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A simplified approach to disulfide connectivity prediction from protein sequences

✍ Scribed by Marc Vincent; Andrea Passerini; Matthieu Labbé; Paolo Frasconi

Book ID
115001269
Publisher
BioMed Central
Year
2008
Tongue
English
Weight
287 KB
Volume
9
Category
Article
ISSN
1471-2105

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## Abstract To improve secondary structure predictions in protein sequences, the information residing in multiple sequence alignments of substituted but structurally related proteins is exploited. A database comprised of 70 protein families and a total of 2, 500 sequences, some of which were aligne