JSM 2005 Online Program

Abstract #302886

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	14
Type:	Topic Contributed
Date/Time:	Sunday, August 7, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #302886
Title:	Local Modeling of Global Interactome Networks
Author(s):	Denise Scholtens*+
Companies:	Northwestern University
Address:	680 N Lake Shore Drive Suite 1102, Chicago, IL, 60611, United States
Keywords:	protein-protein interactions ; graph theory
Abstract:	Accurate systems biology modeling requires a complete catalog of protein complexes and their constituent proteins. We discuss a graph-theoretic/statistical algorithm for local modeling of protein complexes in global interactive networks generated by affinity purification-mass spectrometry (AP-MS) data. The algorithm readily accommodates multicomplex membership by individual proteins and dynamic complex composition, two biological realities not accounted for in existing topological descriptions of the overall protein network. Complex identification based strictly on likelihood maximization tends to lead to overly granular models. We introduce a penalty term that incorporates the sensitivity and specificity of the AP-MS technology and the distribution of observed complex comemberships. Compared to current models, local models show higher overlap with known protein complexes and high-throughput physical interaction data. Joint analyses of protein complexes with other data, such as gene-expression profiles, promise salient insight into the systems of modular networks responsible for cellular activity.

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