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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
A Non-Modular Cellular DEVS Model Of The Degradation Of A
Cultivated Soil Surface By Rainfall |
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Authors: |
Gilles Valette, Stéphanie Prévost, Laurent
Lucas, Joël Léonard |
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Published in:
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ECMS
2008 Proceedings Edited
by: Loucas S. Louca, Yiorgos Chrysanthou, Zuzana Oplatkova, Khalid Al-Begain ISBN:
978-0-9553018-6-5 Doi: 10.7148/2008 22nd
European Conference on Modelling and Simulation, Nicosia, June
3-6, 2008 |
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Citation
format: |
Valette, G., Prevost, S., Lucas, L.,
& Leonard, J. (2008). A Non-Modular Cellular DEVS Model Of The
Degradation Of A Cultivated Soil Surface By Rainfall. ECMS 2008 Proceedings
edited by: L. S. Louca, Y. Chrysanthou,
Z. Oplatkova, K. Al-Begain (pp. 285-291). European Council for
Modeling and Simulation. doi:10.7148/2008-0285 |
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DOI: |
http://dx.doi.org/10.7148/2008-0285 |
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Abstract: |
Proteins
play a vital role in maintaining the balance of bodily functions in all
living beings. However their functional properties
are difficult to predict since they depend not only on the sequence of
constituent amino acids but also on the 3D folding of the protein. This paper
presents a new statistical method for extraction of surface atoms of a
protein. The method is based on space-voxelisation
and generalizes our previous deterministic method by repeating the surface
extraction process for various orientations of a protein;
so as to achieve a statistical consensus about surface atoms. Based on the
experimental study we have established an optimal range of values of voxel occupancy for the selection of surface atoms; with
optimality defined as a maximum coincidence of extracted surface atoms from
the protein presented to the algorithm in 13 different orientations. The
results show that the voxel occupancy threshold of
between >40% and >50% allows our algorithm to extract surface atoms
with high degree of confidence. |
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