A new protein structure classification model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092824" target="_blank" >RIV/61989100:27240/14:86092824 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092824
Result on the web
<a href="http://dx.doi.org/10.1109/CASoN.2014.6920419" target="_blank" >http://dx.doi.org/10.1109/CASoN.2014.6920419</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CASoN.2014.6920419" target="_blank" >10.1109/CASoN.2014.6920419</a>

Result language
angličtina
Original language name
A new protein structure classification model
Original language description
Protein structure prediction is an important area of research in bioinformatics. In this paper, we select the features of correlation coefficient sequence and special amino acid composition. The support vector machine and a particular framework of ECOC are employed as classification model. To evaluate the efficiency of the proposed method we choose three benchmark protein sequence datasets (25PDB, 40PDB and ASTRAL) as the test dataset. The final results show that our method is efficient for protein structure prediction. 2014 IEEE.
Czech name
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Czech description
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Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2014 6th International Conference on Computational Aspects of Social Networks, CASoN 2014
ISBN
978-1-4799-5940-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
37-42
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Porto
Event date
Jul 30, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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