PROSIMA: Protein Similarity Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A86077763" target="_blank" >RIV/61989100:27240/09:86077763 - 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
PROSIMA: Protein Similarity Algorithm
Original language description
In this article we present a novel algorithm for measuring protein similarity based on their three dimensional structure (protein tertiary structure). The PROSIMA algorithm using suffix tress for discovering common parts of main-chains of all proteins appearing in current NCSB Protein Data Bank (PDB). By identifying these common parts we build a vector model and next use classical information retrieval tasks based on the vector model to measure the similarity between proteins - all to all protein similarity. For the calculation of protein similarity we are using tf-idf terra weighing schema and cosine similarity measure.
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
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE World Congress on Nature & Biologically Inspired Computing, 2009. NaBIC 2009
ISBN
978-1-4244-5053-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, California
Event location
Indie
Event date
Dec 9, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000288686500015