A review of the use of in silico methods to predict the chemistry of molecular initiating events related to drug toxicity

Abstract

Introduction: Drug toxicity pathways can be extremely complex and difficult to fully understand. However, understanding specific parts of the pathway may be simpler. Every toxicity pathway starts with a molecular initiating event (MIE). If an MIE is well understood then it becomes possible to predict which compounds can partake in that particular MIE using in silico techniques.

Areas covered: This review aims to describe how the use of structural alerts and the measurement/calculation of certain physicochemical properties can identify chemicals with a given MIE. For example, structural alerts can be used to identify chemicals able to form a covalent bond with a biological macromolecule. How chemistry-related MIEs relate to toxicity end points, such as hepatotoxicity, is also discussed.

Expert opinion: It is emphasised that predicting that a compound can cause an MIE is not a direct prediction of toxicity. Predicting whether a compound will be toxic requires a comparison with similar compounds which cause the same MIE and that are associated with known toxicological data. It is possible to form categories of compounds that are all thought to act via the same MIE and then use read-across within the category to make a toxicity prediction.

Keywords:

• category formation
• chemical reactivity
• covalent binding
• molecular initiating event
• physicochemical properties
• reactive metabolites
• read-across
• structural alerts

Acknowledgements

The funding of the eTOX project, grant agreement number 115002 under the Innovative Medicines Initiative Joint Undertaking (IMI-JU), is acknowledged.

Notes

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