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Enhanced performance in prediction of protein active sites with THEMATICS and support vector machines

โœ Scribed by Wenxu Tong; Ronald J. Williams; Ying Wei; Leonel F. Murga; Jaeju Ko; Mary Jo Ondrechen


Book ID
111753116
Publisher
Cold Spring Harbor Laboratory Press
Year
2008
Tongue
English
Weight
250 KB
Volume
17
Category
Article
ISSN
0961-8368

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Computational methods can be used to predict the effects of single amino acid substitutions (single-point mutations). In contrast to previous methods that need many protein sequence and structural features, we applied support vector machines (SVMs) to predict protein function changes associated with