• Title/Summary/Keyword: Mowse

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Performance Improvement of Mowse Scoring Method for Protein Identification (단백질 동정을 위한 Mowse 스코어링 방법의 성능 개선)

  • Jung, Min-A;Kim, Chi-Yeon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.10
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    • pp.1880-1885
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    • 2007
  • In this paper, we propose the method that improve the performance of the Mowse. Mowse is the tool of the peptide mass fingerprinting that is used the identification of protein. In Mowse, frequency factor matrix is generated to regular interval for protein and peptide mass and the value of each elements is calculated to frequency of peptide. We propose new method for calculation of exact scoring value maintaining same size of matrix. The proposed method is that decide interval of matrix considering distribution of protein database. That is, interval of matrix is decided to small in many value of protein mass and is decided to large in few value of protein mass. We present the performance result both Mowse scoring method and the proposed scoring method.

Improved Algorithms for the Identification of Yeast Proteins and Significant Transcription Factor and Motif Analysis

  • Lee Seung-Won;Hong Seong-Eui;Lee Kyoo-Yeol;Choi Do-Il;Chung Hae-Young;Hur Cheol-Goo
    • Genomics & Informatics
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    • v.4 no.2
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    • pp.87-93
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    • 2006
  • With the rapid development of MS technologiesy, the demands for a more sophisticated MS interpretation algorithm haves grown as well. We have developed a new protein fingerprinting method using a binomial distribution, (fBIND). With the fBIND, we improved the performance accuracy of protein fingerprinting up to the maximum 49% (more than MOWSE) and 2% than(at a previous binomial distribution approach studied by of Wool et al.) as compared to the established algorithms. Moreover, we also suggest a the statistical approach to define the significance of transcription factors and motifs in the identified proteins based on the Gene Ontology (GO). Abbreviations: fBIND, fingerprinting using binomial distribution; GO, Gene Ontology; MS, Mass Spectrometry; PMF, peptide mass fingerprinting; nr, nonredundant; SGD, Saccharomyces Genome Database

Analysis of Myosin Heavy Chain Isoforms from Longissimus Thoracis Muscle of Hanwoo Steer by Electrophoresis and LC-MS/MS

  • Kim, Gap-Don
    • Food Science of Animal Resources
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    • v.34 no.5
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    • pp.656-664
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    • 2014
  • The purpose of this study was to analyze myosin heavy chain (MHC) isoforms in bovine longissimus thoracis (LT) muscle by liquid chromatography (LC) and mass spectrometry (MS). LT muscles taken from Hanwoo (Korean native cattle) steer (n=3) used to separate myosin bands by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. The peptide queries were obtained from the myosin bands by LC-MS/MS analysis following in-gel digestion with trypsin. A total of 33 and 43 queries were identified as common and unique peptides, respectively, of MHC isoforms (individual ions scores >43 indicate identity or extensive homology, p<0.05). MHC-1 (IIx), -2 (IIa), -4 (IIb), and -7 (slow/I) were identified based on the Mowse score (5118, 3951, 2526, and 2541 for MHC-1, -2, -4, and -7, respectively). However, more analysis is needed to confirm the expression of MHC-4 in bovine LT muscle because any query identified as a unique peptide of MHC-4 was not found. The queries that were identified as unique peptides could be used as peptide markers to confirm MHC-1 (14 queries), -2 (8 queries), and -7 (21 queries) in bovine LT muscle; no query identified as a unique peptide of MHC-4 was found. LC-MS/MS analysis is a useful approach to study MHC isoforms at the protein level.

Mass-Spectral Identification of an Extracellular Protease from Bacillus subtilis KCCM 10257, a Producer of Antibacterial Peptide Subtilein

  • SONG HYUK-HWAN;GIL MI-JUNG;LEE CHAN
    • Journal of Microbiology and Biotechnology
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    • v.15 no.5
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    • pp.1054-1059
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    • 2005
  • An extracellular protease was identified from Bacillus subtilis KCCM 10257 by N-terminal sequencing and mass spectral analysis. The molecular mass of the extracellular protease was estimated to be 28 kDa by SDS-PAGE. Sequencing of the N-terminal of the protease revealed the sequence of A(G,S,R)QXVPYG(A)V(P,L)SQ. The N-terminal sequence exhibited close similarity to the sequence of other proteases from Bacillus sp. A mass list of the monoisotopic peaks in the MALDI-TOF spectrum was searched after peptide fragmentation of the protease. Six peptide sequences exhibiting monoisotopic masses of 1,276.61, 1,513.67, 1,652.81, 1,661.83, 1,252.61, and 1,033.46 were observed from the fragmented protease. These monisotopic masses corresponded to the lytic enzyme L27 from Bacillus subtilis 168, and the Mowse score was found to be 75. A doubly charged Top product (MS) at a m/z of 517.3 exhibiting a molecular mass of 1034.6 was further analyzed by de novo sequencing using a PE Sciex QSTAR Hybrid Quadropole-TOF (MS/MS) mass spectrometer. MS/MS spectra of the Top product (MS) at a m/z of 517.3 obtained from the fragmented peptide mixture of protease with Q-star contained the b-ion series of 114.2, 171.2, 286.2, 357.2, 504.2, 667.4, 830.1, and 887.1 and y-ion series of 147.5, 204.2, 367.2, 530.3, 677.4, 748.4, 863.4, and 920.5. The sequence of analyzed peptide ion was identified as LGDAFYYG from the b- and y-ion series by de novo sequencing and corresponded to the results from the MALDI-TOF spectrum. From these results the extracellular protease from Bacillus subtilis KCCM 10257 was successfully identified with the lytic enzyme L27 from Bacillus subtilis 168.