Summary
We propose a molecule’s chemistry can be hidden by representations of its shape and electrostatic field while retaining crucial, pharmaceutically relevant, information. Necessary, but not sufficient, to this proposition are the importance of shape and electrostatics to activity, the facility to easily represent, store and compare field properties, and knowledge of the density of possible drug-like molecules within a given radius of physical similarity. We provide methods and evidence to support the conclusion that a useful encoding is practical and propose tests for falsification.
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Acknowledgements
The authors wish to thank Mike Tennant and Andrew Jennings of Syrrx, Inc. (Takeda Pharmaceuticals) for help in constructing the MACE database and running large-scale ROCS calculations, Geoff Skillman for the curation of the MACE dataset, Robert Tolbert for help with WABE, James Haigh for construction of shape fingerprints on the Fesitin dataset and Mesa Analytics for the use of their fingerprinting code.
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Nicholls, A., Grant, J. Molecular shape and electrostatics in the encoding of relevant chemical information. J Comput Aided Mol Des 19, 661–686 (2005). https://doi.org/10.1007/s10822-005-9019-x
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DOI: https://doi.org/10.1007/s10822-005-9019-x