Cited by 755Bioinformatics and Genomic NetworksBiomedical Text Mining and OntologiesScientific Computing and Data Management

The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index; none of the 43 sources its claims cite is checked for support yet.

The BioPAX community standard for pathway data sharing

Open access
Demir, Emek, Cary, Michael P, Paley, Suzanne, Fukuda, Ken, Lemer, Christian, Vastrik, Imre, Wu, Guanming, D'Eustachio, Peter, Schaefer, Carl, Luciano, Joanne, Schacherer, Frank, Martinez-Flores, Irma, Hu, Zhenjun, Jimenez-Jacinto, Veronica, Joshi-Tope, Geeta, Kandasamy, Kumaran, Lopez-Fuentes, Alejandra C, Mi, Huaiyu, Pichler, Elgar, Rodchenkov, Igor, Splendiani, Andrea, Tkachev, Sasha, Zucker, Jeremy, Gopinath, Gopal, Rajasimha, Harsha, Ramakrishnan, Ranjani, Shah, Imran, Syed, Mustafa, Anwar, Nadia, Babur, Özgün, Blinov, Michael, Brauner, Erik, Corwin, Dan, Donaldson, Sylva, Gibbons, Frank, Goldberg, Robert, Hornbeck, Peter, Luna, Augustin, Murray-Rust, Peter, Neumann, Eric, Ruebenacker, Oliver, Samwald, Matthias, van Iersel, Martijn, Wimalaratne, Sarala, Allen, Keith, Braun, Burk, Whirl-Carrillo, Michelle, Cheung, Kei-Hoi, Dahlquist, Kam, Finney, Andrew, Gillespie, Marc, Glass, Elizabeth, Gong, Li, Haw, Robin, Honig, Michael, Hubaut, Olivier, Kane, David, Krupa, Shiva, Kutmon, Martina, Leonard, Julie, Marks, Debbie, Merberg, David, Petri, Victoria, Pico, Alex, Ravenscroft, Dean, Ren, Liya, Shah, Nigam, Sunshine, Margot, Tang, Rebecca, Whaley, Ryan, Letovksy, Stan, Buetow, Kenneth H, Rzhetsky, Andrey, Schachter, Vincent, Sobral, Bruno S, Dogrusoz, Ugur, McWeeney, Shannon, Aladjem, Mirit, Birney, Ewan, Collado-Vides, Julio, Goto, Susumu, Hucka, Michael, Le Novère, Nicolas, Maltsev, Natalia, Pandey, Akhilesh, Thomas, Paul, Wingender, Edgar, Karp, Peter D, Sander, Chris, Bader, Gary D·2010·Nature Biotechnology

Abstract

Biological Pathway Exchange (BioPAX) is a standard language to represent biological pathways at the molecular and cellular level and to facilitate the exchange of pathway data. The rapid growth of the volume of pathway data has spurred the development of databases and computational tools to aid interpretation; however, use of these data is hampered by the current fragmentation of pathway information across many databases with incompatible formats. BioPAX, which was created through a community process, solves this problem by making pathway data substantially easier to collect, index, interpret and share. BioPAX can represent metabolic and signaling pathways, molecular and genetic interactions and gene regulation networks. Using BioPAX, millions of interactions, organized into thousands of pathways, from many organisms are available from a growing number of databases. This large amount of pathway data in a computable form will support visualization, analysis and biological discovery.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

BioPAX is a community-developed OWL-based standard language for exchanging biological pathway data, covering metabolic and signaling pathways, molecular and genetic interactions, and gene regulation. It aims to reduce fragmentation across pathway databases and tools by making pathway data computable for visualization, analysis, and integration.

Key findings

  • BioPAX provides an ontology, OWL-based syntax, and a validator; it supports metabolic pathways, signaling pathways, gene regulatory networks, molecular interactions, and genetic interactions, with Level 3 currently recommended.
  • The paper reports that pathway and molecular interaction online resources grew from 190 in 2006 to 325 in 2010, a 70% increase, and that over 300 pathway or molecular interaction related data resources existed.
  • Through BioPAX, “millions of interactions organized into thousands of pathways across many organisms” are available in computable form from a growing number of sources.
  • BioPAX levels evolved incrementally: Level 1 supports metabolic pathways; Level 2 adds molecular interactions and post-translational modifications via PSI-MI; Level 3 adds signaling pathways, molecular state, gene regulation, and genetic interactions, but broke backwards compatibility.

Methods

  • Not an empirical study; the paper describes a community consensus process, including more than 15 BioPAX workshops since November 2002, mailing lists, a community wiki, and incremental language levels.
  • It describes ontology design, scope, validation, and coordination with related standards such as PSI-MI, SBGN, SBML, and CellML; no statistical analysis is reported.
  • Evidence comes from referenced pathway databases, software tools, and use cases rather than a formal sample or experimental dataset.

Limitations

  • The paper states that BioPAX does not support dynamic and quantitative aspects of biological processes, including temporal aspects of feedback loops and calcium waves; it coordinates with SBML and CellML for these.
  • The paper states that experimental evidence is included only for molecular interactions because PSI-MI already defined it; visualization is not standardized by BioPAX but coordinated with SBGN; semantic integration remains difficult due to multiple abstractions, different controlled vocabularies, data incompleteness, or errors; and Level 3 broke backwards compatibility.
  • Evident from the text: no empirical evaluation or benchmarking of adoption, interoperability, or user outcomes is reported; the paper is a descriptive community and standard report.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/nbt.1666

Cites

85 of 85 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 43 cited sources checked · 0 supported · 0 flagged

Show all 20 claims

  • Probably not a substantial claim. 47
  • It may state two separate claims as one. 17
53 of 53
  • The paper relies on this without support.

    BioPAX is the only community standard for biological pathway exchange to and from databases.

    “BioPAX is the only community standard for biological pathway exchange to and from databases, but coordinates with other standards in related areas (Figure 6).”
  • The paper relies on this without support.

    Formal representation is required for computer software to make use of information.

    “Formal representation is required for computer software to make use of information.”
  • The paper relies on this without support.

    A formal representation allows consistent communication of knowledge between individuals or computer systems and helps manage complexity in information processing by breaking knowledge into clear concepts.

    “A formal representation allows for consistent communication of knowledge between individuals or computer systems and helps manage complexity in information processing as knowledge is broken down into clear concepts that can be considered independently.”
  • The paper relies on this without support.

    Ontologies enable integration of knowledge between independent resources linked on the WWW.

    “Ontologies also enable integration of knowledge between independent resources linked on the World Wide Web (WWW).”
  • The paper relies on this without support.

    Representing and sharing knowledge using ontologies is simplified by the availability of OWL.

    “Representing and sharing knowledge using ontologies is simplified by availability of the standard web ontology language (OWL) (http://www.w3.org/TR/owl-features/).”
  • The paper relies on this without support.

    OWL is a standard ontology language supported by useful software tools for editing, transmitting, querying, reasoning, and visualizing.

    “OWL is a standard ontology language that is supported by useful software tools for editing, transmitting, querying, reasoning and visualizing.”
  • The paper relies on this without support.

    Community consensus is an effective way to develop a standard.

    “BioPAX is developed via community consensus among data providers, tool developers and pathway data users.”
7 of 7

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Show all 84 references

Cited by

Sorted by citations

Items 301–400 of 755

Metadata

Authors
Demir, E., Cary, M. P., Paley, S., Fukuda, K., Lemer, C., Vastrik, I., Wu, G., D'Eustachio, P., Schaefer, C., Luciano, J., Schacherer, F., Martinez-Flores, I., Hu, Z., Jimenez-Jacinto, V., Joshi-Tope, G., Kandasamy, K., Lopez-Fuentes, A. C., Mi, H., Pichler, E., Rodchenkov, I., Splendiani, A., Tkachev, S., Zucker, J., Gopinath, G., Rajasimha, H., Ramakrishnan, R., Shah, I., Syed, M., Anwar, N., Babur, Ö., Blinov, M., Brauner, E., Corwin, D., Donaldson, S., Gibbons, F., Goldberg, R., Hornbeck, P., Luna, A., Murray-Rust, P., Neumann, E., Ruebenacker, O., Samwald, M., van Iersel, M., Wimalaratne, S., Allen, K., Braun, B., Whirl-Carrillo, M., Cheung, K.-H., Dahlquist, K., Finney, A., Gillespie, M., Glass, E., Gong, L., Haw, R., Honig, M., Hubaut, O., Kane, D., Krupa, S., Kutmon, M., Leonard, J., Marks, D., Merberg, D., Petri, V., Pico, A., Ravenscroft, D., Ren, L., Shah, N., Sunshine, M., Tang, R., Whaley, R., Letovksy, S., Buetow, K. H., Rzhetsky, A., Schachter, V., Sobral, B. S., Dogrusoz, U., McWeeney, S., Aladjem, M., Birney, E., Collado-Vides, J., Goto, S., Hucka, M., Le Novère, N., Maltsev, N., Pandey, A., Thomas, P., Wingender, E., Karp, P. D., Sander, C., & Bader, G. D.
Affiliations
  • Memorial Sloan Kettering Cancer Center (US)
  • SRI International (US)
  • National Institute of Advanced Industrial Science and Technology (JP)
  • Université Libre de Bruxelles (BE)
  • Ontario Institute for Cancer Research (CA)
  • National Institutes of Health (US)
  • Boston University (US)
  • Johns Hopkins University (US)
  • University of Toronto (CA)
  • Rothamsted Research (GB)
  • Cell Signaling Technology (United States) (US)
  • Broad Institute (US)
  • Center for Food Safety and Applied Nutrition (US)
  • Oregon Health & Science University (US)
  • Environmental Protection Agency (US)
  • Argonne National Laboratory (US)
  • UConn Health (US)
  • Harvard University (US)
  • National Institute of Standards and Technology (US)
  • University of Auckland (NZ)
  • Syngenta (United States) (US)
  • Yale University (US)
  • Loyola Marymount University (US)
  • St. John's University (US)
  • Stanford University (US)
  • Columbia University (US)
  • SRA International (United States) (US)
  • University of Ottawa (CA)
  • Vertex Pharmaceuticals (United States) (US)
  • Medical College of Wisconsin (US)
  • Cornell University (US)
  • Cold Spring Harbor Laboratory (US)
  • Takeda Oncology (United States) (US)
  • Virginia Tech (US)
  • European Bioinformatics Institute (GB)
  • Kyoto University Institute for Chemical Research (JP)
  • California Institute of Technology (US)
  • University of Göttingen (DE)
Corresponding author
Bader, Gary D
Venue
Nature Biotechnology
Published
2010-09
Volume
28
Issue
9
Pages
935-942
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W1969709265
Cited by
745
References
84
Citations by year
2026: 27 · 2025: 13 · 2024: 32 · 2023: 35 · 2022: 41 · 2021: 46 · 2020: 44 · 2019: 43 · 2018: 45 · 2017: 35 · 2016: 57 · 2015: 74 · 2014: 49 · 2013: 78 · 2012: 62
FWCI
26.30
Type
journal article
Language
en
Open access
Locations
  • Nature Biotechnology (publishedVersion)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion, other-oa)
  • PubMed Central (acceptedVersion)
  • Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
  • Bilkent University Institutional Repository (Bilkent University) (submittedVersion)
  • Rothamsted Repository (Rothamsted Repository) (submittedVersion)
  • CaltechAUTHORS (California Institute of Technology) (submittedVersion)
  • Arrow@dit (Dublin Institute of Technology) (submittedVersion)
  • ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway) (submittedVersion, cc-by-nc-nd)
  • Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
  • GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, cc-by)
  • Research Publications (Maastricht University) (submittedVersion)
Funders
  • U.S. Department of Energy (FG02-04ER63931, DE‐FG02‐)
  • Genome Canada
  • Ontario Genomics
  • Ontario Genomics Institute
  • National Institutes of Health (5r13gm076939-03)
  • Biotechnology and Biological Sciences Research Council (BB/F010516/1)
  • National Human Genome Research Institute (P41HG004118, U54HG004028)
  • National Cancer Institute (P30CA069533)
  • National Institute of General Medical Sciences (R13 GM076939, 1R13GM076939, R01GM071962, R01GM070923, U24GM077678)
  • National Institute of Allergy and Infectious Diseases (U54AI081680)
  • National Center for Research Resources (R01RR022971)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Health Sciences › Medicine › Health Informatics › Biomedical Text Mining and Ontologies
  • Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
Keywords
BioPAX, data exchange standards, pathway databases, metabolic pathways, signaling pathways, molecular interactions, gene regulatory networks, data interoperability
MeSH terms
Programming Languages, Software, Signal Transduction, Computational Biology, Databases as Topic, Information Dissemination, Metabolic Networks and Pathways

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-09, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-09 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review