Please use this identifier to cite or link to this item:
|Title:||MatAlign: Precise protein structure comparison by matrix alignment|
|Keywords:||Alignment quality criteria|
|Citation:||Aung, Z.,Tan, K.-L. (2006). MatAlign: Precise protein structure comparison by matrix alignment. Journal of Bioinformatics and Computational Biology 4 (6) : 1197-1216. ScholarBank@NUS Repository. https://doi.org/10.1142/S0219720006002417|
|Abstract:||We propose a detailed protein structure alignment method named "MatAlign". It is a two-step algorithm. Firstly, we represent 3D protein structures as 2D distance matrices, and align these matrices by means of dynamic programming in order to find the initially aligned residue pairs. Secondly, we refine the initial alignment iteratively into the optimal one according to an objective scoring function. We compare our method against DALI and CE, which are among the most accurate and the most widely used of the existing structural comparison tools. On the benchmark set of 68 protein structure pairs by Fischer et al., MatAlign provides better alignment results, according to four different criteria, than both DALI and CE in a majority of cases. MatAlign also performs as well in structural database search as DALI does, and much better than CE does. MatAlign is about two to three times faster than DALI, and has about the same speed as CE. The software and the supplementary information for this paper are available at http://xena1.ddns.comp.nus.edu.sg/~genesis/MatAlign/. © Imperial College Press.|
|Source Title:||Journal of Bioinformatics and Computational Biology|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 12, 2019
checked on Jan 13, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.