title: In unison: regularization of protein secondary structure predictions that makes use of multiple sequence alignments.
abstract: We present a method whose purpose is to post-process the fuzzy results of secondary structure prediction methods that use multiple sequence alignments, in order to obtain 'realistic' secondary structures, i.e., secondary structure elements whose length is greater than or equal to some predefined minimum length. This regularization helps with interpretation of the secondary structure prediction.
authors.affiliation: Unité de Bio-Informatique, INRA, Jouy-en-Josas, France.
authors.forename: K
authors.initials: K
authors.lastname: Zimmermann
authors.forename: J F
authors.initials: JF
authors.lastname: Gibrat
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D000818:Animals; D016384:Consensus Sequence; D006224:Cricetinae; D008969:Molecular Sequence Data; D011328:Prions / Q000737:chemistry; D017433:Protein Structure, Secondary; D012680:Sensitivity and Specificity; D016415:Sequence Alignment; D012984:Software
chemical_list: D011328:Prions