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 descriptors are computed from an ensemble of the conformers found by conformational search based on Metropolis Monte Carlo (MMC) simulation; in the 4D model the conformational space was further expanded to the fourth dimension (time) by adding molecular dynamics to the MC conformers. An illustrative case study about the application and interpretation of the 4D prediction for a conformationally flexible structure, scopolamine, is described in detail.

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 five compounds having distinctly subnanomolar IC(50) values. The most efficient compounds inhibited the luminescence at concentrations lower than (1)/(100) in comparison to resveratrol (lowest IC(50) = 0.26 nM) and can thus be considered to belong to the most potent FLuc inhibitors reported thus far. Overall, the novel inhibitors form a unique molecular library for structure-activity relationship (SAR) analyses.