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      An amino acid has two sides: a new 2D measure provides a different view of solvent exposure.

        1
      Proteins
      Wiley

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          Abstract

          The concept of amino acid solvent exposure is crucial for understanding and predicting various aspects of protein structure and function. The traditional measures of solvent exposure however suffer from various shortcomings, like for example the inability to distinguish exposed, partly exposed, buried, and deeply buried residues. This article introduces a new measure of solvent exposure called Half-Sphere Exposure that addresses many of the shortcomings of other methods. The new measure outperforms other measures with respect to correlation with protein stability, conservation among fold homologs, amino acid-type dependency and interpretation. The measure consists of the number of Calpha atoms in two half spheres around a residue's Calpha atom. Conceptually, one of the half spheres corresponds to the side chain's neighborhood, the other half sphere being in the opposite direction. We show here that the two half spheres correspond to two regions around an amino acid that are surprisingly distinct in terms of geometry and energy. This aspect of protein structure introduced here forms the basis of the Half-Sphere Exposure measure. The results strongly suggest that in many respects, a 2D measure is inherently much better suited to describe solvent exposure than the traditional 1D measures. Importantly, Half-Sphere Exposure can be calculated from the Calpha atom coordinates only, which abolishes the need for a full-atom model to calculate solvent exposure. Hence, the measure can be used in protein structure prediction methods that are based on various simplified models. Half-Sphere Exposure has great potential for use in protein structure prediction and analysis.

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          Author and article information

          Journal
          Proteins
          Proteins
          Wiley
          1097-0134
          0887-3585
          Apr 01 2005
          : 59
          : 1
          Affiliations
          [1 ] Bioinformatics Center, University of Copenhagen, Copenhagen, Denmark. thamelry@binf.ku.dk <thamelry@binf.ku.dk>
          Article
          10.1002/prot.20379
          15688434
          009aa473-84e8-4c16-b914-c31b784eabaa
          (c) 2005 Wiley-Liss, Inc.
          History

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