Rediscovering secondary structures as network motifs--an unsupervised learning approach
نویسندگان
چکیده
منابع مشابه
Rediscovering secondary structures as network motifs - an unsupervised learning approach
MOTIVATION Secondary structures are key descriptors of a protein fold and its topology. In recent years, they facilitated intensive computational tasks for finding structural homologues, fold prediction and protein design. Their popularity stems from an appealing regularity in patterns of geometry and chemistry. However, the definition of secondary structures is of subjective nature. An unsuper...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2007
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btl290