DocumentCode :
2357428
Title :
Pairwise protein structure alignment based on an orientation-independent representation of the backbone geometry
Author :
Ye, Jieping ; Janardan, Ravi ; Liu, Songtao
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
fYear :
2003
fDate :
3-5 Nov. 2003
Firstpage :
2
Lastpage :
9
Abstract :
Determining structural similarities between proteins is an important problem since it can help identify functional and evolutionary relationships. In this paper, an algorithm is proposed to align two protein structures. Given the protein backbones, the algorithm finds a rigid motion of one backbone onto the other such that large substructures are matched. The algorithm uses a representation of the backbones that is independent of their relative orientations in space and applies dynamic programming to this representation to compute an initial alignment, which is then refined iteratively. Experiments indicate that the algorithm is competitive with two well-known algorithms, namely DALI by L. Holm and C. Sander (1993) and LOCK by A.P. Singh and D.L. Brutlag (1997).
Keywords :
biology computing; dynamic programming; proteins; singular value decomposition; 3D structure; Frobenius norm; backbone geometry; dynamic programming; pairwise protein structure; protein evolutionary relationship; protein functional relationship; protein structural similarity determination; protein structure alignment; rigid motion; root-mean squared deviation; singular value decomposition; three-dimensional structure; Computer science; Dynamic programming; Geometry; Iterative algorithms; Matrix decomposition; Phylogeny; Protein engineering; Shape; Singular value decomposition; Spine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-7695-2038-3
Type :
conf
DOI :
10.1109/TAI.2003.1250163
Filename :
1250163
Link To Document :
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