Evidence map›Paper›PMID 33499002›Full record

ArticleMetabolites2021

Pathway Tools Visualization of Organism-Scale Metabolic Networks.

Suzanne Paley, Richard Billington, James Herson, Markus Krummenacker, Peter D Karp

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Visual analysis of multi-omics data.Frontiers in bioinformatics · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. The BioCyc Metabolic Network Explorer.BMC bioinformatics · 2021
    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

5 authors.

Suzanne PaleyBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.ORCID 0000-0001-5763-8935
Richard BillingtonBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
James HersonRobotics Group, SRI International, Menlo Park, CA 94025, USA.
Markus KrummenackerBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.ORCID 0000-0002-2546-3007
Peter D KarpBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.ORCID 0000-0002-5876-6418

Funding

The MetaCyc & BioCyc Pathway/Genome Databases (SRI Proposal ECU 14-630)R01GM080746 · NIGMS · SRI INTERNATIONAL · PI CASPI, RON, KARP, PETER D · 2007 to 2021
$15.6M
Robust Software Components for Model Organism DatabasesR01GM075742 · NIGMS · SRI INTERNATIONAL · PI KARP, PETER D · 2005 to 2019
$12.0M
The EcoCyc Model Organism Database for Escherichia coliR01GM077678 · NIGMS · SRI INTERNATIONAL · PI KARP, PETER D · 2019 to 2022
$4.6M
NIGMS NIH HHS R01 GM075742NIGMS NIH HHS R01 GM077678NIGMS NIH HHS R01 GM080746NIH HHS GM075742, GM077678, and GM080746
6 · The paper itself

Abstract

Metabolomics, synthetic biology, and microbiome research demand information about organism-scale metabolic networks. The convergence of genome sequencing and computational inference of metabolic networks has enabled great progress toward satisfying that demand by generating metabolic reconstructions from the genomes of thousands of sequenced organisms. Visualization of whole metabolic networks is critical for aiding researchers in understanding, analyzing, and exploiting those reconstructions. We have developed bioinformatics software tools that automatically generate a full metabolic-network diagram for an organism, and that enable searching and analyses of the network. The software generates metabolic-network diagrams for unicellular organisms, for multi-cellular organisms, and for pan-genomes and organism communities. Search tools enable users to find genes, metabolites, enzymes, reactions, and pathways within a diagram. The diagrams are zoomable to enable researchers to study local neighborhoods in detail and to see the big picture. The diagrams also serve as tools for comparison of metabolic networks and for interpreting high-throughput datasets, including transcriptomics, metabolomics, and reaction fluxes computed by metabolic models. These data can be overlaid on the metabolic charts to produce animated zoomable displays of metabolic flux and metabolite abundance. The BioCyc.org website contains whole-network diagrams for more than 18,000 sequenced organisms. The ready availability of organism-specific metabolic network diagrams and associated tools for almost any sequenced organism are useful for researchers working to better understand the metabolism of their organism and to interpret high-throughput datasets in a metabolic context.

Indexed as

biochemical pathways chartsmetabolic chartsmetabolic diagramsmetabolic mapsmetabolic network diagramsmetabolomicstranscriptomics

Identifiers

PMID33499002
PMCPMC7911265

What OpenQuestion holds

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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.