Metabolomics-constrained Modeling
Metabolomics-Constrained Modeling is a genome-scale metabolic modeling approach that integrates experimentally measured metabolite abundance data to conditionally restrict metabolic flux predictions, thereby distinguishing itself from other constraint-based methods by explicitly incorporating metabolomics data as physiological boundaries.
11
Publications
549
Citations
76
Authors
36
Institutions
Publications per year
2017–2026
6
11
Douglas McCloskey, Jon A. Gangoiti, Zachary A. King et al. · Biotechnology and Bioengineering · 2013 · 59 citations
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University of San Diego
San Diego, United States
2 h-index
6 publications
348 citations
University of California San Diego
San Diego, United States
2 h-index
10 publications
584 citations
ETH Zurich
Zurich, Switzerland
2 h-index
11 publications
992 citations
La Jolla Bioengineering Institute
San Diego, United States
2 h-index
7 publications
407 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
2 publications
50 citations
Universität Greifswald
Greifswald, Germany
1 h-index
1 publications
41 citations

Innsbruck Medical University
Innsbruck, Austria
1 h-index
4 publications
164 citations
National Centre for Cell Science
Pune, India
1 h-index
5 publications
235 citations
1–8 of 36
2 publications · 195 citations
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1 publications · 57 citations
1
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1 publications · 37 citations
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Book series · 1 publications · 59 citations
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1 publications · 25 citations
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