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Training a scoring function for the alignment of small molecules.


ABSTRACT: A comprehensive data set of aligned ligands with highly similar binding pockets from the Protein Data Bank has been built. Based on this data set, a scoring function for recognizing good alignment poses for small molecules has been developed. This function is based on atoms and hydrogen-bond projected features. The concept is simply that atoms and features of a similar type (hydrogen-bond acceptors/donors and hydrophobic) tend to occupy the same space in a binding pocket and atoms of incompatible types often tend to avoid the same space. Comparison with some recently published results of small molecule alignments shows that the current scoring function can lead to performance better than those of several existing methods.

SUBMITTER: Chan SL 

PROVIDER: S-EPMC2946173 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature

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Training a scoring function for the alignment of small molecules.

Chan Shek Ling SL   Labute Paul P  

Journal of chemical information and modeling 20100901 9


A comprehensive data set of aligned ligands with highly similar binding pockets from the Protein Data Bank has been built. Based on this data set, a scoring function for recognizing good alignment poses for small molecules has been developed. This function is based on atoms and hydrogen-bond projected features. The concept is simply that atoms and features of a similar type (hydrogen-bond acceptors/donors and hydrophobic) tend to occupy the same space in a binding pocket and atoms of incompatibl  ...[more]

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