Publications by authors named "B G Keller"

Nanocrystalline formulations typically contain stabilizing additives to minimize the risk of particle growth or agglomeration. This risk is particularly relevant when the nanosuspension is converted into a solid drug product as the original state of the nanosuspension should be restored upon redispersion of the drug product in vivo. In this work, the behavior of different nonionic and anionic surfactants in solid nanocrystalline formulations and their effects on redispersibility under biorelevant conditions were investigated.

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In recent years, rationally designed macrocycles have emerged as promising therapeutic modalities for challenging drug targets. Macrocycles can improve affinity, selectivity, and pharmacokinetic (PK) parameters, possibly via providing semirigid, preorganized scaffolds. Nevertheless, how macrocyclization affects PK-relevant properties is still poorly understood.

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This paper presents a grid-based approach to model molecular association processes as an alternative to sampling-based Markov models. Our method discretizes the six-dimensional space of relative translation and orientation into grid cells. By discretizing the Fokker-Planck operator governing the system dynamics via the square-root approximation, we derive analytical expressions for the transition rate constants between grid cells.

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Article Synopsis
  • MNLFA is a flexible and important tool for data analysis in various fields, focusing on measurement invariance and differential item functioning.
  • The article presents a Markov chain Monte Carlo approach that enhances MNLFA with better handling of incomplete data and multiple imputation for factor score estimates.
  • Key improvements include support for various data types, new diagnostics for detecting differential item functioning, and integration with common regression techniques for easier analysis.
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