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Biomedical subjects

Elizabeth Yuriev

Publications and source records attributed to Elizabeth Yuriev.

4 recordsLinked to original sources

Three-dimensional structures of carbohydrate determinants of Lewis system antigens: implications for effective antibody targeting of cancer.

Lewis system carbohydrate antigens have been shown to be expressed at high levels in many cancers of epithelial cell origin, including those of colon, breast, lung, prostate and ovary. The type 1 (Le(a) and Le(b)) antigens are important histo-blood groups, while type 2 (Le(x) and Le(y)) antigens in healthy individuals are only expressed, at relatively low levels, by a few tissues, including some epithelial cells. Thus, the type 2 antigens are considered to be tumour-associated antigens and are promising targets for cancer treatment, including antibody-based immunotherapy. In this review, we discuss the conformational characteristics of the free and bound forms of Lewis oligosaccharides and the 3D structures of antibodies in complex with Le(y) and Le(x) antigens. Collectively, the structural studies have demonstrated that the Lewis determinants are rigid structures, which generally maintain the same conformation in the free and bound states. The rigid nature and similarities in shape of type 1 and 2 Lewis oligosaccharides appear to make them perfectly suited to driving a structurally convergent immune response (at least in the case of Le(y) specific antibodies) toward a highly specific recognition of individual carbohydrate determinants, which is a goal in the development of effective antibody-based cancer treatments.

Animals↗

Investigation of structure-activity relationships in a series of glibenclamide analogues.

In this study, the synthesis of 15 new glibenclamide analogues is described. The conformational trends of these analogues were investigated using Monte Carlo conformational analysis. The conformational analysis results resolved the discrepancy between previous molecular modelling simulations of glibenclamide and allowed rationalizing the effect of aqueous environment on the overall conformation. The 3D-QSAR study was carried out with respect to the compounds' ability to antagonize the [(3)H]-glibenclamide binging in rat cerebral cortex. Superimposition of the antagonists was performed using the conformations derived from atom-by-atom fit to the glibenclamide crystal structure and this alignment was used to develop CoMFA models. CoMFA provided a good predictability: number of PLS components = 2, q(2) = 0.876, R(2) = 0.921, SEE = 0.455 and F = 70. Best CoMFA models showed the steric and lipophilic properties as the major interacting forces whilst the electrostatic property contribution was a minor factor.

Glyburide↗

A glycopeptide in complex with MHC class I uses the GalNAc residue as an anchor.

Peptides bind MHC class I molecules by anchoring hydrophobic side chains into pockets in the peptide binding groove. Here, we report an immunogenic (in vitro and in vivo) MUC1 glycopeptide (MUC1-8-5GalNAc) bound to H-2Kb, fully crossreactive with the nonglycosylated variant. Molecular modeling showed that the central P5-Thr-GalNAc residue points into the C pocket and forms van der Waals and hydrogen bond interactions with the MHC class I. As predicted, GalNAc, a modified peptide carrying an additional anchor in the central C anchor pocket, increased the affinity by approximately 100-fold compared with the native low-affinity peptide (MUC1-8). The findings demonstrate that glycopeptides associated with MHC class I molecules can use GalNAc to anchor the peptide in the groove and enable high-affinity binding.

Acetylgalactosamine↗

Mcg light chain dimer as a model system for ligand design: a docking study.

Mcg light chain dimer has been extensively studied by crystallography and peptide binding studies to investigate its peptide cross-reactivity as well as to use it as a model system for designing space filling peptide ligands. Here we extend these investigations by utilizing automated docking. Mcg light chain dimer is an ideal model system for such study due to the availability of experimental data for both the native structure and the 14 complexes with various peptide ligands. We show the ability of the docking approach to reproduce the experimental structures and discuss the limitations associated with such outcomes. We demonstrate the usefulness of the docking approach in generating structural information otherwise not available from the experiment.

Binding Sites, Antibody↗