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BetaVoid: Molecular voids via beta-complexes and Voronoi diagrams

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dc.contributor.authorKim, Jae-Kwan-
dc.contributor.authorCho, Youngsong-
dc.contributor.authorLaskowski, Roman A.-
dc.contributor.authorRyu, Seong Eon-
dc.contributor.authorSugihara, Kokichi-
dc.contributor.authorKim, Deok-Soo-
dc.date.accessioned2022-07-16T03:09:00Z-
dc.date.available2022-07-16T03:09:00Z-
dc.date.created2021-05-12-
dc.date.issued2014-09-
dc.identifier.issn0887-3585-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/159216-
dc.description.abstractMolecular external structure is important for molecular function, with voids on the surface and interior being one of the most important features. Hence, recognition of molecualr voids and accurate computation of their geometrical properties, surhc as volume, area and topology, are crucial, yet most popular algorithms are based on the crude use of sampling points and thus are approximations even with a significant amount of computation. In this article, we propose an analytic approach to the problem using the Voronoi diagram of atoms and the beta-complex. The correctness and efficiency of the proposed algorithm is mathematically proved and experimentally verified. The benchmark test clearly shows the superiority of BetaVoid to two popular programs: VOIDOO and CASTp. The proposed algorithm is implemented in the BetaVoid program which is freely available at the Voronoi Diagram Research Center (http://voronoi.hanyang.ac.kr).-
dc.language영어-
dc.language.isoen-
dc.publisherWILEY-
dc.titleBetaVoid: Molecular voids via beta-complexes and Voronoi diagrams-
dc.typeArticle-
dc.contributor.affiliatedAuthorRyu, Seong Eon-
dc.contributor.affiliatedAuthorKim, Deok-Soo-
dc.identifier.doi10.1002/prot.24537-
dc.identifier.scopusid2-s2.0-84906314324-
dc.identifier.wosid000340940300013-
dc.identifier.bibliographicCitationPROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, v.82, no.9, pp.1829 - 1849-
dc.relation.isPartOfPROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS-
dc.citation.titlePROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS-
dc.citation.volume82-
dc.citation.number9-
dc.citation.startPage1829-
dc.citation.endPage1849-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaBiophysics-
dc.relation.journalWebOfScienceCategoryBiochemistry & Molecular Biology-
dc.relation.journalWebOfScienceCategoryBiophysics-
dc.subject.keywordPlusINTERNAL CAVITIES-
dc.subject.keywordPlusWATER-MOLECULES-
dc.subject.keywordPlusBURIED WATERS-
dc.subject.keywordPlusQUASI-TRIANGULATION-
dc.subject.keywordPlusPROTEIN STRUCTURES-
dc.subject.keywordPlusCORE PACKING-
dc.subject.keywordPlusCIRCLE SET-
dc.subject.keywordPlusPOINT SET-
dc.subject.keywordPlusBINDING-
dc.subject.keywordPlusDYNAMICS-
dc.subject.keywordAuthorLee-Richards solvent accessible surface-
dc.subject.keywordAuthorcavity-
dc.subject.keywordAuthortunnel-
dc.subject.keywordAuthorchannel-
dc.subject.keywordAuthoroffset surface-
dc.subject.keywordAuthorVoronoi diagram of spheres-
dc.subject.keywordAuthorquasi-triangulation-
dc.subject.keywordAuthorbeta-complex-
dc.subject.keywordAuthorbeta-shape-
dc.subject.keywordAuthorcomputational geometry-
dc.subject.keywordAuthorgeometric modeling-
dc.identifier.urlhttps://onlinelibrary.wiley.com/doi/10.1002/prot.24537-
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서울 공과대학 > 서울 기계공학부 > 1. Journal Articles
서울 공과대학 > 서울 생명공학과 > 1. Journal Articles

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