Abstract
It is shown that the extent of deviation of a molecular shape from spherical can be characterized by comparing the distribution of the circular variances, a measure originally proposed to quantify angular spread, of the vectors from each atom to the rest of the molecule to the circular variance of a collection of atoms filling the unit sphere. Different measures for quantifying the difference between distribution are proposed and compared.
Similar content being viewed by others
References
P.G. Mezey, Shape in Chemistry: An Introduction to Molecular Shape and Topology (VCH Publishers, New York, 1993)
D.S. Kim, J.K. Kim, C.I. Won, C.M. Kim, J.Y. Park, J. Bhak, Sphericity of a protein via the \(\beta \) – complex. J. Mol. Graph. Model. 28, 636–649 (2010)
J. Hass, P. Koehl, How round is a protein? Exploring protein structured for globularity using conformal mapping. Front. Mol. Biosci. 1, 1–11 (2014)
K.V. Mardia, P.E. Jupp, Directional Statistics (Wiley, Chichester, 2000)
M. Mezei, A new method for mapping macromolecular topography. J. Mol. Graph. Model. 21, 463–472 (2003)
M. Mezei, Statistical properties of protein–protein interfaces. Algorithms 8, 92–99 (2015)
E. Silla, F. Villar, O. Nilsson, J.L. Pascual-Ahuir, O. Tapia, Molecular volumes and surfaces of biomacromolecules via GEPOL: a fast and efficient algorithm. J. Mol. Graph. 8, 168–172 (1990)
Acknowledgments
Computational resources and staff expertise was provided by the Department of Scientific Computing at the Icahn School of Medicine at Mount Sinai. Prof. Patrice Koehl is thanked for providing the CATH533 database of protein domain structures used in testing.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Mezei, M. Use of circular variance to quantify the deviation of a macromolecule from the spherical shape. J Math Chem 53, 2184–2190 (2015). https://doi.org/10.1007/s10910-015-0540-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10910-015-0540-4