Determination of Mean and Standard Deviation
of Dihedral Angles
Rold Do ¨ker,* Till Maurer,* Werner Kremer,* K.-P. Neidig,† and Hans Robert Kalbitzer*
,1
*Institut fu ¨ r Biophysik und Physikalische Biochemie, Universita ¨ t Regensburg, D-93040 Regensburg; and
†Software Department, Bruker Analytik GmbH, D-76275 Ettlingen, Germany
Received February 23, 1999
Backbone torsional angles are a characteristic and
useful parameter for the description and characteri-
sation of protein structures determined by x-ray crys-
tallography or NMR spectroscopy. For the comparison
of an ensemble of three-dimensional structures the
calculation of the statistical parameters mean and
standard deviation would be very useful. However,
they are not defined unambiguously for periodic quan-
tities such as the dihedral angles. In this paper a plau-
sible and unique definition of these parameters is in-
troduced and a straightforward method for their
calculation is given. © 1999 Academic Press
Key Words: backbone; protein structure; statistical
treatment of angles/cyclic quantities; structure com-
parison; torsion angles.
Backbone torsion-angles are very useful for charac-
terising protein structures and for assessing their
qualities (1). If the bond lengths and bond angles are
known, the secondary structure is determined only by
the dihedral angles. If structures determined by NMR
spectroscopy or x-ray crystallography are to be com-
pared, these angles are of particular interest. On the
one hand they allow the definition of one single struc-
ture independent of its cartesian coordinates. On the
other hand, an ensemble of structures calculated from
NMR distance data can be further judged with the help
of mean values and standard deviations of the torsion
angles. Finally, homologous proteins can be compared
in terms of their structural similarity and where along
their sequence of amino acids they differ. The standard
deviation of the torsion angles is a measure for these
properties. However, because of the cyclic nature of the
angles, the definitions normally used for non-cyclic
quantities do not give unique values. These depend on
the choice of the origin of the reference system and the
range of values allowed (e. g. -180°/180° or 0°/360°). To
overcome the problem Hyberts suggested the use of an
order parameter S which can be taken as a measure for
the variance of a set of N angles (2). In order to get S,
the angles are regarded as vectors on the unit circle.
They are added, and the result is divided by N. The
length of the resulting vector is the parameter S with
0 S 1. However, S is only related in a complicated
way to the variance and does not allow the calculation
of a mean value. Since in our knowledge, a unique way
to calculate mean and variance of a set of angles has
not been published yet (although ‘trivial’ calculation
routines exist in some software packages), we present
here a method for their calculation with properties as
close as possible to these quantities when calculated
for non-cyclic quantities.
METHODS
The program CYCLIST for calculating the circular mean and circular
standard deviation s
c
of angles is written in C and is available from the
authors. It will also be implemented in the program package AURELIA
(3) which can be obtained from Bruker, Karlsruhe. As input file the
program CYCLIST requires a list of dihedral angles which can be
calculated by AURELIA or entered manually. The three-dimensional
NMR structures of HPr (Histidine-Containing Phosphocarrier Protein)
from S. aureus (4), E. coli (5), and B. subtilis (6) were taken from the
Brookhaven protein data base.
RESULTS AND DISCUSSION
In principle the mean x and standard deviation s of
a sample of N angles x
i
can be calculated by using the
general definitions
x =
1
N
i=1
N
x
i
[1]
and
s =
¥
i=1
N
x
i
- x
2
N
. [2]
1
To whom correspondence should be addressed. Fax: ++49 941/
943-2479. E-mail: hans-robert.kalbitzer@biologie.uni-regensburg.de.
Biochemical and Biophysical Research Communications 257, 348 –350 (1999)
Article ID bbrc.1999.0462, available online at http://www.idealibrary.com on
348 0006-291X/99 $30.00
Copyright © 1999 by Academic Press
All rights of reproduction in any form reserved.