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Published on: January 26, 2024
SKINK: a web server for string kernel based kink prediction in α-helices
Tim Seifert1, Andreas Lund1, Benny Kneissl1
1Department of Software Engineering and Bioinformatics, Johannes Gutenberg University of Mainz, 55128 Mainz, Institute for Computer Science, Johann Wolfgang Goethe-University Frankfurt am Main, 60054 Frankfurt am Main, Data Science, Pharma Research and Early Development Informatics (pREDi), Roche Diagnostics GmbH, 82377 Penzberg, Department of Human Genetics, Saarland University Faculty of Medicine, 66421 Homburg and Lead Identification and Optimization Support, Boehringer-Ingelheim Pharma GmbH & Co. KG, 88397 Biberach, Germany.
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.
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