Unknown

Dataset Information

Biological insights from topology independent comparison of protein 3D structures.


ABSTRACT: Comparing and classifying the three-dimensional (3D) structures of proteins is of crucial importance to molecular biology, from helping to determine the function of a protein to determining its evolutionary relationships. Traditionally, 3D structures are classified into groups of families that closely resemble the grouping according to their primary sequence. However, significant structural similarities exist at multiple levels between proteins that belong to these different structural families. In this study, we propose a new algorithm, CLICK, to capture such similarities. The method optimally superimposes a pair of protein structures independent of topology. Amino acid residues are represented by the Cartesian coordinates of a representative point (usually the C(α) atom), side chain solv

SUBMITTER: Nguyen MN 

PROVIDER: S-EPMC3152366 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature