Probabilistic alignment of motifs with sequences | Zendy

Pedro Gonnet | Zendy; Frédérique Lisacek | Zendy

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Probabilistic alignment of motifs with sequences

Author(s) -

Pedro Gonnet,

Frédérique Lisacek

Publication year - 2002

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/18.8.1091

Subject(s) - probabilistic logic , computer science , computational biology , artificial intelligence , pattern recognition (psychology) , biology

Motif detection is an important component of the classification and annotation of protein sequences. A method for aligning motifs with an amino acid sequence is introduced. The motifs can be described by the secondary (i.e. functional, biophysical, etc.) characteristics of a signal or pattern to be detected. The results produced are based on the statistical relevance of the alignment. The method was targeted to avoid the problems (i.e. over-fitting, biological interpretation and mathematical soundness) encountered in other methods currently available.

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