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KinomeXplorer: an integrated platform for kinome biology studies

Nature Methods volume 11, pages 603604 (2014) | Download Citation

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Acknowledgements

We would like to thank members of R.L.'s laboratory for useful input on the manuscript, and A. Pasculescu for input on the data collection. This work was supported by the Lundbeck Foundation, the Human Frontier Science Program (HFSP), the Danish Council for Independent Research (FSS) and the European Research Council (ERC).

Author information

Author notes

    • Heiko Horn
    • , Erwin M Schoof
    •  & Jinho Kim

    These authors contributed equally to this work.

Affiliations

  1. Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.

    • Heiko Horn
    •  & Lars Juhl Jensen
  2. Cellular Signal Integration Group (C-SIG), Center for Biological Sequence Analysis (CBS), Department of Systems Biology, Technical University of Denmark (DTU), Lyngby, Denmark.

    • Erwin M Schoof
    • , Jinho Kim
    • , Xavier Robin
    •  & Rune Linding
  3. Computational Biology Program, Memorial Sloan-Kettering Cancer Center, New York, New York, USA.

    • Martin L Miller
  4. Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.

    • Francesca Diella
  5. Molecular Health GmbH, Heidelberg, Germany.

    • Francesca Diella
  6. Department of Biology, University of Rome Tor Vergata, Rome, Italy.

    • Anita Palma
    •  & Gianni Cesareni
  7. Istituto Ricovero e Cura a Carattere Scientifico, Fondazione Santa Lucia, Rome, Italy.

    • Gianni Cesareni

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Competing interests

The authors declare no competing financial interests.

Corresponding authors

Correspondence to Lars Juhl Jensen or Rune Linding.

Supplementary information

PDF files

  1. 1.

    Supplementary Text and Figures

    Supplementary Figures 1 and 2, and Supplementary Note

Excel files

  1. 1.

    Supplementary Table 1

    Benchmark of the NetworKIN method

  2. 2.

    Supplementary Table 2

    Dataset for training NetPhorest and NetworKIN

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DOI

https://doi.org/10.1038/nmeth.2968

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