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(The FASEB Journal. 2008;22:811.5)
© 2008 FASEB
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(The FASEB Journal. 2008;22:811.5.)
© 2008 FASEB


811.5

Computational identification of novel peripheral protein-membrane interactions

Irina Kufareva1, Felician Dancea2, Mahadev Ravi Kiran2, Zinaida Polonskaya1, Michael Overduin2 and Ruben Abagyan1

1 Molecular Biology, The Scripps Research Institute, La Jolla, CA
2 CR-UK Institute of Cancer Studies, University of Birmingham, Birmingham, United Kingdom

ABSTRACT

Soluble proteins are recruited to membranes in many cellular processes. The information about the ability of a protein to transiently interact with the bilayer often helps understanding its function. However, obtaining such information experimentally is costly and complicated.

In this study, we present a fast computational method for detecting potential peripheral membrane proteins and their individual membrane-inserting residues. The method relies on 3D structure alone and does not refer to homology with known membrane-targeting modules. It is based on the analysis of protein surface curvature and statistical membrane propensities of the chemical groups.

Using the method, we screened a set of 521 medium-size protein domains with known X-ray structures and residue chemical shift assignments. We identified four novel transient membrane binders: plant acetyltransferase AT1G, bacterial methionine sulfoxide reductase, human ARF-1, and human von Willebrand factor. Bilayer interaction of these proteins was assessed by monitoring chemical shift changes in their 1H,15N HSQC spectra upon micelle addition. Based on the obtained per-residue data, membrane docking position of each domain was determined by rigid-body Monte Carlo optimization in a membrane/solvent boundary map. Analysis of the obtained positions proved the validity of our prediction.

This work was supported by NIH grant 5-R01-GM071872-02.





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