Dresden 2009 – wissenschaftliches Programm
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SYCS: Symposium Data Analysis in Complex Systems
SYCS 1: Data Analysis in Complex Systems: From Data to Models
SYCS 1.3: Hauptvortrag
Freitag, 27. März 2009, 11:30–12:00, BAR SCHÖ
From genetic variability between species to the inference of protein-protein interactions — •Martin Weigt1, 2, Robert A. White2, Hendrik Szurmant3, James A. Hoch3, and Terrence Hwa2 — 1Institute for Scientific Interchange, Turin — 2Center for Theoretical Biological Physics, UC San Diego — 3The Scripps Research Institute, La Jolla
The large majority of cellular functions are executed by interacting proteins. Their concerted specific interactions regulate the interplay of biochemical processes that are the essence of life. Many protein interactions are transient, allowing proteins to mate with several partners or travel in cellular space in order to perform their functions. Understanding these interactions is an outstanding challenges in systems biology.
Experimental approaches to identify surfaces of interaction between proteins are arduous and/or serendipitous. However, the availability of large protein databases generated from sequences of hundreds of bacterial genomes enables various statistical approaches to this problem. We propose a novel global inference approach based on the cavity method developed in the statistical physics of disordered systems. Applied to over 6900 representatives of the bacterial two-component signaling system, this method successfully and robustly identifies residue pairs that are proximal in space without resorting to ad hoc tuning parameters. This output is used to predict in-silico co-crystal structures. Further more, the method allows the accurate identification of new interacting protein partners.