criteria based on a chemical’s profit margin, market volume and market size. The total process cost, including the downstream separation cost, is systematically incorporated into the evaluation. Third, given the three aforementioned criteria, we identify 32 products as economically promising if the maximum yields can be achieved, and 22 products if the maximum productivities can be achieved. The breakeven titer that renders zero profit margin for each product is also presented. Comparisons between extracellular and intracellular production, as well as E. coli and S. cerevisiae systems are also discussed. The proposed framework provides important guidance for future studies in the production of bio-basedmore » chemicals. It is also flexible in that the databases, yield estimations, and criteria can be modified to customize the screening.« less

Authors:
ORCiD logo [1];  [1];  [1];  [1]; ORCiD logo [1]
  1. Univ. of Wisconsin, Madison, WI (United States)
Publication Date:
Research Org.:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1506073
Grant/Contract Number:  
SC0018409; FC02–07ER64494
Resource Type:
Accepted Manuscript
Journal Name:
Biotechnology and Bioengineering
Additional Journal Information:
Journal Volume: 115; Journal Issue: 9; Journal ID: ISSN 0006-3592
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 59 BASIC BIOLOGICAL SCIENCES; bio‐based chemicals; value‐added chemicals; HPV chemicals; bio‐conversion; flux balance analysis; biorefinery

Citation Formats

Wu, Wenzhao, Long, Matthew R., Zhang, Xiaolin, Reed, Jennifer L., and Maravelias, Christos T. A framework for the identification of promising bio-based chemicals. United States: N. p., 2018. Web. doi:10.1002/bit.26779.
Wu, Wenzhao, Long, Matthew R., Zhang, Xiaolin, Reed, Jennifer L., & Maravelias, Christos T. A framework for the identification of promising bio-based chemicals. United States. doi:10.1002/bit.26779.
Wu, Wenzhao, Long, Matthew R., Zhang, Xiaolin, Reed, Jennifer L., and Maravelias, Christos T. Mon . "A framework for the identification of promising bio-based chemicals". United States. doi:10.1002/bit.26779. https://www.osti.gov/servlets/purl/1506073.
@article{osti_1506073,
title = {A framework for the identification of promising bio-based chemicals},
author = {Wu, Wenzhao and Long, Matthew R. and Zhang, Xiaolin and Reed, Jennifer L. and Maravelias, Christos T.},
abstractNote = {Recent progress in metabolic engineering and synthetic biology enables the use of microorganisms for the production of chemicals (“bio-based chemicals”). Yet, it is still unclear which chemicals have the highest economic prospect. Because of this, we develop a framework for the identification of such promising ones. Specifically, we first develop a genome-scale constraintbased metabolic modeling approach, which is used to identify a candidate pool of 209 chemicals (together with the estimated yield, productivity and residence time for each) from the intersection of the High-Production-Volume (HPV) chemicals and the KEGG and MetaCyc databases. Second, we design three screening criteria based on a chemical’s profit margin, market volume and market size. The total process cost, including the downstream separation cost, is systematically incorporated into the evaluation. Third, given the three aforementioned criteria, we identify 32 products as economically promising if the maximum yields can be achieved, and 22 products if the maximum productivities can be achieved. The breakeven titer that renders zero profit margin for each product is also presented. Comparisons between extracellular and intracellular production, as well as E. coli and S. cerevisiae systems are also discussed. The proposed framework provides important guidance for future studies in the production of bio-based chemicals. It is also flexible in that the databases, yield estimations, and criteria can be modified to customize the screening.},
doi = {10.1002/bit.26779},
journal = {Biotechnology and Bioengineering},
number = 9,
volume = 115,
place = {United States},
year = {2018},
month = {6}
}

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