SProt - From Local to Global Protein Structure Similarity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10038286" target="_blank" >RIV/00216208:11320/10:10038286 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
SProt - From Local to Global Protein Structure Similarity
Original language description
Similarity search in protein databases is one of the most essential issues in proteomics. With the growing number of experimentally solved protein structures, the focus shifted from sequence to structure. The area of structure similarity forms a big challenge since even no standard definition of optimal similarity exists in the field. In this paper, we propose a protein structure similarity method called SProt. SProt concentrates on high-quality modeling of local similarity in the process of feature extraction. SProt's features are based on spherical spatial neighborhood where similarity can be well defined. On top of the partial local similarities, global measure assessing similarity to a pair of protein structures is built. SProt outperforms other methods in classification accuracy, while it is at least comparable to the best existing solutions in terms of precision-recall or quality of alignment.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2010 IEEE International Conference on Bioinformatics and Biomedicine Workshop
ISBN
978-1-4244-8302-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
Neuveden
Event location
Hong Kong, China
Event date
Dec 18, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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