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Prediction of protease substrates using sequence and structure features

โœ Scribed by Barkan, D. T.; Hostetter, D. R.; Mahrus, S.; Pieper, U.; Wells, J. A.; Craik, C. S.; Sali, A.

Book ID
119968521
Publisher
Oxford University Press
Year
2010
Tongue
English
Weight
945 KB
Volume
26
Category
Article
ISSN
1367-4803

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## Abstract Protein structural class prediction solely from protein sequences is a challenging problem in bioinformatics. Numerous efficient methods have been proposed for protein structural class prediction, but challenges remain. Using novel combined sequence information coupled with predicted se