Increasing confidence in proteomic spectral deconvolution through mass defect
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/55813 |
Resumo: | Fundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Proteômica Estrutural e Computacional. Curitiba, PR, Brasil. |
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Clasen, Milan A.Kurt, Louise U.Santos, Marlon D. M.Lima, Diogo B.Liu, FanGozzo, Fabio C.Barbosa, Valmir C.Carvalho, Paulo Costa2022-11-28T14:00:33Z2022-11-28T14:00:33Z2022CLASEN, Milan A. et al. Increasing confidence in proteomic spectral deconvolution through mass defect. Bioinformatics, p. 1–2, 2022.1460-2059https://www.arca.fiocruz.br/handle/icict/5581310.1093/bioinformatics/btac638porOxfordY.A.D.A. 3.0ProteomicsMass SpectrometryAlgorithmsProteómicaEspectrometría de MasasAlgoritmosProtéomiqueSpectrométrie de masseAlgorithmesProteômicaEspectrometria de MassasAlgoritmosIncreasing confidence in proteomic spectral deconvolution through mass defectinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Proteômica Estrutural e Computacional. Curitiba, PR, Brasil.Fundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Proteômica Estrutural e Computacional. Curitiba, PR, Brasil.Fundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Proteômica Estrutural e Computacional. Curitiba, PR, Brasil.Department of Structural Biology. Leibniz - Forschungsinstitut für Molekulare Pharmakologie, Berlin, Germany.Department of Structural Biology. Leibniz - Forschungsinstitut für Molekulare Pharmakologie, Berlin, Germany.Universidade Estadual de Campinas. Dalton Mass Spectrometry Laboratory. Campinas, Brasil.Universidade Federal do Rio de Janeiro. Programa em Engenharia de Sistemas e Computação. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Proteômica Estrutural e Computacional. Curitiba, PR, Brasil.Motivation: Confident deconvolution of proteomic spectra is critical for several applications such as sequencing, cross-linking mass spectrometry and handling chimeric mass spectra. Results: In general, all deconvolution algorithms may eventually report mass peaks that are not compatible with the chemical formula of any peptide. We show how to remove these artifacts by considering their mass defects. We introduce Y.A.D.A. 3.0, a fast deconvolution algorithm that can remove peaks with unacceptable mass defects. Our approach is effective for polypeptides with less than 10 kDa, and its essence can be easily incorporated into any deconvolution algorithm.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/55813/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALbtac638ok.pdfbtac638ok.pdfapplication/pdf845111https://www.arca.fiocruz.br/bitstream/icict/55813/2/btac638ok.pdf1b45d4b08b32c67ff207a5cc154e3f5eMD52icict/558132022-11-29 20:10:47.894oai:www.arca.fiocruz.br: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ório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352022-11-29T23:10:47Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false |
dc.title.en_US.fl_str_mv |
Increasing confidence in proteomic spectral deconvolution through mass defect |
title |
Increasing confidence in proteomic spectral deconvolution through mass defect |
spellingShingle |
Increasing confidence in proteomic spectral deconvolution through mass defect Clasen, Milan A. Y.A.D.A. 3.0 Proteomics Mass Spectrometry Algorithms Proteómica Espectrometría de Masas Algoritmos Protéomique Spectrométrie de masse Algorithmes Proteômica Espectrometria de Massas Algoritmos |
title_short |
Increasing confidence in proteomic spectral deconvolution through mass defect |
title_full |
Increasing confidence in proteomic spectral deconvolution through mass defect |
title_fullStr |
Increasing confidence in proteomic spectral deconvolution through mass defect |
title_full_unstemmed |
Increasing confidence in proteomic spectral deconvolution through mass defect |
title_sort |
Increasing confidence in proteomic spectral deconvolution through mass defect |
author |
Clasen, Milan A. |
author_facet |
Clasen, Milan A. Kurt, Louise U. Santos, Marlon D. M. Lima, Diogo B. Liu, Fan Gozzo, Fabio C. Barbosa, Valmir C. Carvalho, Paulo Costa |
author_role |
author |
author2 |
Kurt, Louise U. Santos, Marlon D. M. Lima, Diogo B. Liu, Fan Gozzo, Fabio C. Barbosa, Valmir C. Carvalho, Paulo Costa |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Clasen, Milan A. Kurt, Louise U. Santos, Marlon D. M. Lima, Diogo B. Liu, Fan Gozzo, Fabio C. Barbosa, Valmir C. Carvalho, Paulo Costa |
dc.subject.other.en_US.fl_str_mv |
Y.A.D.A. 3.0 |
topic |
Y.A.D.A. 3.0 Proteomics Mass Spectrometry Algorithms Proteómica Espectrometría de Masas Algoritmos Protéomique Spectrométrie de masse Algorithmes Proteômica Espectrometria de Massas Algoritmos |
dc.subject.en.en_US.fl_str_mv |
Proteomics Mass Spectrometry Algorithms |
dc.subject.es.en_US.fl_str_mv |
Proteómica Espectrometría de Masas Algoritmos |
dc.subject.fr.en_US.fl_str_mv |
Protéomique Spectrométrie de masse Algorithmes |
dc.subject.decs.en_US.fl_str_mv |
Proteômica Espectrometria de Massas Algoritmos |
description |
Fundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Proteômica Estrutural e Computacional. Curitiba, PR, Brasil. |
publishDate |
2022 |
dc.date.accessioned.fl_str_mv |
2022-11-28T14:00:33Z |
dc.date.available.fl_str_mv |
2022-11-28T14:00:33Z |
dc.date.issued.fl_str_mv |
2022 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
CLASEN, Milan A. et al. Increasing confidence in proteomic spectral deconvolution through mass defect. Bioinformatics, p. 1–2, 2022. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/55813 |
dc.identifier.issn.en_US.fl_str_mv |
1460-2059 |
dc.identifier.doi.none.fl_str_mv |
10.1093/bioinformatics/btac638 |
identifier_str_mv |
CLASEN, Milan A. et al. Increasing confidence in proteomic spectral deconvolution through mass defect. Bioinformatics, p. 1–2, 2022. 1460-2059 10.1093/bioinformatics/btac638 |
url |
https://www.arca.fiocruz.br/handle/icict/55813 |
dc.language.iso.fl_str_mv |
por |
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por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Oxford |
publisher.none.fl_str_mv |
Oxford |
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reponame:Repositório Institucional da FIOCRUZ (ARCA) instname:Fundação Oswaldo Cruz (FIOCRUZ) instacron:FIOCRUZ |
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