完整後設資料紀錄
DC 欄位語言
dc.contributor.authorWang, Chih-Weien_US
dc.contributor.authorChen, Kun-Tzeen_US
dc.contributor.authorLu, Chin Lungen_US
dc.date.accessioned2014-12-08T15:06:38Z-
dc.date.available2014-12-08T15:06:38Z-
dc.date.issued2010-07-01en_US
dc.identifier.issn0305-1048en_US
dc.identifier.urihttp://dx.doi.org/10.1093/nar/gkq483en_US
dc.identifier.urihttp://hdl.handle.net/11536/5189-
dc.description.abstractiPARTS is an improved web server for aligning two RNA 3D structures based on a structural alphabet (SA)-based approach. In particular, we first derive a Ramachandran-like diagram of RNAs by plotting nucleotides on a 2D axis using their two pseudotorsion angles g and h. Next, we apply the affinity propagation clustering algorithm to this g-h plot to obtain an SA of 23-nt conformations. We finally use this SA to transform RNA 3D structures into 1D sequences of SA letters and continue to utilize classical sequence alignment methods to compare these 1D SA-encoded sequences and determine their structural similarities. iPARTS takes as input two RNA 3D structures in the PDB format and outputs their global alignment (for determining overall structural similarity), semiglobal alignments (for detecting structural motifs or substructures), local alignments (for finding locally similar substructures) and normalized local structural alignments (for identifying more similar local substructures without non-similar internal fragments), with graphical display that allows the user to visually view, rotate and enlarge the superposition of aligned RNA 3D structures. iPARTS is now available online at http://bioalgorithm.life.nctu.edu.tw/iPARTS/.en_US
dc.language.isoen_USen_US
dc.titleiPARTS: an improved tool of pairwise alignment of RNA tertiary structuresen_US
dc.typeArticleen_US
dc.identifier.doi10.1093/nar/gkq483en_US
dc.identifier.journalNUCLEIC ACIDS RESEARCHen_US
dc.citation.volume38en_US
dc.citation.issueen_US
dc.citation.spageW340en_US
dc.citation.epageW347en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000284148900054-
dc.citation.woscount15-
顯示於類別:期刊論文


文件中的檔案:

  1. 000284148900054.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。