Key points are not available for this paper at this time.
BACKGROUND: Theoretical models for predicting absorption, distribution, metabolism and excretion (ADME) properties play increasingly important roles in support of the drug development process. OBJECTIVE: We briefly review the in silico prediction models for three important ADME properties, namely, aqueous solubility, human intestinal absorption, and oral bioavailability. METHODS: Rather than giving detailed descriptions of the ADME prediction models, we focus on the discussions of the prediction accuracies of the in silico models. RESULTS/CONCLUSION: We find that the robustness and predictive capability of the ADME models are directly associated with the complexity of the ADME property. For the ADME properties involving complex phenomena, such as bioavailability, the in silico models usually cannot give satisfactory predictions. Moreover, the lack of large and high-quality data sets also greatly hinder the reliability of ADME predictions. While considerable progress has been achieved in ADME predictions, many challenges remain to be overcome.
Building similarity graph...
Analyzing shared references across papers
Loading...
Tingjun Hou
Zhejiang Lab
Junmei Wang
Fujian Medical University
Expert Opinion on Drug Metabolism & Toxicology
The University of Texas Southwestern Medical Center
Weatherford College
Center for Theoretical Biological Physics
Building similarity graph...
Analyzing shared references across papers
Loading...
Hou et al. (Sun,) studied this question.
synapsesocial.com/papers/6a10b3f0d06b5b96589f5aa8 — DOI: https://doi.org/10.1517/17425255.4.6.759
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: