DocumentCode
2711737
Title
Bimal: Bipartite matching alignment for the contact map overlap problem
Author
Jain, Brijnesh J. ; Obermayer, Klaus
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Berlin Univ. of Technol., Berlin, Germany
fYear
2009
fDate
14-19 June 2009
Firstpage
1394
Lastpage
1400
Abstract
Bimal, a fast method for approximately solving the maximum contact map overlap (maxCMO) problem is introduced. The method is based on an approximate model of the maxCMO-problem using the generic bipartite graph matching framework, which is then optimally solved by double dynamic programming. The performance of Bimal has been evaluated in an empirical comparative study including clustering of protein structures according to the SCOP fold´s level. Solving about 800 pairwise alignments of medium-sized proteins takes less than 1 min on a 1.7 GHz machine and yields good results for similar protein structures. Bimal accurately classified proteins in agreement with the SCOP classification. In particular, for similar proteins, Bimal provides a good tradeoff between computation speed and solution quality and is because of its high speed useful for solving large-scaled maxCMO applications.
Keywords
biology; dynamic programming; graph theory; proteins; Bimal; double dynamic programming; generic bipartite graph matching alignment; maximum contact map overlap problem; molecular biology; protein structures clustering; Atomic measurements; Biological system modeling; Biology computing; Bipartite graph; Dynamic programming; Large-scale systems; Mathematical model; Neural networks; Proteins; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location
Atlanta, GA
ISSN
1098-7576
Print_ISBN
978-1-4244-3548-7
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2009.5178901
Filename
5178901
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