International Journal of Computational Intelligence Systems

Volume 4, Issue 1, February 2011, Pages 75 - 88

An Improved Method for Protein Similarity Searching by Alignment of Fuzzy Energy Signatures

Authors
Dariusz Mrozek, Bozena Malysiak-Mrozek
Corresponding Author
Dariusz Mrozek
Received 12 January 2009, Accepted 19 September 2010, Available Online 1 February 2011.
DOI
10.2991/ijcis.2011.4.1.7How to use a DOI?
Keywords
Bioinformatics, protein structure, similarity searching, force fields, molecular mechanics, fuzzy numbers.
Abstract

*Scientific research supported by the Ministry of Science and Higher Education, Poland in years 2008-2010. Grant No. N N516 265835: Protein Structure Similarity Searching in Distributed Multi Agent System †To whom the entire correspondence should be directed: Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland, e-mail:Dariusz.Mrozek@polsl.pl

Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
4 - 1
Pages
75 - 88
Publication Date
2011/02/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2011.4.1.7How to use a DOI?
Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Dariusz Mrozek
AU  - Bozena Malysiak-Mrozek
PY  - 2011
DA  - 2011/02/01
TI  - An Improved Method for Protein Similarity Searching by Alignment of Fuzzy Energy Signatures
JO  - International Journal of Computational Intelligence Systems
SP  - 75
EP  - 88
VL  - 4
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.1.7
DO  - 10.2991/ijcis.2011.4.1.7
ID  - Mrozek2011
ER  -