3DCA (3D Cluster Analysis)offers a method for the prediction of functional residue clusters in proteins. This method requires a representative structure and a multiple sequence alignment as input data. Individual residues are represented in terms of regional alignments that reflect both their structural environment and their evolutionary variation, as defined by the alignment of homologous sequences.
Ralf Landgraf (firstname.lastname@example.org )
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Landgraf R., Xenarios I., Eisenberg D.,
” Three-dimensional Cluster Analysis Identifies Interfaces and Functional residue Clusters in Proteins “,
Journal of Molecular Biology, 307 , 1487-1502 (2001)