SKINK: a web server for string kernel based kink prediction in α-helices
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Tim Seifert
- Andreas Lund
- Benny Kneissl
- Sabine C Mueller
- Christofer S Tautermann
- Andreas Hildebrandt
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000338109200058&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1093/bioinformatics/btu096
- eISSN
- 1460-2059
- Externe Identifier
- Clarivate Analytics Document Solution ID: AK0NF
- PubMed Identifier: 24532729
- ISSN
- 1367-4803
- Ausgabe der Veröffentlichung
- 12
- Zeitschrift
- BIOINFORMATICS
- Paginierung
- 1769 - 1770
- Datum der Veröffentlichung
- 2014
- Status
- Published
- Titel
- SKINK: a web server for string kernel based kink prediction in α-helices
- Sub types
- Article
- Proceedings Paper
- Ausgabe der Zeitschrift
- 30
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:title>Abstract</jats:title> <jats:p>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.</jats:p> <jats:p>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.</jats:p> <jats:p>Contact: benny.kneissl@roche.com</jats:p>
- Autoren
- Tim Seifert
- Andreas Lund
- Benny Kneissl
- Sabine C Mueller
- Christofer S Tautermann
- Andreas Hildebrandt
- DOI
- 10.1093/bioinformatics/btu096
- eISSN
- 1367-4811
- ISSN
- 1367-4803
- Ausgabe der Veröffentlichung
- 12
- Zeitschrift
- Bioinformatics
- Sprache
- en
- Online publication date
- 2014
- Paginierung
- 1769 - 1770
- Datum der Veröffentlichung
- 2014
- Status
- Published
- Herausgeber
- Oxford University Press (OUP)
- Herausgeber URL
- http://dx.doi.org/10.1093/bioinformatics/btu096
- Datum der Datenerfassung
- 2023
- Titel
- SKINK: a web server for string kernel based kink prediction in α-helices
- Ausgabe der Zeitschrift
- 30
Datenquelle: Crossref
- Abstract
- <h4>Motivation</h4>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.<h4>Availability and implementation</h4>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.
- Addresses
- Department 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.
- Autoren
- Tim Seifert
- Andreas Lund
- Benny Kneissl
- Sabine C Mueller
- Christofer S Tautermann
- Andreas Hildebrandt
- DOI
- 10.1093/bioinformatics/btu096
- eISSN
- 1367-4811
- Externe Identifier
- PubMed Identifier: 24532729
- Open access
- false
- ISSN
- 1367-4803
- Ausgabe der Veröffentlichung
- 12
- Zeitschrift
- Bioinformatics (Oxford, England)
- Schlüsselwörter
- Proteins
- Sequence Analysis, Protein
- Computational Biology
- Protein Structure, Secondary
- Internet
- Software
- Sprache
- eng
- Medium
- Print-Electronic
- Online publication date
- 2014
- Paginierung
- 1769 - 1770
- Datum der Veröffentlichung
- 2014
- Status
- Published
- Datum der Datenerfassung
- 2014
- Titel
- SKINK: a web server for string kernel based kink prediction in α-helices.
- Sub types
- Research Support, Non-U.S. Gov't
- Journal Article
- Ausgabe der Zeitschrift
- 30
Datenquelle: Europe PubMed Central
- 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.
- Autoren
- Tim Seifert
- Andreas Lund
- Benny Kneissl
- Sabine C Mueller
- Christofer S Tautermann
- Andreas Hildebrandt
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/24532729
- DOI
- 10.1093/bioinformatics/btu096
- eISSN
- 1367-4811
- Ausgabe der Veröffentlichung
- 12
- Zeitschrift
- Bioinformatics
- Schlüsselwörter
- Computational Biology
- Internet
- Protein Structure, Secondary
- Proteins
- Sequence Analysis, Protein
- Software
- Sprache
- eng
- Country
- England
- Paginierung
- 1769 - 1770
- PII
- btu096
- Datum der Veröffentlichung
- 2014
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2014
- Titel
- SKINK: a web server for string kernel based kink prediction in α-helices.
- Sub types
- Journal Article
- Research Support, Non-U.S. Gov't
- Ausgabe der Zeitschrift
- 30
Datenquelle: PubMed
- Autoren
- Tim Seifert
- Andreas Lund
- Benny Kneissl
- Sabine C Mueller
- Christofer S Tautermann
- Andreas Hildebrandt
- Zeitschrift
- Bioinformatics
- Artikelnummer
- 12
- Paginierung
- 1769 - 1770
- Datum der Veröffentlichung
- 2014
- Herausgeber
- Oxford University Press
- Datum der Datenerfassung
- 2020
- Titel
- SKINK: a web server for string kernel based kink prediction in α-helices
- Sub types
- article
- Ausgabe der Zeitschrift
- 30
Datenquelle: Manual
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