Literature DB >> 18499697

A Bayesian estimator of protein-protein association probabilities.

Jason M Gilmore1, Deanna L Auberry, Julia L Sharp, Amanda M White, Kevin K Anderson, Don S Daly.   

Abstract

UNLABELLED: The Bayesian Estimator of Protein-Protein Association Probabilities (BEPro aff3) is a software tool for estimating probabilities of protein-protein association between bait and prey protein pairs using data from multiple-bait, multiple-replicate, protein liquid chromatography tandem mass spectrometry LC-MS/MS affinity isolation experiments. AVAILABILITY: BEPro (3) is public domain software, has been tested on WIndows XP, Linux and Mac OS, and is freely available from http://www.pnl.gov/statistics/BEPro3. SUPPLEMENTARY INFORMATION: A user guide, example dataset with analysis and additional documentation are included with the BEPro (3) download.

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Year:  2008        PMID: 18499697     DOI: 10.1093/bioinformatics/btn238

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  3 in total

1.  Defining elastic fiber interactions by molecular fishing: an affinity purification and mass spectrometry approach.

Authors:  Stuart A Cain; Amanda McGovern; Elaine Small; Lyle J Ward; Clair Baldock; Adrian Shuttleworth; Cay M Kielty
Journal:  Mol Cell Proteomics       Date:  2009-09-15       Impact factor: 5.911

2.  Predicting direct protein interactions from affinity purification mass spectrometry data.

Authors:  Ethan Dh Kim; Ashish Sabharwal; Adrian R Vetta; Mathieu Blanchette
Journal:  Algorithms Mol Biol       Date:  2010-10-29       Impact factor: 1.405

3.  Partner-aware prediction of interacting residues in protein-protein complexes from sequence data.

Authors:  Shandar Ahmad; Kenji Mizuguchi
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

  3 in total

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