Waggawagga-CLI: A command-line tool for predicting stable single α-helices (SAH-domains), and the SAH-domain distribution across eukaryotes

Dominic Simm; Martin Kollmar

doi:10.1371/journal.pone.0191924

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Peer-reviewed

Research Article

Waggawagga-CLI: A command-line tool for predicting stable single α-helices (SAH-domains), and the SAH-domain distribution across eukaryotes

Dominic Simm,

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliations Group Systems Biology of Motor Proteins, Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany, Theoretical Computer Science and Algorithmic Methods, Institute of Computer Science, Georg-August-University Göttingen, Göttingen, Germany
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Martin Kollmar

Roles Conceptualization, Data curation, Investigation, Supervision, Validation, Visualization, Writing – original draft

* E-mail: mako@nmr.mpibpc.mpg.de

Affiliation Group Systems Biology of Motor Proteins, Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany

http://orcid.org/0000-0002-9768-1855

⨯

Waggawagga-CLI: A command-line tool for predicting stable single α-helices (SAH-domains), and the SAH-domain distribution across eukaryotes

Dominic Simm,
Martin Kollmar

Published: February 14, 2018
https://doi.org/10.1371/journal.pone.0191924

About the Authors

Dominic Simm

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliations Group Systems Biology of Motor Proteins, Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany, Theoretical Computer Science and Algorithmic Methods, Institute of Computer Science, Georg-August-University Göttingen, Göttingen, Germany

Martin Kollmar

Roles Conceptualization, Data curation, Investigation, Supervision, Validation, Visualization, Writing – original draft

* E-mail: mako@nmr.mpibpc.mpg.de

Affiliation Group Systems Biology of Motor Proteins, Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany

http://orcid.org/0000-0002-9768-1855

Competing Interests

The authors have declared that no competing interests exist.

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Amino acid analysis
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Eukaryota
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Protein sequencing
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Saccharomyces cerevisiae
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Motor proteins
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Gene ontologies
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Amino acid sequence analysis
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Protein domains
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