31 results on '"Bacilieri M"'
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2. Combining selectivity and affinity predictions using an integrated support vector machine (SVM) approach: A novel tool to discriminate between the human A2A and A3 receptor bonding sites
3. Linear and Non Linear 3D-QSAR approaches in tandem with ligand based homology modeling as a computational strategy to depict the pyrazolo-triazolo-pyrimidine antagonists binding site at the human A2A adenosine receptors
4. Pyrazolo-Triazolo-Pyrimidines as adenosine receptor antagonists: A complete SAR profile
5. Autocorrelation of molecular potential surface properties combined with partial least squares as new strategy for the prediction of the activity of human A3 adenosine receptor antagonists
6. Strabismus surgery for thyroid-associated orbitopathy
7. Inhibitory effects of glycosaminoglycans on basal and stimulated transforming growth factor- 1 expression in mesangial cells: biochemical and structural considerations
8. O.168 Strabismus surgery for thyroid-associated orbitopathy
9. Tandem 3D-QSARs Approach as a Valuable Tool To Predict Binding Affinity Data: Design of New Gly/NMDA Receptor Antagonists as a Key Study
10. Novel Strategies for the Design of New Potent and Selective Human A3 Receptor Antagonists: An Update
11. Autocorrelation of Molecular Electrostatic Potential Surface Properties Combined with Partial Least Squares Analysis as New Strategy for the Prediction of the Activity of Human A<INF>3</INF> Adenosine Receptor Antagonists
12. CD34+ cell subsets and long-term culture colony-forming cells evaluated on both autologous and normal bone marrow stroma predict long-term hematopoietic engraftment in patients undergoing autologous peripheral blood stem cell transplantation
13. Novel Strategies for the Design of New Potent and Selective Human A3 Receptor Antagonists: An Update
14. Revisiting a receptor-based pharmacophore hypothesis for human A(2A) adenosine receptor antagonists
15. Ligand based-homology modeling as attractive tool to inspect GPCR structural plasticity
16. G protein-coupled receptors as challenging druggable targets: insights from in silico studies
17. The application of a 3D-QSAR (autoMEP/PLS) approach as an efficient pharmacodynamic-driven filtering method for small-sized virtual library: Application to a lead optimization of a human A(3) adenosine receptor antagonist
18. A2B Adenosine Receptor Antagonists: Recent Developments
19. Revisiting a receptor-based pharmacophore hypothesis for human A(2A) adenosine receptor antagonists.
20. A Novel Generalized 3D-QSAR Model of Camptothecin Analogs.
21. Inhibitory effects of glycosaminoglycans on basal and stimulated transforming growth factor-β1 expression in mesangial cells: biochemical and structural considerations.
22. Combining selectivity and affinity predictions using an integrated Support Vector Machine (SVM) approach: An alternative tool to discriminate between the human adenosine A(2A) and A(3) receptor pyrazolo-triazolo-pyrimidine antagonists binding sites.
23. Prediction of the aqueous solvation free energy of organic compounds by using autocorrelation of molecular electrostatic potential surface properties combined with response surface analysis.
24. Linear and nonlinear 3D-QSAR approaches in tandem with ligand-based homology modeling as a computational strategy to depict the pyrazolo-triazolo-pyrimidine antagonists binding site of the human adenosine A2A receptor.
25. Pyrazolo-triazolo-pyrimidines as adenosine receptor antagonists: A complete structure-activity profile.
26. Combining ligand-based and structure-based drug design in the virtual screening arena.
27. Ligand-based drug design methodologies in drug discovery process: an overview.
28. The application of a 3D-QSAR (autoMEP/PLS) approach as an efficient pharmacodynamic-driven filtering method for small-sized virtual library: application to a lead optimization of a human A3 adenosine receptor antagonist.
29. Ligand-based homology modeling as attractive tool to inspect GPCR structural plasticity.
30. A2B adenosine receptor antagonists: recent developments.
31. Autocorrelation of molecular electrostatic potential surface properties combined with partial least squares analysis as alternative attractive tool to generate ligand-based 3D-QSARs.
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