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John Overington

Publications and source records attributed to John Overington.

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The druggable genome and support for target identification and validation in drug development

Target identification (identifying the correct drug targets for each disease) and target validation (demonstrating the effect of target perturbation on disease biomarkers and disease end-points) are essential steps in drug development. We showed previously that biomarker and disease endpoint associations of single nucleotide polymorphisms (SNPs) in a gene encoding a drug target accurately depict the effect of modifying the same target with a pharmacological agent; others have shown that genomic support for a target is associated with a higher rate of drug development success. To delineate drug development (including repurposing) opportunities arising from this paradigm, we connected complex disease- and biomarker-associated loci from genome wide association studies (GWAS) to an updated set of genes encoding druggable human proteins, to compounds with bioactivity against these targets and, where these were licensed drugs, to clinical indications. We used this set of genes to inform the design of a new genotyping array, to enable druggable genome-wide association studies for drug target selection and validation in human disease.

Genetics

A Structural and Functional View of Polypharmacology

Protein domains mediate drug-protein interactions and this effect can explain drug polypharmacology. In this study, we associate polypharmacological drugs with CATH functional families, a type of protein domain and we use the network properties of these druggable protein families to analyse their relationships with drug side effects. We found druggable CATH functional families enriched in drug targets, whose relatives are structurally coherent, gather together in the protein functional network occupying central positions, and tend to be free of proteins associated with drug side effects. Our results demonstrate that CATH functional families can be used to identify drug-target interactions, opening a new research direction in target identification.

Bioinformatics