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Steven J. Novick

Researcher at Research Triangle Park

Publications -  18
Citations -  584

Steven J. Novick is an academic researcher from Research Triangle Park. The author has contributed to research in topics: Tolerance interval & Medicine. The author has an hindex of 7, co-authored 14 publications receiving 521 citations.

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A simple method for quantifying functional selectivity and agonist bias.

TL;DR: A scale based on the Black and Leff operational model that contains the key elements required to describe 7TM agonism, namely, affinity for the receptor and efficacy in activating a particular signaling pathway, can statistically evaluate selective agonist effects in a manner that can theoretically inform structure-activity studies and/or drug candidate selection matrices.
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Development of a high-throughput electrophysiological assay for the human ether-à-go-go related potassium channel hERG.

TL;DR: Evaluating drug effects on hERG channels is best performed by electrophysiological methods and the IonWorks Barracuda provides an efficient way to study hERG biophysics and pharmacology.
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The Acute Extracellular Flux (XF) Assay to Assess Compound Effects on Mitochondrial Function

TL;DR: The acute XF assay is demonstrated to be a robust, sensitive screening platform for evaluating drug-induced effects on mitochondrial activity in whole cells and validated using marketed drugs known to modulate mitochondrial function.
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A Two One-Sided Parametric Tolerance Interval Test for Control of Delivered Dose Uniformity. Part 1—Characterization of FDA Proposed Test

TL;DR: The results show that coverages are needed for a batch to have acceptance probability 98% or greater with the test named by the FDA “87.5% coverage” (95% confidence level), while batches with 87.
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Testing Assay Linearity Over a Pre-Specified Range

TL;DR: The method uses a two one-sided test of equivalence to evaluate the bias that can result from approximating a higher-order polynomial response with a linear function, and provides a closed-form solution, thus making linearity testing easy to implement.