Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/146365
DC FieldValue
dc.titleRetrieval of 3D protein structures
dc.contributor.authorChen S.-C.
dc.contributor.authorChen T.
dc.date.accessioned2018-08-21T05:11:35Z
dc.date.available2018-08-21T05:11:35Z
dc.date.issued2002
dc.identifier.citationChen S.-C., Chen T. (2002). Retrieval of 3D protein structures. IEEE International Conference on Image Processing 3 : III/933-III/936. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/146365
dc.description.abstractA protein molecule is made of a long chain of amino acid sequences that fold into a complex three-dimensional structure. It is often the geometrical shapes that determine the protein functions. In molecular biology, researchers use sequence alignment and structure matching to compare the similarity among proteins. Considering proteins as 3D structures, we propose a novel algorithm to identify geometry-based features to retrieve similar proteins without having to deal with complex chemical characteristics and biological properties. A web-based Dali server, which performs well in three-dimensional structure matching, is used as the ground truth to evaluate our algorithm. Our system performs close to the ground truth with much simplicity and efficiency.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentOFFICE OF THE PROVOST
dc.contributor.departmentDEPARTMENT OF COMPUTER SCIENCE
dc.description.sourcetitleIEEE International Conference on Image Processing
dc.description.volume3
dc.description.pageIII/933-III/936
dc.description.coden85QTA
dc.published.statepublished
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