Literature DB >> 10857624

ProFound: an expert system for protein identification using mass spectrometric peptide mapping information.

W Zhang1, B T Chait.   

Abstract

We describe the protein search engine "ProFound", which employs a Bayesian algorithm to identify proteins from protein databases using mass spectrometric peptide mapping data. The algorithm ranks protein candidates by taking into account individual properties of each protein in the database as well as other information relevant to the peptide mapping experiment. The program consistently identifies the correct protein(s) even when the data quality is relatively low or when the sample consists of a simple mixture of proteins. Illustrative examples of protein identifications are provided.

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Year:  2000        PMID: 10857624     DOI: 10.1021/ac991363o

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  119 in total

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3.  Improved methodology for the affinity isolation of human protein complexes expressed at near endogenous levels.

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4.  A proteomic approach for the analysis of instantly released wound and immune proteins in Drosophila melanogaster hemolymph.

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5.  In-depth analysis of the thylakoid membrane proteome of Arabidopsis thaliana chloroplasts: new proteins, new functions, and a plastid proteome database.

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6.  Genome-based peptide fingerprint scanning.

Authors:  Michael C Giddings; Atul A Shah; Ray Gesteland; Barry Moore
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7.  Protein identification: the origins of peptide mass fingerprinting.

Authors:  William J Henzel; Colin Watanabe; John T Stults
Journal:  J Am Soc Mass Spectrom       Date:  2003-09       Impact factor: 3.109

8.  Identification of 2D-gel proteins: a comparison of MALDI/TOF peptide mass mapping to mu LC-ESI tandem mass spectrometry.

Authors:  Hanjo Lim; Jimmy Eng; John R Yates; Sandra L Tollaksen; Carol S Giometti; James F Holden; Michael W W Adams; Claudia I Reich; Gary J Olsen; Lara G Hays
Journal:  J Am Soc Mass Spectrom       Date:  2003-09       Impact factor: 3.109

9.  Identification of proteomic differences between squamous cell carcinoma of the lung and bronchial epithelium.

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Journal:  Mol Cell Proteomics       Date:  2009-01-27       Impact factor: 5.911

Review 10.  Integrating omics technologies to study pulmonary physiology and pathology at the systems level.

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Journal:  Cell Physiol Biochem       Date:  2014-04-28
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