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Proceedings Paper

Modeling of biological nanostructured surfaces
Author(s): P. D. Cristea; Rodica Tuduce; O. Arsene; Alina Dinca; F. Fulga; D. V. Nicolau
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Paper Abstract

The paper presents a methodology using atom or amino acid hydrophobicities to describe the surface properties of proteins in order to predict their interactions with other proteins and with artificial nanostructured surfaces. A standardized pattern is built around each surface atom of the protein for a radius depending on the molecule type and size. The atom neighborhood is characterized in terms of the hydrophobicity surface density. A clustering algorithm is used to classify the resulting patterns and to identify the possible interactions. The methodology has been implemented in a software package based on Java technology deployed in a Linux environment.

Paper Details

Date Published: 12 February 2010
PDF: 4 pages
Proc. SPIE 7574, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications VII, 75740F (12 February 2010); doi: 10.1117/12.839480
Show Author Affiliations
P. D. Cristea, Polytechnical Univ. of Bucharest (Romania)
Rodica Tuduce, Polytechnical Univ. of Bucharest (Romania)
O. Arsene, Polytechnical Univ. of Bucharest (Romania)
Alina Dinca, Polytechnical Univ. of Bucharest (Romania)
F. Fulga, Univ. of Liverpool (United Kingdom)
D. V. Nicolau, Univ. of Liverpool (United Kingdom)

Published in SPIE Proceedings Vol. 7574:
Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications VII
Alexander N. Cartwright; Dan V. Nicolau, Editor(s)

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