Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Correspondence
  • Published:

OmniPath: guidelines and gateway for literature-curated signaling pathway resources

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Rent or buy this article

Prices vary by article type

from$1.95

to$39.95

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Resources featured in OmniPath and pypath.

References

  1. Bader, G.D., Cary, M.P. & Sander, C. Nucleic Acids Res. 34, D504–D506 (2006).

    Article  CAS  Google Scholar 

  2. Cusick, M.E. et al. Nat. Methods 6, 39–46 (2009).

    Article  CAS  Google Scholar 

  3. Klingström, T. & Plewczynski, D. Brief. Bioinform. 12, 702–713 (2011).

    Article  Google Scholar 

  4. Kirouac, D.C. et al. BMC Syst. Biol. 6, 29 (2012).

    Article  Google Scholar 

  5. Kamburov, A., Stelzl, U., Lehrach, H. & Herwig, R. Nucleic Acids Res. 41, D793–D800 (2013).

    Article  CAS  Google Scholar 

  6. Cerami, E.G. et al. Nucleic Acids Res. 39, D685–D690 (2011).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank members of the Saez laboratory, especially L. Tobalina for useful feedback on the manuscript and for testing pypath and A. Zinovyev, G. Cesareni, H. Hermjakob and L. Perfetto for useful discussions. D.T. was supported by the EMBL Interdisciplinary Postdoc Programme (EIPOD) under Marie Skłodowska-Curie COFUND Actions (grant number 291772). T.K. was funded by a fellowship in computational biology at the Earlham Institute (Norwich, UK) in partnership with the Institute of Food Research (Norwich, UK), and strategically supported by Biotechnological and Biosciences Research Council, UK (BB/J004529/1). We thank the developers of all the very useful resources we have used in this study and their funding agencies as described in their respective publications and webpages.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Julio Saez-Rodriguez.

Ethics declarations

Competing interests

Although we did our best to avoid bias, we should mention that we contributed to the development of ARN, NRF2ome and SignaLink3—three of the resources analyzed here. Apart from this, we declare no conflict of interest.

Integrated supplementary information

Supplementary Figure 1 Journals ranked by number of references.

The top 100 most cited journals in all resources.

Supplementary Figure 2 Journals ranked by number of references for all resources.

The top 10 most cited journals for each individual resource.

Supplementary Figure 3 Total number of articles published in journals.

Total number of articles published in the top 10 most often cited, molecular biology specific journals over the last two decades. Journals with broader spectrum have been omitted. Figure generated with the Scopus webservice.

Supplementary Figure 4 Coverage of resources on various groups of proteins.

Categories and shaded areas as on Supplementary Fig. 5. (a) Percentage of human receptors (as listed in HPMR) covered by pathway resources; (b) Percentage of transcription factors (TFs; from TF Census) covered by pathway resources; (c) Number of complexes (as defined in CORUM) and (d) number of post-translational modifications (PTMs) from PTM resources that can be mapped onto the network (i.e. corresponding group of proteins or interacting protein pair can be found). (e-f) Percentage of cancer driver genes (as listed in Cancer Gene Census and IntOGen) covered by pathway resources covered by pathway resources. (g) Percentage of disease related genes, as listed in DisGeNet, covered by pathway resources; (h) Number of all enzyme-substrate pairs by PTM resources, and number of the enzyme-substrate interactions for a corresponding edge can be found in any of the resources.

Supplementary Figure 5 Network features of resources

The left column subplots show the cumulative numbers for each category. In that plot, shaded areas on the bars represent quantities unique for each category; in the other plots, quantities unique for each resource within its category. (a) proteins per database; (b) interacting pairs of proteins per database (directed networks converted to undirected for comparability); (c) network density; (d) transitivity. Databases are sorted by decreasing value of their protein count.

Supplementary information

Supplementary Text and Figures

Supplementary Figures 1–5, Supplementary Tables 1–4, Supplementary Results 1–5, Supplementary Methods and Supplementary Notes 1 and 2. (PDF 1068 kb)

Supplementary Software

pypath software and instructions. (ZIP 4162 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Türei, D., Korcsmáros, T. & Saez-Rodriguez, J. OmniPath: guidelines and gateway for literature-curated signaling pathway resources. Nat Methods 13, 966–967 (2016). https://doi.org/10.1038/nmeth.4077

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nmeth.4077

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing