Jul 14, 2015 · As in vitro data is accumulated, in silico quantitative structure–activity relationship (QSAR) models can be trained and used to assess ...
The implication is that 1) QSAR model quality should be analyzed in a time-dependent manner to assess their true predictive power and 2) it is ...
Jul 14, 2015 · Here, we investigated predictive properties of QSAR models derived from an assembly of publicly available human liver microsomal (HLM) stability ...
PredMS: a random forest model for predicting metabolic stability of drug candidates in human liver microsomes · Medicine, Chemistry. Bioinform. · 2022.
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Nov 26, 2020 · The primary goal of this study is to build QSAR models using these structurally diverse compounds for predicting hepatic metabolic stability.
We developed a computational model, PredMS, which predicts the metabolic stability of small compounds as stable or unstable in human liver microsomes.
We report on our efforts to develop QSAR models for metabolic stability of compounds, based on in vitro half-life assay data measured in human liver microsomes.
Missing: Critically Power
Critically Assessing the Predictive Power of QSAR Models for Human Liver Microsomal Stability. Article. Jul 2015; J CHEM INF MODEL. Patric ...
We have developed global classification models of rat, mouse and human liver microsomal stability using in-house data.
Critically Assessing the Predictive Power of QSAR Models for Human Liver Microsomal Stability. J. Chem. Inf. Model. 2015, 55, 1566–1575, doi:10.1021/acs ...