ConSurf Logo The ConSurf Server
Server for the Identification of Functional Regions in Proteins
Citing ConSurf and ConSurf Credits

In citing the ConSurf server please refer to

Main References

  • Mayrose I., Graur D., Ben-Tal N. and Pupko T. 2004.
    Comparison of site-specific rate-inference methods for protein sequences: empirical Bayesian methods are superior.
    Mol. Biol. Evol. 21:1781-1791. PDF
  • Pupko T., Bell R.E., Mayrose I., Glaser F. and Ben-Tal N. 2002.
    Rate4Site: an algorithmic tool for the identification of functional regions in proteins by surface mapping of evolutionary determinants within their homologues.
    Bioinformatics 18 Suppl 1:S71-S77. PDF
  • Armon A., Graur D. and Ben-Tal N. 2001. 
    ConSurf: An Algorithmic Tool for the Identification of Functional Regions in Proteins by Surface-Mapping of Phylogenetic Information.  
    J. Mol. Biol. 307:447-463. PDF

  • Martz E. 2005. 
    FirstGlance in Jmol (

  • Martz E. 2002. 
    Protein Explorer: easy yet powerful macromolecular visualization.
    Trends in Biochemical Sciences.27:107-109. (PDF available on request.) 

  • Pettersen, E.F., Goddard, T.D., Huang, C.C., Couch, G.S., Greenblatt, D.M., Meng, E.C., and Ferrin, T.E.
    UCSF Chimera - A Visualization System for Exploratory Research and Analysis.
    J. Comput. Chem. 25(13):1605-1612 (2004).

  • Piero Fariselli and Rita Casadio.
    RCNPRED: prediction of the residue co-ordination numbers in proteins.
    Bioinformatics, 17, 202-204, 2001. (PDF)

When using 3D model predicted by HHPred and MODELLER please also refer to:
  • Sali A., and Blundell T.L.
    Comparative protein modelling by satisfaction of spatial restraints.
    J. Mol. Biol. 234:779-815, 1993

  • Meier A., and Söding J.
    Automatic prediction of protein 3D structures by probabilistic multi-template homology modeling.
    PLoS Comput. Biol. 11:e1004343; 2015
When using RNA secondary structure prediction by RNAFold please also refer to: