Human induced Pluripotent Stem Cell-derived cardiomyocytes (hiPSC-CMs) have an enormous potential for the development of drug screening and modeling cardiac disease platforms.
A combination of coformer screening and modeling, followed by characterization using calorimetry, structure elucidation, and solubility led to the identification of novel crystalline forms of the hepatitis C protease inhibitor, telaprevir.
To resolve these issues, this paper presents a model evaluation and uncertainty propagation approach that uses a novel combination of data clustering, model parameter fine-tuning, model screening and ranking, model uncertainty quantification, and Monte Carlo simulation methods.
This year it will be presented through an exhibition of drawings, costumes, puppets, photographs, interactive screens and models.
Most of the interaction is done on a built-in LCD screen and models are uploaded via SD card.
Here, we demonstrate how this well-curated database facilitates compound set design, tool compound selection, target deconvolution in phenotypic screening, and predictive model building.
Incidental detection of asymptomatic aneurysms occurred in all scenarios (with or without screening) and the model acknowledged this incidental detection.
The hiPSC-based in vitro cellular model is gaining prominence in the fields of drug screening and disease modeling.
Fig. 1 Generation and use of CF-disease-specific iPS cells for drug screening and disease modeling.
Based on their peculiar characteristics these cells could represent a valuable tool for renal regenerative medicine applications, drug screening, and disease modeling studies.
