A Bayesian estimator of protein-protein association probabilities

Jason M Gilmore; Deanna L Auberry; Julia L Sharp; Amanda M White; Kevin K Anderson; Don S Daly

doi:10.1093/bioinformatics/btn238

A Bayesian estimator of protein-protein association probabilities

Bioinformatics. 2008 Jul 1;24(13):1554-5. doi: 10.1093/bioinformatics/btn238. Epub 2008 May 22.

Authors

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

Affiliation

¹ Pacific Northwest National Laboratory, Battelle Boulevard, Richland, WA 99352, USA.

PMID: 18499697
DOI: 10.1093/bioinformatics/btn238

Abstract

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.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Algorithms*
Bayes Theorem
Binding Sites
Data Interpretation, Statistical
Models, Statistical
Protein Binding
Protein Interaction Mapping / methods*
Proteins / chemistry*
Software*

Substances

Proteins