%0 Journal Article
%T Dynamic Programming Used to Align Protein Structures with a Spectrum Is Robust
%A Allen Holder
%A Jacqueline Simon
%A Jonathon Strauser
%A Jonathan Taylor
%A Yosi Shibberu
%J Biology
%D 2013
%I MDPI AG
%R 10.3390/biology2041296
%X Several efficient algorithms to conduct pairwise comparisons among large databases of protein structures have emerged in the recent literature. The central theme is the design of a measure between the C¦Á atoms of two protein chains, from which dynamic programming is used to compute an alignment. The efficiency and efficacy of these algorithms allows large-scale computational studies that would have been previously impractical. The computational study herein shows that the structural alignment algorithm eigen-decomposition alignment with the spectrum (EIGAs) is robust against both parametric and structural variation.
%K protein alignment
%K structural bioinformatics
%K dynamic programming
%U http://www.mdpi.com/2079-7737/2/4/1296