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CharmeRT: Boosting Peptide Identifications by Chimeric Spectra Identification and Retention Time Prediction
[Image: see text] Coeluting peptides are still a major challenge for the identification and validation of MS/MS spectra, but carry great potential. To tackle these problems, we have developed the here presented CharmeRT workflow, combining a chimeric spectra identification strategy implemented as pa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6079931/ https://www.ncbi.nlm.nih.gov/pubmed/29863353 http://dx.doi.org/10.1021/acs.jproteome.7b00836 |
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author | Dorfer, Viktoria Maltsev, Sergey Winkler, Stephan Mechtler, Karl |
author_facet | Dorfer, Viktoria Maltsev, Sergey Winkler, Stephan Mechtler, Karl |
author_sort | Dorfer, Viktoria |
collection | PubMed |
description | [Image: see text] Coeluting peptides are still a major challenge for the identification and validation of MS/MS spectra, but carry great potential. To tackle these problems, we have developed the here presented CharmeRT workflow, combining a chimeric spectra identification strategy implemented as part of the MS Amanda algorithm with the validation system Elutator, which incorporates a highly accurate retention time prediction algorithm. For high-resolution data sets this workflow identifies 38–64% chimeric spectra, which results in up to 63% more unique peptides compared to a conventional single search strategy. |
format | Online Article Text |
id | pubmed-6079931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-60799312018-08-08 CharmeRT: Boosting Peptide Identifications by Chimeric Spectra Identification and Retention Time Prediction Dorfer, Viktoria Maltsev, Sergey Winkler, Stephan Mechtler, Karl J Proteome Res [Image: see text] Coeluting peptides are still a major challenge for the identification and validation of MS/MS spectra, but carry great potential. To tackle these problems, we have developed the here presented CharmeRT workflow, combining a chimeric spectra identification strategy implemented as part of the MS Amanda algorithm with the validation system Elutator, which incorporates a highly accurate retention time prediction algorithm. For high-resolution data sets this workflow identifies 38–64% chimeric spectra, which results in up to 63% more unique peptides compared to a conventional single search strategy. American Chemical Society 2018-06-04 2018-08-03 /pmc/articles/PMC6079931/ /pubmed/29863353 http://dx.doi.org/10.1021/acs.jproteome.7b00836 Text en Copyright © 2018 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | Dorfer, Viktoria Maltsev, Sergey Winkler, Stephan Mechtler, Karl CharmeRT: Boosting Peptide Identifications by Chimeric Spectra Identification and Retention Time Prediction |
title | CharmeRT: Boosting
Peptide Identifications by Chimeric
Spectra Identification and Retention Time Prediction |
title_full | CharmeRT: Boosting
Peptide Identifications by Chimeric
Spectra Identification and Retention Time Prediction |
title_fullStr | CharmeRT: Boosting
Peptide Identifications by Chimeric
Spectra Identification and Retention Time Prediction |
title_full_unstemmed | CharmeRT: Boosting
Peptide Identifications by Chimeric
Spectra Identification and Retention Time Prediction |
title_short | CharmeRT: Boosting
Peptide Identifications by Chimeric
Spectra Identification and Retention Time Prediction |
title_sort | charmert: boosting
peptide identifications by chimeric
spectra identification and retention time prediction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6079931/ https://www.ncbi.nlm.nih.gov/pubmed/29863353 http://dx.doi.org/10.1021/acs.jproteome.7b00836 |
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