- Oral presentation
- Open Access
Structure-based kernels for the prediction of catalytic residues and their involvement in human inherited disease
© Xin et al; licensee BioMed Central Ltd. 2010
Published: 07 December 2010
Enzyme catalysis is involved in numerous biological processes and the disruption of enzymatic activity has been implicated in human disease. Despite the functional importance, various aspects of catalytic reactions are not completely understood, such as the mechanics of reaction chemistry and the geometry of catalytic residues within active sites. As a result, the computational prediction of catalytic residues has the potential to identify novel catalytic pockets, aid in the design of more efficient enzymes and also predict the molecular basis of disease.
Performance comparison between the three methods of catalytic residue prediction when evaluation was carried out by chain, family, superfamily and fold. Methods were evaluated on the same data set using 10-fold cross-validation. sn means the sensitivity when specificity is 0.95.
Our kernel method for functional sites prediction based on protein structures evaluates favourably against established methods on the same data set using the same evaluation procedure. The results from applying our catalytic residue predictor to disease mutations indicated that both loss and gain of catalytic residues are actively involved in human inherited disease.
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