0000000000624807
AUTHOR
Pekka Poutiainen
Discovery of 5-benzyl-3-phenyl-4,5-dihydroisoxazoles and 5-benzyl-3-phenyl-1,4,2-dioxazoles as potent firefly luciferase inhibitors.
Luciferase reporter assays are commonly used in high-throughput screening methods. Here, we report new firefly luciferase (FLuc) inhibitors based on 5-benzyl-3-phenyl-4,5-dihydroisoxazoles and 5-benzyl-3-phenyl-1,4,2-dioxazoles, which showed up as "false positives" in a luciferase reporter gene-based assay for nuclear receptor antagonists. The inhibition was shown to be noncompetitive for both natural enzyme substrates (d-luciferin and ATP) and selective to FLuc and proven to arise from a direct interaction between the enzyme and the inhibitor. Of the 63 evaluated compounds, 28 showed significantly better inhibition potency than the well-known inhibitor resveratrol (IC(50) = 59 nM), with fi…
Design, synthesis, and biological evaluation of nonsteroidal cycloalkane[d]isoxazole-containing androgen receptor modulators.
We report here the design, preparation, and systematic evaluation of a novel cycloalkane[d]isoxazole pharmacophoric fragment-containing androgen receptor (AR) modulators. Cycloalkane[d]isoxazoles form new core structures that interact with the hydrophobic region of the AR ligand-binding domain. To systematize and rationalize the structure-activity relationship of the new fragment, we used molecular modeling to design a molecular library containing over 40 cycloalkane[d]isoxazole derivatives. The most potent compound, 4-(3a,4,5,6,7,7a-hexahydrobenzo[d]isoxazol-3-yl)-2-(trifluoromethyl)benzonitrile (6a), exhibits antiandrogenic activity significantly greater than that of the most widely used …
Comprehensive Strategy for Proton Chemical Shift Prediction: Linear Prediction with Nonlinear Corrections
A fast 3D/4D structure-sensitive procedure was developed and assessed for the chemical shift prediction of protons bonded to sp3carbons, which poses the maybe greatest challenge in the NMR spectral parameter prediction. The LPNC (Linear Prediction with Nonlinear Corrections) approach combines three well-established multivariate methods viz. the principal component regression (PCR), the random forest (RF) algorithm, and the k nearest neighbors (kNN) method. The role of RF is to find nonlinear corrections for the PCR predicted shifts, while kNN is used to take full advantage of similar chemical environments. Two basic molecular models were also compared and discussed: in the MC model the desc…