Pattern recognition methods for protein functional site prediction

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Pattern recognition methods for protein functional site prediction

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dc.contributor.author Yang, Zheng Rong
dc.contributor.author Wang, Lipo
dc.contributor.author Young, Natasha
dc.contributor.author Trudgian, Dave
dc.contributor.author Chou, Kuo-Chen
dc.date.accessioned 2012-05-22T03:00:42Z
dc.date.available 2012-05-22T03:00:42Z
dc.date.copyright 2005
dc.date.issued 2012-05-22
dc.identifier.citation Yang, Z. R., Wang, L., Young, N., Trudgian, D., & Chou, K. C. (2005). Pattern recognition methods for protein functional site prediction. Current Protein & Peptide Science, 6(5), 479-491.
dc.identifier.issn 1389-2037
dc.identifier.uri http://hdl.handle.net/10220/8109
dc.description.abstract Protein functional site prediction is closely related to drug design, hence to public health. In order to save the cost and the time spent on identifying the functional sites in sequenced proteins in biology laboratory, computer programs have been widely used for decades. Many of them are implemented using the state-of-the-art pattern recognition algorithms, including decision trees, neural networks and support vector machines. Although the success of this effort has been obvious, advanced and new algorithms are still under development for addressing some difficult issues. This review will go through the major stages in developing pattern recognition algorithms for protein functional site prediction and outline the future research directions in this important area.
dc.language.iso en
dc.relation.ispartofseries Current protein & peptide science
dc.rights © 2005 Bentham Science Publishers.
dc.subject DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
dc.title Pattern recognition methods for protein functional site prediction
dc.type Journal Article
dc.contributor.school School of Electrical and Electronic Engineering
dc.identifier.openurl http://www.benthamdirect.org/pages/content.php?CPPS/2005/00000006/00000005/0009K

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