DocumentCode :
583254
Title :
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
Link To Document :
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