Evidence map›Paper›PMID 28098205›Full record

ArticleScientific reports2017

Reliable and efficient solution of genome-scale models of Metabolism and macromolecular Expression.

Ding Ma, Laurence Yang, Ronan M T Fleming, Ines Thiele, Bernhard O Palsson, Michael A Saunders

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

  1. Article
  2. Predicting Strain-Specific Metabolic Capabilities in the GenusComputational and structural biotechnology journal · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Integration of proteomic data with genome-scale metabolic models: A methodological overview.Protein science : a publication of the Protein Society · 2024
    Review
  7. Review
  8. Article
  9. Multi-scale models of whole cells: progress and challenges.Frontiers in cell and developmental biology · 2023
    Review
  10. Article
  11. Article
  12. Kinetic profiling of metabolic specialists demonstrates stability and consistency of in vivo enzyme turnover numbers.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Article
  14. Cellular responses to reactive oxygen species are predicted from molecular mechanisms.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

6 authors.

Ding MaStanford University, Dept of Management Science and Engineering, Stanford, CA 94305, USA.
Laurence YangUniversity of California, San Diego, Dept of Bioengineering, La Jolla, CA 92093, USA.
Ronan M T FlemingUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, L-4365 Esch-sur-Alzette, Luxembourg.
Ines ThieleUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, L-4365 Esch-sur-Alzette, Luxembourg.
Bernhard O PalssonUniversity of California, San Diego, Dept of Bioengineering, La Jolla, CA 92093, USA.
Michael A SaundersStanford University, Dept of Management Science and Engineering, Stanford, CA 94305, USA.

Funding

Multiscale Molecular Systems Biology: Reconstruction and Model OptimizationU01GM102098 · NIGMS · STANFORD UNIVERSITY · PI SAUNDERS, MICHAEL ALAN · 2012 to 2016
$1.8M
NIGMS NIH HHS U01 GM102098
6 · The paper itself

Abstract

Constraint-Based Reconstruction and Analysis (COBRA) is currently the only methodology that permits integrated modeling of Metabolism and macromolecular Expression (ME) at genome-scale. Linear optimization computes steady-state flux solutions to ME models, but flux values are spread over many orders of magnitude. Data values also have greatly varying magnitudes. Standard double-precision solvers may return inaccurate solutions or report that no solution exists. Exact simplex solvers based on rational arithmetic require a near-optimal warm start to be practical on large problems (current ME models have 70,000 constraints and variables and will grow larger). We have developed a quadruple-precision version of our linear and nonlinear optimizer MINOS, and a solution procedure (DQQ) involving Double and Quad MINOS that achieves reliability and efficiency for ME models and other challenging problems tested here. DQQ will enable extensive use of large linear and nonlinear models in systems biology and other applications involving multiscale data.

Indexed as

Models, GeneticAlgorithmsGenomeSystems Biology

Identifiers

PMID28098205
PMCPMC5241643

What OpenQuestion holds

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Registered trials

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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.