DocumentCode :
2265042
Title :
A tool for structure alignment of molecules
Author :
Chang, Pei-Ken ; Chen, Chien-cheng ; Ouhyoung, Ming
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2004
fDate :
13-15 Dec. 2004
Firstpage :
354
Lastpage :
361
Abstract :
In this paper, a novel tool is proposed to align two molecules (not just proteins) based on their 3D structural data, and the user can observe the result of alignment visually via the tool. Most existing tools are designed only for alignment of proteins. Here, a new tool is developed to address shared structural features between protein structures and tRNA structures, that is, molecular mimicry, although they are two very different types of molecules. In order to align two molecules A and B, geometric hashing is applied to globally find initial matching of approximately overlapped atoms, thus parts of molecule A can be matched to parts of molecule B. Next, a fine tuning process is introduced, which is based on local optimization of overlapped parts, and the iterative closest point (ICP) is used until the number of overlapped atoms within a given distance threshold can not be increased any more. The results show that our method is useful to structurally align two molecules, not restricted to align two proteins only. Besides, our tool outperforms in terms of RMSD and number of matched atom pairs in comparison to other tools.
Keywords :
atoms; biology computing; macromolecules; molecular biophysics; molecular orientation; optimisation; pattern matching; proteins; 3D structural data; RMSD; fine tuning process; geometric hashing; iterative closest point; molecules structure alignment; optimization; protein structures; tRNA structures; Amino acids; Bioinformatics; Computer science; Data engineering; Databases; Genomics; Iterative closest point algorithm; Protein engineering; Search engines; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Software Engineering, 2004. Proceedings. IEEE Sixth International Symposium on
Print_ISBN :
0-7695-2217-3
Type :
conf
DOI :
10.1109/MMSE.2004.19
Filename :
1376682
Link To Document :
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