Publications by authors named "B T Keller"

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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Modern potential energy surfaces have shifted attention to molecular simulations of chemical reactions. While various methods can estimate rate constants for conformational transitions in molecular dynamics simulations, their applicability to studying chemical reactions remains uncertain due to the high and sharp energy barriers and complex reaction coordinates involved. This study focuses on the thermal cis-trans isomerization in retinal, employing molecular simulations and comparing rate constant estimates based on one-dimensional rate theories with those based on sampling transitions and grid-based models for low-dimensional collective variable spaces.

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