Log in to save to my catalogue

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2232098441

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

About this item

Full title

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

Publisher

New York: Nature Publishing Group US

Journal title

Nature methods, 2019-06, Vol.16 (6), p.509-518

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

In mass-spectrometry-based proteomics, the identification and quantification of peptides and proteins heavily rely on sequence database searching or spectral library matching. The lack of accurate predictive models for fragment ion intensities impairs the realization of the full potential of these approaches. Here, we extended the ProteomeTools syn...

Alternative Titles

Full title

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2232098441

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2232098441

Other Identifiers

ISSN

1548-7091

E-ISSN

1548-7105

DOI

10.1038/s41592-019-0426-7

How to access this item