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dc.contributor.authorShin, Hsiang-Sheng
dc.contributor.authorHuang, Shih-Peng
dc.contributor.authorLin, Yaw-Ling
dc.date.accessioned2009-08-23T04:51:14Z
dc.date.accessioned2020-05-29T06:38:49Z-
dc.date.available2009-08-23T04:51:14Z
dc.date.available2020-05-29T06:38:49Z-
dc.date.issued2008-07-31T06:22:00Z
dc.date.submitted2007-12-20
dc.identifier.urihttp://dspace.fcu.edu.tw/handle/2377/10801-
dc.description.abstractProtein structure provides the opportunity to rec- ognize homology that is undetectable by sequence comparison, and it represents a powerful means of discovering functions, yielding direct insight into the molecular mechanisms. Currently, there are several techniques avail- able in attempting to ¯nd the optimal alignment of shared structural motifs between two proteins. In this paper, we show the e®ectiveness of the proposed re¯nement methods [11] by a set of ex- periments, which have improved some previous re- sults. We propose a better adaptive strategy to have better parameters, and we can get a better pairwise alignments of protein structures. We can apply this strategy to ¯nd more accurate and sim- ilar protein structure pairings.
dc.description.sponsorship亞洲大學資訊學院, 台中縣霧峰鄉
dc.format.extent11p.
dc.relation.ispartofseries2007 NCS會議
dc.subjectre¯nement
dc.subjectalignments and comparisons
dc.subjectstructural proteomics
dc.subjectpretest algorithm
dc.subject.otherProtein Structure and Medical Informatics
dc.titleParametric Searching Algorithms with Adaptive Strategy for Three Dimensional Protein Structures Alignments
分類:2007年 NCS 全國計算機會議

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