Prediction of drug bioavailability based on molecular structure
Turner, Joseph V., Glass, Beverly D., and Agatonovic-Krustrin, Snezana (2003) Prediction of drug bioavailability based on molecular structure. Analytica Chimica Acta, 485 (1). pp. 89-102.
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Oral dosing is the most common method of drug administration, and final plasma concentrations of the drug depend upon its bioavailability. In the current study, a quantitative structure–pharmacokinetic relationship (QSPR) was developed for a diverse range of compounds to allow prediction of drug bioavailability. Bioavailability data for 169 compounds was taken from the literature, and from the molecular structures 94 theoretical descriptors were generated. Stepwise regression was employed to develop a regression equation based on 159 training compounds, and predictive ability was tested on 10 compounds reserved for that purpose. The final regression equation included eight descriptors that represented electronic, steric, hydrophobic and constituent parameters of the drug molecules, all of which could be related to solubility and partitioning properties. Predicted bioavailability for the training set agreed more closely for drugs exhibiting mid-range literature bioavailability values. A correlation of 0.72 was achieved for test set bioavailability predictions when compared with literature values. The structure–pharmacokinetic relationship developed in the current study highlighted solubility and partitioning characteristics that may be useful in designing drugs with appropriate bioavailability.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||absorption; bioavailability; QSPR; stepwise regression; theoretical descriptors|
|FoR Codes:||11 MEDICAL AND HEALTH SCIENCES > 1115 Pharmacology and Pharmaceutical Sciences @ 100%|
|SEO Codes:||86 MANUFACTURING > 8608 Human Pharmaceutical Products > 860899 Human Pharmaceutical Products not elsewhere classified @ 100%|
|Deposited On:||17 Jun 2009 10:28|
|Last Modified:||19 May 2013 00:38|
Last 12 Months: 0
|Citation Counts with External Providers:||Web of Science: 22|
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