Your browser doesn't support javascript.
loading
De Novo Sequencing of Peptides from High-Resolution Bottom-Up Tandem Mass Spectra using Top-Down Intended Methods.
Vyatkina, Kira; Dekker, Lennard J M; Wu, Si; VanDuijn, Martijn M; Liu, Xiaowen; Tolic, Nikola; Luider, Theo M; Pasa-Tolic, Ljiljana.
Afiliação
  • Vyatkina K; Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia.
  • Dekker LJM; Department of Mathematical and Information Technologies, Saint Petersburg Academic University, Russian Academy of Sciences, Saint Petersburg, Russia.
  • Wu S; Department of Information Technologies and Programming, ITMO University, Saint Petersburg, Russia.
  • VanDuijn MM; Department of Computer Technologies and Informatics, Saint Petersburg Electrotechnical University LETI, Saint Petersburg, Russia.
  • Liu X; Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Tolic N; Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, USA.
  • Luider TM; Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Pasa-Tolic L; Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
Proteomics ; 17(23-24)2017 Dec.
Article em En | MEDLINE | ID: mdl-29110399
Despite high-resolution mass spectrometers are becoming accessible for more and more laboratories, tandem (MS/MS) mass spectra are still often collected at a low resolution. And even if acquired at a high resolution, software tools used for their processing do not tend to benefit from that in full, and an ability to specify a relative mass tolerance in this case often remains the only feature the respective algorithms take advantage of. We argue that a more efficient way to analyze high-resolution MS/MS spectra should be with methods more explicitly accounting for the precision level, and sustain this claim through demonstrating that a de novo sequencing framework originally developed for (high-resolution) top-down MS/MS data is perfectly suitable for processing high-resolution bottom-up datasets, even though a top-down like deconvolution performed as the first step will leave in many spectra at most a few peaks.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fragmentos de Peptídeos / Algoritmos / Proteínas / Análise de Sequência de Proteína / Proteômica / Espectrometria de Massas em Tandem Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fragmentos de Peptídeos / Algoritmos / Proteínas / Análise de Sequência de Proteína / Proteômica / Espectrometria de Massas em Tandem Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article