Publications by authors named "A L Hooker"

Protein engineering enables the creation of tailor-made proteins for a variety of applications. ImmTACs stand out as promising therapeutics for cancer and other treatments while also presenting unique challenges for stability, formulation, and delivery. We have shown that ImmTACs behave as Janus particles in solution, leading to self-association at low concentrations, even when the average protein-protein interactions suggest that the molecule should be stable.

View Article and Find Full Text PDF
Article Synopsis
  • Degenerative cerebellar ataxias are a group of rare genetic diseases with potential new treatments on the horizon, but effective trial designs and analyses are currently inadequate.
  • This study used item response theory (IRT) modeling to analyze disease progression in various ataxias using data from the autosomal recessive cerebellar ataxia (ARCA) registry, specifically assessing changes with the Scale for Assessment and Rating of Ataxia (SARA).
  • Findings indicated that disease progression rates differ by genotype, impacting trial design; faster progression in disorders like POLG requires smaller trial sizes and shorter timeframes for effective results compared to slower-progressing conditions like COQ8A.
View Article and Find Full Text PDF

Conventional approaches for establishing bioequivalence (BE) between test and reference formulations using non-compartmental analysis (NCA) may demonstrate low power in pharmacokinetic (PK) studies with sparse sampling. In this case, model-integrated evidence (MIE) approaches for BE assessment have been shown to increase power, but may suffer from selection bias problems if models are built on the same data used for BE assessment. This work presents model averaging methods for BE evaluation and compares the power and type I error of these methods to conventional BE approaches for simulated studies of oral and ophthalmic formulations.

View Article and Find Full Text PDF

Population pharmacokinetic (PK) models are widely used to inform drug development by pharmaceutical companies and facilitate drug evaluation by regulatory agencies. Developing a population PK model is a multi-step, challenging, and time-consuming process involving iterative manual model fitting and evaluation. A tool for fully automatic model development (AMD) of common population PK models is presented here.

View Article and Find Full Text PDF