COFACTOR is a structure-based method for biological function
annotation of protein molecules.
To use COFACTOR, user needs to provide a 3D-structural model of
the protein of interest.
COFACTOR will thread the structure through three comprehensive
function libraries by local and global structure matches to identify
functional sites and homologies.
Functional insights, including ligand-binding site, gene-ontology terms, and
enzyme classification, will be
derived from the best functional homology template.
The COFACTOR algorithm was ranked as the best method for function prediction
in the community-wide CASP9 experiments held in 2010.
Ambrish Roy, Jianyi Yang, and Yang Zhang.
COFACTOR: An accurate comparative algorithm for structure-based protein function annotation.
Nucleic Acids Research, in press (2012).
Ambrish Roy, Yang Zhang.
Recognizing protein-ligand binding sites by global
structural alignment and local geometry refinement.
Structure, in press (2012).
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