Deep learning the collisional cross sections of the peptide universe from a million training samples

Florian Meier; Niklas D. Köhler; Andreas-David Brunner; Jean-Marc H. Wanka; Eugenia Voytik; Maximilian T. Strauss; Fabian J. Theis; Matthias Mann

doi:10.1101/2020.05.19.102285

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Deep learning the collisional cross sections of the peptide universe from a million training samples

View ORCID ProfileFlorian Meier, Niklas D. Köhler, Andreas-David Brunner, Jean-Marc H. Wanka, Eugenia Voytik, Maximilian T. Strauss, Fabian J. Theis, Matthias Mann

doi: https://doi.org/10.1101/2020.05.19.102285

Florian Meier

1Max Planck Institute of Biochemistry, Department Proteomics and Signal Transduction, Martinsried, Germany

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ORCID record for Florian Meier

Niklas D. Köhler

2Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Computational Biology, Neuherberg, Germany

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Andreas-David Brunner

1Max Planck Institute of Biochemistry, Department Proteomics and Signal Transduction, Martinsried, Germany

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Jean-Marc H. Wanka

2Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Computational Biology, Neuherberg, Germany

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Eugenia Voytik

1Max Planck Institute of Biochemistry, Department Proteomics and Signal Transduction, Martinsried, Germany

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Maximilian T. Strauss

1Max Planck Institute of Biochemistry, Department Proteomics and Signal Transduction, Martinsried, Germany

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Fabian J. Theis

2Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Computational Biology, Neuherberg, Germany

3Department of Mathematics, TU München, Munich, Germany

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For correspondence: fabian.theis@helmholtz-muenchen.de mman@biochem.mpg.de

Matthias Mann

1Max Planck Institute of Biochemistry, Department Proteomics and Signal Transduction, Martinsried, Germany

4NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark

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For correspondence: fabian.theis@helmholtz-muenchen.de mman@biochem.mpg.de

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Posted May 21, 2020.

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Deep learning the collisional cross sections of the peptide universe from a million training samples

Florian Meier, Niklas D. Köhler, Andreas-David Brunner, Jean-Marc H. Wanka, Eugenia Voytik, Maximilian T. Strauss, Fabian J. Theis, Matthias Mann

bioRxiv 2020.05.19.102285; doi: https://doi.org/10.1101/2020.05.19.102285

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Deep learning the collisional cross sections of the peptide universe from a million training samples

Florian Meier, Niklas D. Köhler, Andreas-David Brunner, Jean-Marc H. Wanka, Eugenia Voytik, Maximilian T. Strauss, Fabian J. Theis, Matthias Mann

bioRxiv 2020.05.19.102285; doi: https://doi.org/10.1101/2020.05.19.102285

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