In:
Bioinformatics, Oxford University Press (OUP), Vol. 30, No. 12 ( 2014-06-15), p. 1769-1770
Abstract:
Motivation: The reasons for distortions from optimal α-helical geometry are widely unknown, but their influences on structural changes of proteins are significant. Hence, their prediction is a crucial problem in structural bioinformatics. Here, we present a new web server, called SKINK, for string kernel based kink prediction. Extending our previous study, we also annotate the most probable kink position in a given α-helix sequence. Availability and implementation: The SKINK web server is freely accessible at http://biows-inf.zdv.uni-mainz.de/skink. Moreover, SKINK is a module of the BALL software, also freely available at www.ballview.org. Contact: benny.kneissl@roche.com
Type of Medium:
Online Resource
ISSN:
1367-4811
,
1367-4803
DOI:
10.1093/bioinformatics/btu096
Language:
English
Publisher:
Oxford University Press (OUP)
Publication Date:
2014
detail.hit.zdb_id:
1468345-3
SSG:
12
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