title: Waggawagga: comparative visualization of coiled-coil predictions and detection of stable single α-helices (SAH domains).
abstract: Waggawagga is a web-based tool for the comparative visualization of coiled-coil predictions and the detection of stable single α-helices (SAH domains). Overview schemes show the predicted coiled-coil regions found in the query sequence and provide sliders, which can be used to select segments for detailed helical wheel and helical net views. A window-based score has been developed to predict SAH domains. Export to several bitmap and vector graphics formats is supported.
  
  
  METHODS
  http://waggawagga.motorprotein.de
authors.affiliation: Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany.
authors.forename: Dominic
authors.initials: D
authors.lastname: Simm
authors.affiliation: Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany.
authors.forename: Klas
authors.initials: K
authors.lastname: Hatje
authors.affiliation: Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany.
authors.forename: Martin
authors.initials: M
authors.lastname: Kollmar
mesh_terms: D000595:Amino Acid Sequence; D003196:Computer Graphics; D006801:Humans; D008969:Molecular Sequence Data; D009218:Myosins / Q000737:chemistry*; D017433:Protein Structure, Secondary; D012984:Software
chemical_list: D009218:Myosins