Defining Known Drug Space Using DFT

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Abstract

A density functional theory (DFT) study was performed on a collection of clinically approved drugs, or Known Drug Space (KDS), to determine the statistical distribution of four properties: dipole moment (DM), polarisability (POL), ionisation potential (IP) and electron affinity (EA). The DM and POL are linked to cell permeability of drugs whereas IP and EA reflect their redox stability thus ease of metabolism. A benchmarking exercise showed a good correlation between experimental values and their predicted counterparts. It was found that KDS occupies the volume of chemical space defined by: DM≤10 D, POL≤68 Å3, IP 6.0-9.0 V and EA-1.5-2.0 eV. Only 16% of the drugs are outside one or more of these parameters. Three categories based on known oral absorption and bioavailability (low/medium/high) were established and compared. Predominately, drugs designated as 'low' were found outside the established parameters. The properties were compared with mainstream molecular descriptors and a strong correlation was seen for POL to MW (r2=0.899), which can explain the success of the latter since POL reflects the ability of molecules to interact with polar and non-polar environments such as water and interior of a membrane.

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Matuszek, A. M., & Reynisson, J. (2016). Defining Known Drug Space Using DFT. Molecular Informatics, 35(2), 46–53. https://doi.org/10.1002/minf.201500105

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