Pathway Tools Visualization of Organism-Scale Metabolic Networks.
biochemical pathways charts
metabolic charts
metabolic diagrams
metabolic maps
metabolic network diagrams
metabolomics
transcriptomics
Journal
Metabolites
ISSN: 2218-1989
Titre abrégé: Metabolites
Pays: Switzerland
ID NLM: 101578790
Informations de publication
Date de publication:
22 Jan 2021
22 Jan 2021
Historique:
received:
24
11
2020
revised:
12
01
2021
accepted:
12
01
2021
entrez:
27
1
2021
pubmed:
28
1
2021
medline:
28
1
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33499002
pii: metabo11020064
doi: 10.3390/metabo11020064
pmc: PMC7911265
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM075742
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM077678
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM080746
Pays : United States
Organisme : NIH HHS
ID : GM075742, GM077678, and GM080746
Pays : United States
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