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Orienting a Protein Model by Crossing Number to Generate the Characteristic Views for Identification

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1 Department of Engineering, University of Waikato, New Zealand. E-mail: ckau@waikato.ac.nz
2 School of Mechanical Engineering, Nanyang Technological University, Singapore
3 School of Computer Engineering, Nanyang Technological University, Singapore
4 School of Mechanical Engineering, Nanyang Technological University, Singapore

Computer Modeling in Engineering & Sciences 2010, 68(3), 221-238. https://doi.org/10.3970/cmes.2010.068.221

Abstract

A protein model (such as a ribbon model) can be created from the atomic coordinates in the protein data base files. These coordinates are obtained by X-ray crystallography or NMR spectroscopy with the protein arbitrarily oriented. As such, identifying or comparing a novel structure with a known item using protein model in the protein data base can be a timely process since a large number of transformations may be involved. The identification efficiency will be improved if the protein models are uniformly oriented. This paper presents an approach to orient a protein model to generate the characteristic views with minimum and maximum crossings respectively. The projection directions for these characteristic views are determined by a set of crossing maps (C-maps). Re-orientating the protein models in the protein data base to two characteristic views will facilitate the process of identification.

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APA Style
Au, C., Cai, Y., Zheng, J., Woo, T. (2010). Orienting a protein model by crossing number to generate the characteristic views for identification. Computer Modeling in Engineering & Sciences, 68(3), 221-238. https://doi.org/10.3970/cmes.2010.068.221
Vancouver Style
Au C, Cai Y, Zheng J, Woo T. Orienting a protein model by crossing number to generate the characteristic views for identification. Comput Model Eng Sci. 2010;68(3):221-238 https://doi.org/10.3970/cmes.2010.068.221
IEEE Style
C. Au, Y. Cai, J. Zheng, and T. Woo, “Orienting a Protein Model by Crossing Number to Generate the Characteristic Views for Identification,” Comput. Model. Eng. Sci., vol. 68, no. 3, pp. 221-238, 2010. https://doi.org/10.3970/cmes.2010.068.221



cc Copyright © 2010 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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