Literature DB >> 26702193

Use of circular variance to quantify the deviation of a macromolecule from the spherical shape.

Mihaly Mezei1.   

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.

Entities:  

Keywords:  Sphericity; accessible surface; circular variance; moments

Year:  2015        PMID: 26702193      PMCID: PMC4684833          DOI: 10.1007/s10910-015-0540-4

Source DB:  PubMed          Journal:  J Math Chem        ISSN: 0259-9791            Impact factor:   2.357


  4 in total

1.  A new method for mapping macromolecular topography.

Authors:  Mihaly Mezei
Journal:  J Mol Graph Model       Date:  2003-03       Impact factor: 2.518

2.  Molecular volumes and surfaces of biomacromolecules via GEPOL: a fast and efficient algorithm.

Authors:  E Silla; F Villar; O Nilsson; J L Pascual-Ahuir; O Tapia
Journal:  J Mol Graph       Date:  1990-09

3.  Sphericity of a protein via the beta-complex.

Authors:  Deok-Soo Kim; Jae-Kwan Kim; Chung-In Won; Chong-Min Kim; Joon Young Park; Jong Bhak
Journal:  J Mol Graph Model       Date:  2010-01-15       Impact factor: 2.518

4.  How round is a protein? Exploring protein structures for globularity using conformal mapping.

Authors:  Joel Hass; Patrice Koehl
Journal:  Front Mol Biosci       Date:  2014-12-09
  4 in total
  1 in total

1.  Tools for Characterizing Proteins: Circular Variance, Mutual Proximity, Chameleon Sequences, and Subsequence Propensities.

Authors:  Mihaly Mezei
Journal:  Methods Mol Biol       Date:  2022
  1 in total

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