Computing a new family of shape descriptors for protein structures

Peter Røgen; Robert Sinclair

Computing a new family of shape descriptors for protein structures

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

The large-scale 3D structure of a protein can be represented by the polygonal curve through the carbon a atoms of the protein backbone. We introduce an algorithm for computing the average number of times that a given configuration of crossings on such polygonal curves is seen, the average being taken over all directions in space. Hereby, we introduce a new family of global geometric measures of protein structures, which we compare with the so-called generalized Gauss integrals.

Original language	English
Journal	Journal of Chemical Information and Computer Sciences
Volume	43
Issue number	6
Pages (from-to)	1740-1747
ISSN	0095-2338
Publication status	Published - 2003

OpenUrl availability

Full text

Cite this

@article{79acf62eb5eb49ebaa3d707226f8dd1a,

title = "Computing a new family of shape descriptors for protein structures",

abstract = "The large-scale 3D structure of a protein can be represented by the polygonal curve through the carbon a atoms of the protein backbone. We introduce an algorithm for computing the average number of times that a given configuration of crossings on such polygonal curves is seen, the average being taken over all directions in space. Hereby, we introduce a new family of global geometric measures of protein structures, which we compare with the so-called generalized Gauss integrals.",

author = "Peter R{\o}gen and Robert Sinclair",

year = "2003",

language = "English",

volume = "43",

pages = "1740--1747",

journal = "Journal of Chemical Information and Computer Sciences",

issn = "0095-2338",

number = "6",

}

TY - JOUR

T1 - Computing a new family of shape descriptors for protein structures

AU - Røgen, Peter

AU - Sinclair, Robert

PY - 2003

Y1 - 2003

N2 - The large-scale 3D structure of a protein can be represented by the polygonal curve through the carbon a atoms of the protein backbone. We introduce an algorithm for computing the average number of times that a given configuration of crossings on such polygonal curves is seen, the average being taken over all directions in space. Hereby, we introduce a new family of global geometric measures of protein structures, which we compare with the so-called generalized Gauss integrals.

AB - The large-scale 3D structure of a protein can be represented by the polygonal curve through the carbon a atoms of the protein backbone. We introduce an algorithm for computing the average number of times that a given configuration of crossings on such polygonal curves is seen, the average being taken over all directions in space. Hereby, we introduce a new family of global geometric measures of protein structures, which we compare with the so-called generalized Gauss integrals.

M3 - Journal article

SN - 0095-2338

VL - 43

SP - 1740

EP - 1747

JO - Journal of Chemical Information and Computer Sciences

JF - Journal of Chemical Information and Computer Sciences

IS - 6

ER -