DocumentCode
2676389
Title
Protein surface analysis. Part 2: Atom neighborhood clustering
Author
Cristea, Paul Dan ; Arsene, Octavian ; Tuduce, Rodica ; Nicolau, Dan V.
Author_Institution
Biomed. Eng. Center, Univ. Politeh. of Bucharest, Bucharest, Romania
fYear
2011
fDate
June 30 2011-July 1 2011
Firstpage
1
Lastpage
4
Abstract
The image-oriented modality of describing protein surfaces in terms of the hydrophobicity distribution has been used to classify surface atom neighborhoods. In addition to the similitude and interaction of the pairs of atom neighborhoods, a vector description has been defined. Surface atom neighborhoods have been classified in terms of both resemblance and vector description. The implementation of the clustering algorithm is presented.
Keywords
hydrophobicity; image classification; molecular biophysics; proteins; vectors; atom neighborhood clustering; clustering algorithm; hydrophobicity distribution; image-oriented modality; protein surface analysis; vector description; Calibration; Clustering algorithms; Nanobioscience; Protein engineering; Proteins; Software; Support vector machine classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on
Conference_Location
lasi
Print_ISBN
978-1-61284-944-7
Type
conf
DOI
10.1109/ISSCS.2011.5978749
Filename
5978749
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