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dc.creatorKantsadi, A. L.en
dc.creatorParmenopoulou, V.en
dc.creatorBakalov, D. N.en
dc.creatorSnelgrove, L.en
dc.creatorStravodimos, G. A.en
dc.creatorChatzileontiadou, D. S. M.en
dc.creatorManta, S.en
dc.creatorPanagiotopoulou, A.en
dc.creatorHayes, J. M.en
dc.creatorKomiotis, D.en
dc.creatorLeonidas, D. D.en
dc.date.accessioned2015-11-23T10:32:36Z
dc.date.available2015-11-23T10:32:36Z
dc.date.issued2015
dc.identifier.issn15680266
dc.identifier.urihttp://hdl.handle.net/11615/28887
dc.description.abstractGlycogen phosphorylase (GP), a validated target for the development of anti-hyperglycaemic agents, has been targeted for the design of novel glycopyranosylamine inhibitors. Exploiting the two most potent inhibitors from our previous study of N-acyl-β-D-glucopyranosylamines (Parmenopoulou et al., Bioorg. Med. Chem. 2014, 22, 4810), we have extended the linking group to -NHCONHCO- between the glucose moiety and the aliphatic/aromatic substituent in the GP catalytic site β-cavity. The N-acyl-N´-(β-D-glucopyranosyl) urea inhibitors were synthesized and their efficiency assessed by biochemical methods, revealing inhibition constant values of 4.95 μM and 2.53 μM. Crystal structures of GP in complex with these inhibitors were determined and analyzed, providing data for further structure based design efforts. A novel Linear Response - Molecular Mechanics Coulomb Surface Area (LR-MM-CBSA) method has been developed which relates predicted and experimental binding free energies for a training set of N-acyl-N´-(β-D-glucopyranosyl) urea ligands with a correlation coefficient R2 of 0.89 and leave-one-out cross-validation (LOO-cv) Q2 statistic of 0.79. The method has significant applications to direct future lead optimization studies, where ligand entropy loss on binding is revealed as a key factor to be considered. ADMET property predictions revealed that apart from potential permeability issues, the synthesized N-acyl-N´-(β-D-glucopyranosyl) urea inhibitors have drug-like potential without any toxicity warnings. © 2015 Bentham Science Publishers.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-84940906115&partnerID=40&md5=aba470d983c24f037d6efef24b53c716
dc.subjectBinding free energyen
dc.subjectDiabetes type 2en
dc.subjectGlycogen phosphorylaseen
dc.subjectLinear response methodsen
dc.subjectN-acyl-β-D-glucopyranosyl ureasen
dc.subjectX-ray crystallographyen
dc.subjectn (e) 3 (4 isopropylphenyl)acryloyl n΄ (2,3,4,6 tetra oacetyl beta D glucopyranosyl) ureaen
dc.subjectn (e) 3 (4 isopropylphenyl)acryloyl n΄ (beta D glucopyranosyl) ureaen
dc.subjectn (e) 3 (biphenyl 4 yl)acryloyl n΄ (2,3,4,6 tetra oacetyl beta D glucopyranosyl) ureaen
dc.subjectn (e) 3 (biphenyl 4 yl)acryloyl n΄ (beta D glucopyranosyl) ureaen
dc.subjectn acetyl n' (beta D glucopyranosyl) urea inhibitoren
dc.subjectn acyl n΄ beta D glucopyranosylureaen
dc.subjectn acyl n΄ 2,3,4,6 tetra o acetyl beta D glucopyranosylureaen
dc.subjectunclassified drugen
dc.subjectArticleen
dc.subjectbinding affinityen
dc.subjectcarbon nuclear magnetic resonanceen
dc.subjectchemical structureen
dc.subjectdrug binding siteen
dc.subjectdrug efficacyen
dc.subjectdrug screeningen
dc.subjectentropyen
dc.subjectenzyme kineticsen
dc.subjectmathematical computingen
dc.subjectmolecular dockingen
dc.subjectnon insulin dependent diabetes mellitusen
dc.subjectnonhumanen
dc.subjectproton nuclear magnetic resonanceen
dc.subjectrabbiten
dc.subjectreaction optimizationen
dc.subjectsynthesisen
dc.subjectthin layer chromatographyen
dc.subjectvalidation processen
dc.subjectX ray crystallographyen
dc.titleGlycogen phosphorylase as a target for type 2 diabetes: Synthetic, biochemical, structural and computational evaluation of novel N-acyl-N´-(β-D-glucopyranosyl) urea inhibitorsen
dc.typejournalArticleen


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