Sequenciamento de novo de peptídeos utilizando grafos para espectros de massa multiplex

Detalhes bibliográficos
Ano de defesa: 2017
Autor(a) principal: Damaso, José Cláudio Garcia
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal do Rio de Janeiro
Brasil
Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia
Programa de Pós-Graduação em Engenharia Civil
UFRJ
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://hdl.handle.net/11422/9797
Resumo: This thesis presents an approach for de novo peptide sequencing (in silico) using multiplex MS2 mass spectra, acquired by a mass spectrometer, containing fragments of more than one peptide in the same MS2 spectrum. A program, named DNbuilder, was developed for de novo peptide sequencing, in which the cost function considers yfragments intensity. The de novo peptide sequencing problem was modeled in graphs using Depth-first search, DFS, as the search algorithm for peptide sequencing over the graph. Within the predefined fragmentation window, monoisotopic charged +2 peptide ions were identified and selected as the MS2 targets. The multiplex methodology consists of the intensity changes of selected peaks from the MS2 multiplex spectrum, including the elimination or reduction of the y or b fragments of the previously identified peptides present in the MS2 multiplex window. The state-of-the-art programs used in the multiplex de novo peptide sequencing tests were Peaks 8, pNovoPlus e Novor 1.3.489, as well as, DNbuilder. A set of spectra from a thyroid sample acquired in 20 m/z window size was used to evaluate the multiplex methodology. The results show the methodology, even if simple, increased the number of correct identified peptide amino acids in multiplex spectra, an evidence that there are ways of de novo sequencing multiplex spectra.