Volume 66, Issue 3 p. 621-629
Research Article

A topologically related singularity suggests a maximum preferred size for protein domains

Joseph P. Zbilut,

Corresponding Author

Department of Molecular Biophysics and Physiology, Rush University Medical Center, Chicago, Illinois 60612

Department of Molecular Biophysics and Physiology, 1229 Jelke, Rush University Medical Center, 1653 W. Congress Parkway, Chicago, IL 60612===Search for more papers by this author
Gek Huey Chua,

Department of Biochemistry, National University of Singapore, Singapore 117597

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Arun Krishnan,

Institute for Advanced Biosciences, Keio University, Tsuruoka-shi, Yamagata 997-0035, Japan

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Cecilia Bossa,

Department of Environment and Health, Istituto Superiore di Sanitá, Viale Regina Elena 299, 00161 Roma, Italy

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Kristian Rother,

Humboldt Universität Berlin, Institut für Biochemie an der Charite, Monbijoustrasse 2, 10117 Berlin, Germany

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Charles L. Webber Jr.,

Department of Physiology, Loyola University Medical Center, Maywood, Illinois 60153

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Alessandro Giuliani,

Department of Environment and Health, Istituto Superiore di Sanitá, Viale Regina Elena 299, 00161 Roma, Italy

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First published: 11 December 2006
Citations: 5

Abstract

A variety of protein physicochemical as well as topological properties, demonstrate a scaling behavior relative to chain length. Many of the scalings can be modeled as a power law which is qualitatively similar across the examples. In this article, we suggest a rational explanation to these observations on the basis of both protein connectivity and hydrophobic constraints of residues compactness relative to surface volume. Unexpectedly, in an examination of these relationships, a singularity was shown to exist near 255–270 residues length, and may be associated with an upper limit for domain size. Evaluation of related G-factor data points to a wide range of conformational plasticity near this point. In addition to its theoretical importance, we show by an application of CASP experimental and predicted structures, that the scaling is a practical filter for protein structure prediction. Proteins 2007. © 2006 Wiley-Liss, Inc.

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