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Comparison of Search Engine Contributions in Protein Mass Fingerprinting for Protein Identification
Peptide mass fingerprinting (PMF) is a valuable method for rapid and high-throughput protein identification using the proteomics approach. Automated search engines, such as Ms-Fit, Mascot, ProFound, and Peptldent, have facilitated protein identification through PMF. The potential to obtain a true MS...
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| Published in: | Biotechnology and bioprocess engineering 2007-04, Vol.12 (2), p.125-130 |
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| Main Authors: | , , , , , |
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| cites | cdi_FETCH-LOGICAL-c312t-f5973135d5aee8a7a6293edf75d8739c172c4eedce2a7843d025ab237711b4573 |
| container_end_page | 130 |
| container_issue | 2 |
| container_start_page | 125 |
| container_title | Biotechnology and bioprocess engineering |
| container_volume | 12 |
| creator | Joo, W.A. (Korea University, Seoul, Republic of Korea) Lee, J.B. (Korea University, Seoul, Republic of Korea) Park, M.R. (Eulji University, Daejeon, Republic of Korea) Lee, J.W. (Korea University, Seoul, Republic of Korea) Kim, H.J. (Korea University, Seoul, Republic of Korea) Kim, C.W. (Korea University, Seoul, Republic of Korea), E-mail: cwkim@korea.ac.kr |
| description | Peptide mass fingerprinting (PMF) is a valuable method for rapid and high-throughput protein identification using the proteomics approach. Automated search engines, such as Ms-Fit, Mascot, ProFound, and Peptldent, have facilitated protein identification through PMF. The potential to obtain a true MS protein identification result depends on the choice of algorithm as well as experimental factors that influence the information content in MS data. When mass spectral data are incomplete and/or have low mass accuracy, the "number of matches" approach may be inadequate for a useful identification. |
| doi_str_mv | 10.1007/BF03028637 |
| format | article |
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(Korea University, Seoul, Republic of Korea) ; Lee, J.B. (Korea University, Seoul, Republic of Korea) ; Park, M.R. (Eulji University, Daejeon, Republic of Korea) ; Lee, J.W. (Korea University, Seoul, Republic of Korea) ; Kim, H.J. (Korea University, Seoul, Republic of Korea) ; Kim, C.W. (Korea University, Seoul, Republic of Korea), E-mail: cwkim@korea.ac.kr</creator><creatorcontrib>Joo, W.A. (Korea University, Seoul, Republic of Korea) ; Lee, J.B. (Korea University, Seoul, Republic of Korea) ; Park, M.R. (Eulji University, Daejeon, Republic of Korea) ; Lee, J.W. (Korea University, Seoul, Republic of Korea) ; Kim, H.J. (Korea University, Seoul, Republic of Korea) ; Kim, C.W. (Korea University, Seoul, Republic of Korea), E-mail: cwkim@korea.ac.kr</creatorcontrib><description>Peptide mass fingerprinting (PMF) is a valuable method for rapid and high-throughput protein identification using the proteomics approach. 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When mass spectral data are incomplete and/or have low mass accuracy, the "number of matches" approach may be inadequate for a useful identification.</description><identifier>ISSN: 1226-8372</identifier><identifier>EISSN: 1976-3816</identifier><identifier>DOI: 10.1007/BF03028637</identifier><language>eng</language><publisher>Dordrecht: Springer Nature B.V</publisher><subject>Algorithms ; Contaminants ; Data processing ; Identification ; Ions ; Keratin ; MALDI-TOF MS ; Mass spectrometry ; Mass spectroscopy ; Peptide mapping ; peptide mass fingerprinting ; Peptides ; PROTEINAS ; PROTEINE ; PROTEINS ; proteomics ; Search engines ; searching engine ; selectivity ; sensibility</subject><ispartof>Biotechnology and bioprocess engineering, 2007-04, Vol.12 (2), p.125-130</ispartof><rights>The Korean Society for Biotechnology and Bioengineering 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c312t-f5973135d5aee8a7a6293edf75d8739c172c4eedce2a7843d025ab237711b4573</citedby><cites>FETCH-LOGICAL-c312t-f5973135d5aee8a7a6293edf75d8739c172c4eedce2a7843d025ab237711b4573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/229413241/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/229413241?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,36061,44363,74895</link.rule.ids></links><search><creatorcontrib>Joo, W.A. 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(Korea University, Seoul, Republic of Korea) ; Lee, J.B. (Korea University, Seoul, Republic of Korea) ; Park, M.R. (Eulji University, Daejeon, Republic of Korea) ; Lee, J.W. (Korea University, Seoul, Republic of Korea) ; Kim, H.J. (Korea University, Seoul, Republic of Korea) ; Kim, C.W. 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| ispartof | Biotechnology and bioprocess engineering, 2007-04, Vol.12 (2), p.125-130 |
| issn | 1226-8372 1976-3816 |
| language | eng |
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| source | ABI/INFORM Global; Springer Link |
| subjects | Algorithms Contaminants Data processing Identification Ions Keratin MALDI-TOF MS Mass spectrometry Mass spectroscopy Peptide mapping peptide mass fingerprinting Peptides PROTEINAS PROTEINE PROTEINS proteomics Search engines searching engine selectivity sensibility |
| title | Comparison of Search Engine Contributions in Protein Mass Fingerprinting for Protein Identification |
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