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Open AccessArticle

Voltammetric Behaviour of Drug Molecules as a Predictor of Metabolic Liabilities

1
School of Biosciences, University of Birmingham, Edgbaston B15 2TT, UK
2
Faculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, UK
3
School of Pharmacy, University of Birmingham, Edgbaston B15 2TT, UK
*
Author to whom correspondence should be addressed.
Sci. Pharm. 2020, 88(4), 46; https://doi.org/10.3390/scipharm88040046
Received: 15 September 2020 / Revised: 30 September 2020 / Accepted: 3 October 2020 / Published: 13 October 2020
Electron transfer plays a vital role in drug metabolism and underlying toxicity mechanisms. Currently, pharmaceutical research relies on pharmacokinetics (PK) and absorption, distribution, metabolism, elimination and toxicity (ADMET) measurements to understand and predict drug reactions in the body. Metabolic stability (and toxicity) prediction in the early phases of the drug discovery and development process is key in identifying a suitable lead compound for optimisation. Voltammetric methods have the potential to overcome the significant barrier of new drug failure rates, by giving insight into phase I metabolism events which can have a direct bearing on the stability and toxicity of the parent drug being dosed. Herein, we report for the first time a data-mining investigation into the voltammetric behaviour of reported drug molecules and their correlation with metabolic stability (indirectly measured via t½), as a potential predictor of drug stability/toxicity in vivo. We observed an inverse relationship between oxidation potential and drug stability. Furthermore, we selected and prepared short- (<10 min) and longer-circulation (>2 h) drug molecules to prospectively survey the relationship between oxidation potential and stability. View Full-Text
Keywords: voltammetry; metabolism; stability; toxicity; drug; electron transfer; half-life; propanidid; drug discovery voltammetry; metabolism; stability; toxicity; drug; electron transfer; half-life; propanidid; drug discovery
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MDPI and ACS Style

Fuchigami, H.; Bal, M.K.; Brownson, D.A.C.; Banks, C.E.; Jones, A.M. Voltammetric Behaviour of Drug Molecules as a Predictor of Metabolic Liabilities. Sci. Pharm. 2020, 88, 46.

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