2013
DOI: 10.1016/j.bmc.2013.02.029
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Identification of RC-33 as a potent and selective σ1 receptor agonist potentiating NGF-induced neurite outgrowth in PC12 cells. Part 2: g-Scale synthesis, physicochemical characterization and in vitro metabolic stability

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Cited by 37 publications
(26 citation statements)
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“…), showing excellent σ 1 receptor affinity ( K i = 0.70 ± 0.3 nM), combined with high selectivity over various receptors expressed in the CNS . Additionally, rac ‐ RC-33 · HCl turned out to be a potent σ 1 receptor agonist in our validated PC12 cell model of neuronal differentiation and showed high metabolic stability in several biological matrices (i.e., mouse and rat blood, rat, dog, and human plasma) . Accordingly rac ‐ RC-33 · HCl was identified as the optimal candidate to be further investigated.…”
Section: Introductionmentioning
confidence: 88%
See 1 more Smart Citation
“…), showing excellent σ 1 receptor affinity ( K i = 0.70 ± 0.3 nM), combined with high selectivity over various receptors expressed in the CNS . Additionally, rac ‐ RC-33 · HCl turned out to be a potent σ 1 receptor agonist in our validated PC12 cell model of neuronal differentiation and showed high metabolic stability in several biological matrices (i.e., mouse and rat blood, rat, dog, and human plasma) . Accordingly rac ‐ RC-33 · HCl was identified as the optimal candidate to be further investigated.…”
Section: Introductionmentioning
confidence: 88%
“…In the last 10 years our research group has conducted extensive studies aimed at discovering novel σ 1 receptor ligands as potential neuroprotective agents . In this context, a drug discovery library based on arylalkenyl‐ and arylalkylaminic scaffolds was prepared (Fig.…”
Section: Introductionmentioning
confidence: 99%
“…All MD simulations were carried out using the Pmemd modules of Amber 14 [66] running on aC PU/GPU calculation cluster.T he binding free energy, DG calcd ,b etween the selected compounds and the s 1 receptor was estimated by resorting to the MM/PBSA [67] approach implemented in Amber 14, according to aw ell-validated methodology. [45,[68][69][70][71][72][73][74] Molecular graphics images were produced using the UCSF Chimera package (v.1.10). [75] The interaction spectra were obtained using GraphPad Prism version 6.00 for Mac OS XY osemite (GraphPad Software, La Jolla, CA, USA).…”
Section: Affinity Toward S 1 and S 2 Receptorsmentioning
confidence: 99%
“…In particular, compounds 1a (H) and 1d showed the most interesting σ1R affinity within this molecular series, with K i σ 1 values of 2.6 nM and 7.1 nM and selectivity ratio (K i σ 2 /K i σ 1 ) of 46.2 and 5.1, respectively. Encouraged by these results, we then selected some of these molecules as training/test set compounds for the construction of a three-dimensional (3D) pharmacophore model for σ1R binding [17], and the subsequent original development of a σ1R 3D homology model [18], extensively validated in successive works [19][20][21][22][23][24][25][26][27][28]. The information retrieved from the combined application of 3D pharmacophore modeling and molecular dynamics (MD)-based docking and scoring calculations using the 3D σ1R homology model allowed us to fully characterize the network of intermolecular interactions responsible for the potency of compounds 1 as σ1R binders.…”
Section: Introductionmentioning
confidence: 99%