Computational approaches for ligand discovery and design in class-A G protein-coupled receptors
D Rodriguez… - Current pharmaceutical …, 2013 - ingentaconnect.com
Our structural understanding of the superfamily of G-protein coupled receptors, a group of
targets of utmost pharmacological importance, has improved dramatically in the last few …
targets of utmost pharmacological importance, has improved dramatically in the last few …
CoMFA and CoMSIA investigations revealing novel insights into the binding modes of dopamine D3 receptor agonists
F Boeckler, U Ohnmacht, T Lehmann… - Journal of medicinal …, 2005 - ACS Publications
As an extension of a series of dopamine D3 receptor agonists involving FAUC 54, ex-chiral
pool synthesis, and biological evaluation of 3-substituted 7-aminotetrahydroindolizines was …
pool synthesis, and biological evaluation of 3-substituted 7-aminotetrahydroindolizines was …
Bivalent Dopamine D2 Receptor Ligands: Synthesis and Binding Properties
J Kuhhorn, H Hübner, P Gmeiner - Journal of medicinal …, 2011 - ACS Publications
Dopamine D2 receptor homodimers might be of particular importance in the
pathophysiology of schizophrenia and, thus, serve as promising target proteins for the …
pathophysiology of schizophrenia and, thus, serve as promising target proteins for the …
[PDF][PDF] Update 1 of: Recent progress in development of dopamine receptor subtype-selective agents: potential therapeutics for neurological and psychiatric disorders
Dopamine (DA) is a critical neurotransmitter in the mammalian central nervous system
(CNS). The cerebral dopaminergic system is implicated in the pathophysiology of several …
(CNS). The cerebral dopaminergic system is implicated in the pathophysiology of several …
Receptor, ligand and transducer contributions to dopamine D2 receptor functional selectivity
Functional selectivity (or biased agonism) is a property exhibited by some G protein-coupled
receptor (GPCR) ligands, which results in the modulation of a subset of a receptor's …
receptor (GPCR) ligands, which results in the modulation of a subset of a receptor's …
Application of Validated QSAR Models of D1 Dopaminergic Antagonists for Database Mining
S Oloff, RB Mailman, A Tropsha - Journal of medicinal chemistry, 2005 - ACS Publications
Rigorously validated quantitative structure− activity relationship (QSAR) models have been
developed for 48 antagonists of the dopamine D1 receptor and applied to mining chemical …
developed for 48 antagonists of the dopamine D1 receptor and applied to mining chemical …
Design, Synthesis, and Biological Evaluation of Bivalent Ligands Targeting Dopamine D2‐Like Receptors and the μ‐Opioid Receptor
M Qian, L Vasudevan, J Huysentruyt… - …, 2018 - Wiley Online Library
Currently, there is mounting evidence that intermolecular receptor–receptor interactions may
result in altered receptor recognition, pharmacology and signaling. Heterobivalent ligands …
result in altered receptor recognition, pharmacology and signaling. Heterobivalent ligands …
Theoretical study of 3-D molecular similarity and ligand binding modes of orthologous human and rat D2 dopamine receptors
MA Soriano-Ursúa, JO Ocampo-López… - Computers in Biology …, 2011 - Elsevier
The D 2 dopamine receptor (D 2 DR) is an important target for the treatment of some central
nervous system disorders, such as Parkinson disease, schizophrenia and drug …
nervous system disorders, such as Parkinson disease, schizophrenia and drug …
Synthesis, Molecular Properties Estimations, and Dual Dopamine D2 and D3 Receptor Activities of Benzothiazole-Based Ligands
M Schübler, B Sadek, T Kottke, L Weizel… - Frontiers in …, 2017 - frontiersin.org
Neurleptic drugs, eg, aripiprazole, targeting the dopamine D2S and D3 receptors (D2SR
and D3R) in the central nervous system are widely used in the treatment of several psychotic …
and D3R) in the central nervous system are widely used in the treatment of several psychotic …
Whither combine? New opportunities for receptor-based QSAR
GH Lushington, JX Guo, JL Wang - Current medicinal …, 2007 - ingentaconnect.com
Receptor based QSAR methods represent a computational marriage of structure activity
relationship analysis and receptor structure based design that is providing valuable …
relationship analysis and receptor structure based design that is providing valuable …