AlloPred uses a novel method of normal mode analysis and pocket features to predict allosteric pockets on proteins. On a test set of known allosteric proteins the highest ranked pocket per protein was an allosteric pocket in 23 out of 40 cases. An allosteric pocket was ranked first or second in 28 out of 40 cases.
If you use AlloPred, please cite: Greener, JG and Sternberg, MJE, AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis, BMC Bioinformatics, 2015, 16(335). Link to paper.
Last updated 29/06/17