SKINK: a web server for string kernel based kink prediction in α-helices.

Seifert, Tim; Lund, Andreas; Kneissl, Benny; Mueller, Sabine C; Tautermann, Christofer S; Hildebrandt, Andreas · Bioinformatics · 2014

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Abstract

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. 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.

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