An advanced method for identifying protein-protein interaction by analyzing TAP/MS data

Author

Sun, Xiaoyun ; Hong, Pengyu ; Kulkarni, Meghana ; Kwon, Young ; Perrimon, Norbert

Author_Institution

Dept. of Comput. Sci., Brandeis Univ., Waltham, MA, USA

fYear

2012

fDate

4-7 Oct. 2012

Firstpage

1

Lastpage

6

Abstract

Tandem affinity purification coupled with mass-spectrometry (TAP/MS) analysis has been increasingly used to identify novel endogenous protein-protein interactions (PPIs) in a high-throughput manner. Computational analysis of TAP/MS data is critical, however, and remains challenging because of the noisy nature of the data. We developed an advanced method for identifying PPIs from TAP/MS data. Our approach APPIC, which stands for Advanced Protein-Protein Interactions Capturing, incorporates an improved statistical method and is more powerful than existing tools.

Keywords

biochemistry; bioinformatics; mass spectroscopy; molecular biophysics; proteins; statistical analysis; TAP-MS data; advanced method; computational analysis; high-throughput manner; improved statistical method; noisy nature; protein-protein interaction; tandem affinity purification coupling; Insulin; Noise; Peptides; Protein engineering; Proteins; Purification; APPIC; PPIs; Spectral Counts; TAP/MS;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on

Conference_Location

Philadelphia, PA

Print_ISBN

978-1-4673-2559-2

Electronic_ISBN

978-1-4673-2558-5

Type

conf

DOI

10.1109/BIBM.2012.6392678

Filename

6392678