SETTER - RNA SEcondary sTructure-based TERtiary Structure Similarity Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10099578" target="_blank" >RIV/00216208:11320/11:10099578 - isvavai.cz</a>
Result on the web
<a href="http://www.springerlink.com/content/m58w38710uh34771/" target="_blank" >http://www.springerlink.com/content/m58w38710uh34771/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
SETTER - RNA SEcondary sTructure-based TERtiary Structure Similarity Algorithm
Original language description
The recent interest in function of various RNA structures, reflected in the growth of solved RNA structures in PDB, calls for methods for effective and efficient similarity search in RNA structural databases. Here, we propose a method called SETTER (RNASEcondary sTructure-based TERtiary structure similarity) based on partitioning of RNA structures into so-called generalized secondary structure units (CSSU). We introduce a. fast similarity method exploiting RMSD-based algorithm allowing to assess distance to a pair of GSSU, and a method for aggregating these partial distances into a final distance corresponding to structural similarity of the examined RNA structures. Our algorithm yields not only the distance but also a superposition allowing to visualize the structural similarity. Comparative experiments show that our proposed method is competitive with the best; existing solutions, both in terms of effectiveness and efficiency.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F09%2F0683" target="_blank" >GA201/09/0683: Similarity searching in very large multimedia databases</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lecture Notes in Bioinformatics
ISSN
0302-9743
e-ISSN
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Volume of the periodical
6674
Issue of the periodical within the volume
5
Country of publishing house
DE - GERMANY
Number of pages
12
Pages from-to
37-48
UT code for WoS article
000296688700008
EID of the result in the Scopus database
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