Evidence map›Paper›PMID 25934797›Full record

ArticleNucleic acids research2015

Pathways with PathWhiz.

Allison Pon, Timothy Jewison, Yilu Su, Yongjie Liang, Craig Knox, Adam Maciejewski, Michael Wilson, David S Wishart

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Metabolomics Data Analysis with the HMDB.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Circular van Krevelen diagram for visualizing metabolic pathways.bioRxiv : the preprint server for biology · 2025
    Article
  4. DrugRepoBank: a comprehensive database and discovery platform for accelerating drug repositioning.Database : the journal of biological databases and curation · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Re-curation and rational enrichment of knowledge graphs in Biological Expression Language.Database : the journal of biological databases and curation · 2019
    Article
  13. Article
  14. Review of recent developments in GC-MS approaches to metabolomics-based research.Metabolomics : Official journal of the Metabolomic Society · 2018
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

8 authors.

Allison PonDepartment of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2E8, Canada.
Timothy JewisonDepartment of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2E8, Canada.
Yilu SuDepartment of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2E8, Canada.
Yongjie LiangDepartment of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2E8, Canada.
Craig KnoxDepartment of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2E8, Canada.
Adam MaciejewskiDepartment of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2E8, Canada.
Michael WilsonDepartment of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2E8, Canada.
David S WishartDepartment of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2E8, Canada Department of Biological Science, University of Alberta, Edmonton, Alberta, T6G 2E8, Canada National Institute for Nanotechnology, 11421 Saskatchewan Drive, Edmonton, Alberta, T6G 2M9, Canada david.wishart@ualberta.ca.

Funding

Canadian Institutes of Health Research 111062
6 · The paper itself

Abstract

PathWhiz (http://smpdb.ca/pathwhiz) is a web server designed to create colourful, visually pleasing and biologically accurate pathway diagrams that are both machine-readable and interactive. As a web server, PathWhiz is accessible from almost any place and compatible with essentially any operating system. It also houses a public library of pathways and pathway components that can be easily viewed and expanded upon by its users. PathWhiz allows users to readily generate biologically complex pathways by using a specially designed drawing palette to quickly render metabolites (including automated structure generation), proteins (including quaternary structures, covalent modifications and cofactors), nucleic acids, membranes, subcellular structures, cells, tissues and organs. Both small-molecule and protein/gene pathways can be constructed by combining multiple pathway processes such as reactions, interactions, binding events and transport activities. PathWhiz's pathway replication and propagation functions allow for existing pathways to be used to create new pathways or for existing pathways to be automatically propagated across species. PathWhiz pathways can be saved in BioPAX, SBGN-ML and SBML data exchange formats, as well as PNG, PWML, HTML image map or SVG images that can be viewed offline or explored using PathWhiz's interactive viewer. PathWhiz has been used to generate over 700 pathway diagrams for a number of popular databases including HMDB, DrugBank and SMPDB.

Indexed as

Metabolic Networks and PathwaysSoftwareAnimalsComputer GraphicsDiseaseGenesHumansInternetMiceProtein Interaction MappingSignal Transduction

Identifiers

PMID25934797
PMCPMC4489271

What OpenQuestion holds

Textmetadata
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.