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
Link To Document :
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