Please use this identifier to cite or link to this item: https://doi.org/10.1504/IJDMB.2007.012966
DC FieldValue
dc.titleA Merge-Decoupling Dead End Elimination algorithm for protein side-chain conformation
dc.contributor.authorChong, K.F.
dc.contributor.authorLeong, H.W.
dc.date.accessioned2013-07-04T07:43:37Z
dc.date.available2013-07-04T07:43:37Z
dc.date.issued2007
dc.identifier.citationChong, K.F., Leong, H.W. (2007). A Merge-Decoupling Dead End Elimination algorithm for protein side-chain conformation. International Journal of Data Mining and Bioinformatics 1 (4) : 372-388. ScholarBank@NUS Repository. https://doi.org/10.1504/IJDMB.2007.012966
dc.identifier.issn17485673
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39527
dc.description.abstractDead End Elimination (DEE) is a technique for eliminating rotamers that can not exist in any global minimum energy configuration for the protein side chain conformation problem. A popular method is Simple Goldstein DEE (SG-DEE) which is fast and eliminates rotamers by considering single residues for possible elimination. We present a Merge-Decoupling DEE (MD-DEE) that further reduces the number of rotamers after SG-DEE. MD-DEE works by forming residue-pairs but is fast and, like SG-DEE, is practical even for large proteins. Our experiments show that MD-DEE achieves further reduction in residue elimination (up to 25%) after SG-DEE. Copyright © 2007 Inderscience Enterprises Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1504/IJDMB.2007.012966
dc.sourceScopus
dc.subjectBioinformatics
dc.subjectData mining
dc.subjectDead end elimination
dc.subjectDEE
dc.subjectMerge-decoupling algorithm
dc.subjectProtein side-chain conformation prediction
dc.subjectSCCP
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1504/IJDMB.2007.012966
dc.description.sourcetitleInternational Journal of Data Mining and Bioinformatics
dc.description.volume1
dc.description.issue4
dc.description.page372-388
dc.identifier.isiut000248175500004
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