Protinfo MFS - protein meta-functional signature

• Wang K, Horst, J, Cheng G, Nickle D, Samudrala R. Protein meta-functional signatures from combining sequence, structure, evolution and amino acid property information. PLoS Computational Biology 4:e1000181, 2008.
• Cheng G, Qian B, Samudrala R, Baker D. Improvement in protein functional site prediction by distinguishing structural and functional constraints on protein family evolution using computational design. Nucleic Acids Research 33: 5861-5867, 2005.
• Wang K, Samudrala R. FSSA: A novel method for identifying functional signatures from structural alignments. Bioinformatics 21: 2969-2977, 2005.

Given either a protein structure in PDB format (<300 residues) or a protein sequence, the MFS server module will return a prediction of meta-functional signature: a score for each residue in the structure or sequence indicating its relative functional importance. In addition, for the submitted structure, a new structure file with the temperature factor field replaced by meta-functional signature scores will be created to enable visual inspection of functionally important regions using molecular graphics software.

Download Protinfo MFS as a standalone application.