Please use this identifier to cite or link to this item: http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/121
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dc.contributor.advisorMagboo, Vincent Peter C.-
dc.contributor.authorSolis, Anna Lisa R.-
dc.date.accessioned2015-07-28T05:53:45Z-
dc.date.available2015-07-28T05:53:45Z-
dc.date.issued2006-04-
dc.identifier.urihttp://cas.upm.edu.ph:8080/xmlui/handle/123456789/121-
dc.description.abstractWith protein sequences entering into databanks at an explosive pace, the early determination of the family or subfamily class for a newly found enzyme molecule becomes important because this is directly related to the detailed information about which specific target it acts on, as well as to its catalytic process and biological function. Unfortunately, it is both time-consuming and costly to do so by experiments alone. The Enzyme Subfamily Class Prediction Application with Tutorial Module aims to incorporate the sequence-order effects into the predictor using the ‘amphiphilic pseudo amino acid composition’ to represent the enzyme. The subfamily where a query enzyme belongs is determined using the augmented covariant-discriminant algorithm. Also, the Tutorial Module provides lectures and self-tests to assist the users in understanding the concepts behind obtaining the ‘amphiphilic pseudo amino acid composition’ of an enzyme and the augmented covariant-discriminant algorithm.en_US
dc.language.isoenen_US
dc.subjectenzymeen_US
dc.subjectamino aciden_US
dc.subjectamphiphilicen_US
dc.subjectcovarianceen_US
dc.titleAn Online Enzyme Subfamily Class Prediction Application with Tutorial Moduleen_US
dc.typeThesisen_US
Appears in Collections:Computer Science SP

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