Evidence map›Paper›PMID 22760628›Full record

ArticleNature communications2012

In silico method for modelling metabolism and gene product expression at genome scale.

Joshua A Lerman, Daniel R Hyduke, Haythem Latif, Vasiliy A Portnoy, Nathan E Lewis, Jeffrey D Orth, Alexandra C Schrimpe-Rutledge, Richard D Smith, Joshua N Adkins, Karsten Zengler and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Nature communications, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed
9.4field-weighted citation impact, top 1% 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

135 citing papers in PubMed, 291 citations in OpenAlex.

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  10. Integration of proteomic data with genome-scale metabolic models: A methodological overview.Protein science : a publication of the Protein Society · 2024
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75 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Joshua A LermanDepartment of Bioengineering, University of California-San Diego, PFBH Room 419, 9500 Gliman Drive, La Jolla, California 92093-0412, USA.
Daniel R Hyduke
Haythem Latif
Vasiliy A Portnoy
Nathan E Lewis
Jeffrey D Orth
Alexandra C Schrimpe-Rutledge
Richard D Smith
Joshua N Adkins
Karsten Zengler
Bernhard O Palsson
University of California, San Diego · USPacific Northwest National Laboratory · US

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, IDEKER, TREY · 2010 to 2018
$23.3M
Multiscale Molecular Systems Biology: Reconstruction and Model OptimizationU01GM102098 · NIGMS · STANFORD UNIVERSITY · PI SAUNDERS, MICHAEL ALAN · 2012 to 2016
$1.8M
SURFACE CHEMISTRY OF MYCOBACTERIAR01AI008401 · NIAID · NATIONAL JEWISH HEALTH · PI GOREN, MAYER B. · 1989 to 1989
–
SURFACE CHEMISTRY OF MYCOBACTERIAR22AI008401 · NIAID · NATIONAL JEWISH HEALTH · PI GOREN, MAYER B. · 1985 to 1989
–
NIAID NIH HHS Y01 AI008401NIGMS NIH HHS GM085764NIGMS NIH HHS P50 GM085764NIGMS NIH HHS U01 GM102098
6 · The paper itself

Abstract

Transcription and translation use raw materials and energy generated metabolically to create the macromolecular machinery responsible for all cellular functions, including metabolism. A biochemically accurate model of molecular biology and metabolism will facilitate comprehensive and quantitative computations of an organism's molecular constitution as a function of genetic and environmental parameters. Here we formulate a model of metabolism and macromolecular expression. Prototyping it using the simple microorganism Thermotoga maritima, we show our model accurately simulates variations in cellular composition and gene expression. Moreover, through in silico comparative transcriptomics, the model allows the discovery of new regulons and improving the genome and transcription unit annotations. Our method presents a framework for investigating molecular biology and cellular physiology in silico and may allow quantitative interpretation of multi-omics data sets in the context of an integrated biochemical description of an organism.

Indexed as

Computational BiologySystems BiologyThermotoga maritimaTranscriptome

Identifiers

PMID22760628
PMCPMC3827721
OpenAlexW2170298003

What OpenQuestion holds

Textmetadata
LicenceTDM
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.