The usefulness of biopartitioning micellar chromatography （BMC） for predicting oral drug acute toxicity and apparent bioavailability was demonstrated. A logarithmic model （an LD50 model） and the second order polyn...The usefulness of biopartitioning micellar chromatography （BMC） for predicting oral drug acute toxicity and apparent bioavailability was demonstrated. A logarithmic model （an LD50 model） and the second order polynomial models （apparent bioavailability model） have been obtained using the retention data of the selective calcium channel blockers to predict pharmacological properties of compounds. The use of BMC is simple, reproducible and can provide key information about the acute toxicity and transport properties of new compounds during the drug discovery process.展开更多
基金Project supported by the National Natural Science Foundation of China （No. 20375010）, Natural Science Foundation of Hebei Province （No. 202096）, Bairen Project of Chinese Academy of Sciences, and the Excellent Teacher Program and the Specialized Research Fund for the Doctoral Program of Higher Education.Acknowledgements The authors wish to thank professor Yang LIANG and Yongjian ZHANG for a generous gift of m-nisoldipine, nisoldipine and nicardipine.
文摘The usefulness of biopartitioning micellar chromatography （BMC） for predicting oral drug acute toxicity and apparent bioavailability was demonstrated. A logarithmic model （an LD50 model） and the second order polynomial models （apparent bioavailability model） have been obtained using the retention data of the selective calcium channel blockers to predict pharmacological properties of compounds. The use of BMC is simple, reproducible and can provide key information about the acute toxicity and transport properties of new compounds during the drug discovery process.
