International
Tables for Crystallography Volume F Crystallography of biological macromolecules Edited by M. G. Rossmann and E. Arnold © International Union of Crystallography 2006 |
International Tables for Crystallography (2006). Vol. F. ch. 22.1, p. 541
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The methods discussed above are computationally quite cumbersome, especially if they need to be repeated many times. Thus, they are not well suited to comparisons of many structures. They are also not well suited to the calculation of surface-area-dependent energy terms during dynamics simulation or energy minimization, which require the calculation of the derivatives of the surface area with respect to atomic position. It has been argued by several (including A. Nicholls and K. Sharp, personal communications) that simplifying approximations to the surface-area calculations are in order, because the common uses of surface area already embody crude ad hoc approximations, such as non-integer numbers of spherical solvent molecules.
In the treatments discussed earlier, the volume of the protein is (implicitly) described by a set of overlapping step functions that have a constant value if close enough to an atom, or zero if not. Several authors have replaced these step functions with continuous spherical Gaussian functions centred on each atom (Gerstein, 1992; Grant & Pickup, 1995) in treatments reminiscent of Ten Eyck's electron-density calculations (Ten Eyck, 1977). This speeds up the calculation and also facilitates the calculation of analytical derivatives of the surface area. A surface can be calculated for graphical display by contouring the continuous function at an appropriate threshold. The final envelope can be modified by using iterative procedures that fill cavities and crevices that are (nearly) surrounded by protein atoms (Gerstein, 1992).
References
Gerstein, M. (1992). A resolution-sensitive procedure for comparing surfaces and its application to the comparison of antigen-combining sites. Acta Cryst. A48, 271–276.Google ScholarGrant, J. A. & Pickup, B. T. (1995). A Gaussian description of molecular shape. J. Phys. Chem. 99, 3503–3510.Google Scholar
Ten Eyck, L. F. (1977). Efficient structure-factor calculation for large molecules by the fast Fourier transform. Acta Cryst. A33, 486–492.Google Scholar