MetaPocket: a meta approach to improve protein ligand binding site prediction.

@article{Huang2009MetaPocketAM,
  title={MetaPocket: a meta approach to improve protein ligand binding site prediction.},
  author={Bingding Huang},
  journal={Omics : a journal of integrative biology},
  year={2009},
  volume={13 4},
  pages={325-30}
}
The identification of ligand-binding sites is often the starting point for protein function annotation and structure-based drug design. Many computational methods for the prediction of ligand-binding sites have been developed in recent decades. Here we present a consensus method metaPocket, in which the predicted sites from four methods: LIGSITE(cs), PASS, Q-SiteFinder, and SURFNET are combined together to improve the prediction success rate. All these methods are evaluated on two datasets of… CONTINUE READING
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