Desdouits, N., Nilges, M. and Blondel, A. (2015) Principal Component Analysis Reveals Correlation of Cavities Evolution and Functional Motions in Proteins. Journal of Molecular Graphics and Modelling, 55, 13-24.
http://dx.doi.org/10.1016/j.jmgm.2014.10.011

has been cited by the following article:

• TITLE: A Structural Comparison Approach for Identifying Small Variations in Binding Sites of Homologous Proteins

  AUTHORS: Ivana Uzelac, Thomas Olsson, Leif A. Eriksson, Johan Gottfries

  KEYWORDS: Protein Comparison, Coagulation Factor, Serine Protease, Binding Site, PCA, OPLS-DA

  JOURNAL NAME: Computational Molecular Bioscience, Vol.5 No.3, September 30, 2015

  ABSTRACT: A method for analyzing the protein site similarity was devised aiming at understanding selectivity of homologous proteins and guiding the design of new drugs. The method is based on calculating Cα distances between selected pocket residues and subsequent analysis by multivariate methods. Five closely related serine proteases, the coagulation factors II, VII, IX, X, and XI, were studied and their pocket similarity was illustrated by PCA clustering. OPLS-DA was then applied to identify the residues responsible for the variation. By combining these two multivariate methods, we could successfully cluster the different proteases according to class and identify the important residues responsible for the observed variation.