Evidence map›Paper›PMID 31813964›Full record

ReviewBriefings in bioinformatics2021

Pathway Tools version 23.0 update: software for pathway/genome informatics and systems biology.

Peter D Karp, Peter E Midford, Richard Billington, Anamika Kothari, Markus Krummenacker, Mario Latendresse, Wai Kit Ong, Pallavi Subhraveti, Ron Caspi, Carol Fulcher and 2 more

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing 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

122 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Persistent effects of early-life arsenic exposure inEnvironmental science. Processes & impacts · 2026
    Article
  10. LumbriCyc: towards metabolic modelling of earthworms.NPJ systems biology and applications · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. MagnetotacticISME communications · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. The genome-scale sugar metabolic model fromCurrent research in microbial sciences · 2026
    Article

62 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

12 authors.

Peter D KarpBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Peter E MidfordBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Richard BillingtonBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Anamika KothariBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Markus KrummenackerBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Mario LatendresseArtificial Intelligence Center, SRI International, Menlo Park, CA 94025, USA.
Wai Kit OngBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Pallavi SubhravetiBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Ron CaspiBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Carol FulcherBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Ingrid M KeselerBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Suzanne M PaleyBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.

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
The EcoCyc Model Organism Database for Escherichia coli [SRI Proposal ECU 14-631]U24GM077678 · NIGMS · SRI INTERNATIONAL · PI KARP, PETER D · 2006 to 2018
$12.3M
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 GM080746NIGMS NIH HHS U24 GM077678
6 · The paper itself

Abstract

motivationBiological systems function through dynamic interactions among genes and their products, regulatory circuits and metabolic networks. Our development of the Pathway Tools software was motivated by the need to construct biological knowledge resources that combine these many types of data, and that enable users to find and comprehend data of interest as quickly as possible through query and visualization tools. Further, we sought to support the development of metabolic flux models from pathway databases, and to use pathway information to leverage the interpretation of high-throughput data sets.

resultsIn the past 4 years we have enhanced the already extensive Pathway Tools software in several respects. It can now support metabolic-model execution through the Web, it provides a more accurate gap filler for metabolic models; it supports development of models for organism communities distributed across a spatial grid; and model results may be visualized graphically. Pathway Tools supports several new omics-data analysis tools including the Omics Dashboard, multi-pathway diagrams called pathway collages, a pathway-covering algorithm for metabolomics data analysis and an algorithm for generating mechanistic explanations of multi-omics data. We have also improved the core pathway/genome databases management capabilities of the software, providing new multi-organism search tools for organism communities, improved graphics rendering, faster performance and re-designed gene and metabolite pages. AVAILABILITY: The software is free for academic use; a fee is required for commercial use. See http://pathwaytools.com. CONTACT: pkarp@ai.sri.com. SUPPLEMENTARY INFORMATION: Supplementary data are available at Briefings in Bioinformatics online.

Indexed as

AnimalsGenomicsHumansMetabolomicsSoftwareSystems BiologyComputational genomicsmetabolic modelsmetabolic pathwayssystems biology

Identifiers

PMID31813964
PMCPMC8453236

What OpenQuestion holds

Textmetadata
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.