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BMCBI
2006

Protein structure similarity from principle component correlation analysis

9 years 5 months ago
Protein structure similarity from principle component correlation analysis
Background: Owing to rapid expansion of protein structure databases in recent years, methods of structure comparison are becoming increasingly effective and important in revealing novel information on functional properties of proteins and their roles in the grand scheme of evolutionary biology. Currently, the structural similarity between two proteins is measured by the root-mean-square-deviation (RMSD) in their best-superimposed atomic coordinates. RMSD is the golden rule of measuring structural similarity when the structures are nearly identical; it, however, fails to detect the higher order topological similarities in proteins evolved into different shapes. We propose new algorithms for extracting geometrical invariants of proteins that can be effectively used to identify homologous protein structures or topologies in order to quantify both close and remote structural similarities. Results: We measure structural similarity between proteins by correlating the principle components of...
Xiaobo Zhou, James Chou, Stephen T. C. Wong
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2006
Where BMCBI
Authors Xiaobo Zhou, James Chou, Stephen T. C. Wong
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