Evidence map›Paper›PMID 34060912›Full record

ArticlemSystems2021

Genome-Scale Metabolic Model of

Ke Zhang, Weishu Zhao, Dmitry A Rodionov, Gabriel M Rubinstein, Diep N Nguyen, Tania N N Tanwee, James Crosby, Ryan G Bing, Robert M Kelly, Michael W W Adams and 1 more

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Mutualism between degraders and nondegraders stabilizes the function of a natural biopolymer-degrading community.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Metabolic engineering ofApplied and environmental microbiology · 2024
    Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Ke Zhang *Department of Cell and Molecular Biology, College of the Environment and Life Sciences, University of Rhode Island, Kingston, Rhode Island, USA.
Weishu Zhao *Department of Cell and Molecular Biology, College of the Environment and Life Sciences, University of Rhode Island, Kingston, Rhode Island, USA.
Dmitry A RodionovSanford-Burnham-Prebys Medical Discovery Institute, La Jolla, California, USA.
Gabriel M RubinsteinDepartment of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, USA.
Diep N NguyenDepartment of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, USA.
Tania N N TanweeDepartment of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, USA.
James CrosbyDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, USA.
Ryan G BingDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, USA.
Robert M KellyDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, USA.
Michael W W AdamsDepartment of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, USA.
Ying ZhangDepartment of Cell and Molecular Biology, College of the Environment and Life Sciences, University of Rhode Island, Kingston, Rhode Island, USA.
University of Georgia · USNorth Carolina State University · USUniversity of Rhode Island · USSanford Burnham Prebys Medical Discovery Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic modeling was used to examine potential bottlenecks that could be encountered for metabolic engineering of the cellulolytic extreme thermophile Caldicellulosiruptor bescii to produce bio-based chemicals from plant biomass. The model utilizes subsystems-based genome annotation, targeted reconstruction of carbohydrate utilization pathways, and biochemical and physiological experimental validations. Specifically, carbohydrate transport and utilization pathways involving 160 genes and their corresponding functions were incorporated, representing the utilization of C5/C6 monosaccharides, disaccharides, and polysaccharides such as cellulose and xylan. To illustrate its utility, the model predicted that optimal production from biomass-based sugars of the model product, ethanol, was driven by ATP production, redox balancing, and proton translocation, mediated through the interplay of an ATP synthase, a membrane-bound hydrogenase, a bifurcating hydrogenase, and a bifurcating NAD- and NADP-dependent oxidoreductase. These mechanistic insights guided the design and optimization of new engineering strategies for product optimization, which were subsequently tested in the

Indexed as

bio-based chemical productionCaldicellulosiruptorcentral carbon metabolismmetabolic engineeringmetabolic modelingredox balance

Identifiers

PMID34060912
PMCPMC8269263
OpenAlexW3165185499

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.