Dec 042014
 

3DCA

:: DESCRIPTION

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.

::DEVELOPER

Ralf Landgraf (rlandgraf@mednet.ucla.edu )

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX / Windows
  • Perl 

:: DOWNLOAD

 3DCA

:: MORE INFORMATION

Citation:

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)

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