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
fDate :
June 30 2011-July 1 2011
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;
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on
Conference_Location :
lasi
Print_ISBN :
978-1-61284-944-7
DOI :
10.1109/ISSCS.2011.5978749
