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dc.contributor.authorReddy, Tummala R.K.
dc.contributor.authorLi, Chan
dc.contributor.authorFischer, Peter
dc.contributor.authorDekker, Lodewijk
dc.date.accessioned2013-01-11T14:59:09Z
dc.date.available2013-01-11T14:59:09Z
dc.date.issued2012
dc.identifier.citationReddy , T R K , Li , C , Fischer , P & Dekker , L 2012 , ' Three-Dimensional Pharmacophore Design and Biological Screening Identifies Substituted 1,2,4-Triazole Compounds as Inhibitors of the Annexin A2-S100A10 Protein Interaction. ' , ChemMedChem , vol. 7 , no. 8 , pp. 1435-1446 . https://doi.org/10.1002/cmdc.201200107
dc.identifier.issn1860-7187
dc.identifier.otherPURE: 1374010
dc.identifier.otherPURE UUID: 24ffcca8-8fa6-4cb6-b9f1-95e416407c71
dc.identifier.otherScopus: 84864413157
dc.identifier.urihttp://hdl.handle.net/2299/9591
dc.descriptionThis work was supported by Cancer Research UK (grant refs. C21559/A11597 and C21559/A7252).
dc.description.abstractProtein interactions are increasingly appreciated as targets in small-molecule drug discovery. The interaction between the adapter protein S100A10 and its binding partner annexin A2 is a potentially important drug target. To obtain small-molecule starting points for inhibitors of this interaction, a three-dimensional pharmacophore model was constructed from the X-ray crystal structure of the complex between S100A10 and annexin A2. The pharmacophore model represents the favourable hydrophobic and hydrogen bond interactions between the two partners, as well as spatial and receptor site constraints (excluded volume spheres). Using this pharmacophore model, UNITY flex searches were carried out on a 3D library of 0.7 million commercially available compounds. This resulted in 568 hit compounds. Subsequently, GOLD docking studies were performed on these hits, and a set of 190 compounds were purchased and tested biochemically for inhibition of the protein interaction. Three compounds of similar chemical structure were identified as genuine inhibitors of the binding of annexin A2 to S100A10. The binding modes predicted by GOLD were in good agreement with their UNITY-generated conformations. We synthesised a series of analogues revealing areas critical for binding. Thus computational predictions and biochemical screening can be used successfully to derive novel chemical classes of protein–protein interaction blockersen
dc.language.isoeng
dc.relation.ispartofChemMedChem
dc.titleThree-Dimensional Pharmacophore Design and Biological Screening Identifies Substituted 1,2,4-Triazole Compounds as Inhibitors of the Annexin A2-S100A10 Protein Interaction.en
dc.contributor.institutionDepartment of Pharmacy
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionHealth & Human Sciences Research Institute
dc.contributor.institutionMedicinal and Analytical Chemistry
dc.description.statusPeer reviewed
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1002/cmdc.201200107
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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