Evidence map›Paper›PMID 27215445›Full record

ArticleGenome biology2016

Mapping the landscape of metabolic goals of a cell.

Qi Zhao, Arion I Stettner, Ed Reznik, Ioannis Ch Paschalidis, Daniel Segrè

Abstract read
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  14. A model for the interplay between plastic tradeoffs and evolution in changing environments.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Qi ZhaoDepartment of Electrical and Computer Engineering, and Division of Systems Engineering, Boston University, Boston, MA, 02215, USA.
Arion I StettnerDepartment of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.
Ed ReznikDepartment of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.
Ioannis Ch PaschalidisDepartment of Electrical and Computer Engineering, and Division of Systems Engineering, Boston University, Boston, MA, 02215, USA. yannisp@bu.edu.
Daniel SegrèDepartment of Biomedical Engineering, Boston University, Boston, MA, 02215, USA. dsegre@bu.edu.

Funding

Cultivation, Nature, Ecology and Pathogenicity of the Uncultivable Oral MicrobiomR01DE024468 · NIDCR · ADA FORSYTH INSTITUTE, INC. · PI ALM, ERIC JOHN, DEWHIRST, FLOYD E · 2014 to 2018
$7.3M
Visant-Predictome: A System for Integration, Mining, Visualization and AnalysisR01GM103502 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DELISI, CHARLES, HU, ZHENJUN · 2012 to 2015
$3.0M
Computation and functional significance of multi-phenotype genetic interaction maR01GM089978 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DUDLEY, AIMEE M, SEGRE, DANIEL · 2010 to 2014
$2.3M
Refinement Methods for Protein Docking based on Exploring Multi-Dimensional EnergR01GM093147 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KOZAKOV, DMYTRO, PASCHALIDIS, IOANNIS · 2011 to 2014
$1.2M
NIDCR NIH HHS R01 DE024468NIGMS NIH HHS R01 GM089978NIGMS NIH HHS R01 GM093147NIGMS NIH HHS R01 GM103502
6 · The paper itself

Abstract

Genome-scale flux balance models of metabolism provide testable predictions of all metabolic rates in an organism, by assuming that the cell is optimizing a metabolic goal known as the objective function. We introduce an efficient inverse flux balance analysis (invFBA) approach, based on linear programming duality, to characterize the space of possible objective functions compatible with measured fluxes. After testing our algorithm on simulated E. coli data and time-dependent S. oneidensis fluxes inferred from gene expression, we apply our inverse approach to flux measurements in long-term evolved E. coli strains, revealing objective functions that provide insight into metabolic adaptation trajectories.

Indexed as

AlgorithmsComputational BiologyComputer SimulationEscherichia coliGene Expression Regulation, BacterialGenome, BacterialMetabolic Networks and PathwaysModels, TheoreticalShewanellaFlux balance analysisGenome-scale stoichiometric modelsInverse optimizationMetabolic networksObjective functions

Identifiers

PMID27215445
PMCPMC4878026

What OpenQuestion holds

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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.