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Mind and machine in drug design

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After a difficult start, medicinal chemists are now ready to embrace AI-based methods and concepts in drug discovery, explains Gisbert Schneider.

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Fig. 1: Cartoon representation of the drug design cycle as the interplay of inductive and deductive reasoning.

Jack Burgess.

References

  1. Lee, V. H. Ther. Deliv. 1, 615–619 (2010).

    Article  Google Scholar 

  2. Scannell, J. W., Blanckley, A., Boldon, H. & Warrington, B. Nat. Rev. Drug Discov. 11, 191–200 (2012).

    Article  Google Scholar 

  3. Smietana, K., Siatkowski, M. & Møller, M. Nat. Rev. Drug Discov. 15, 379–380 (2016).

    Article  Google Scholar 

  4. Mignani, S., Huber, S., Tomás, H., Rodrigues, J. & Majoral, J. P. Drug Discov. Today 21, 239–249 (2016).

    Article  Google Scholar 

  5. Jordan, A. M. ACS Med. Chem. Lett. 9, 1150–1152 (2018).

    Article  Google Scholar 

  6. Segler, M. H. S., Preuss, M. & Waller, M. P. Nature 555, 604–610 (2018).

    Article  Google Scholar 

  7. Schütt, K. T., Arbabzadah, F., Chmiela, S., Müller, K. R. & Tkatchenko, A. Nat. Commun. 8, 13890 (2017).

    Article  Google Scholar 

  8. Gupta, A. et al. Mol. Inf. 37, 1700111 (2018).

    Article  Google Scholar 

  9. Merk, D., Grisoni, F., Friedrich, L. & Schneider, G. Commun. Chem. 1, 68 (2018).

    Article  Google Scholar 

  10. Pierce, T. H. & Hohne, B. A. (eds) Artificial Intelligence Applications in Chemistry (American Chemical Society, Washington, 1986).

  11. Gasteiger, J. & Zupan, J. Angew. Chem. Int. Ed. 32, 503–527 (1993).

    Article  Google Scholar 

  12. Walters, W. P., Green, J., Weiss, J. R. & Murcko, M. J. Med. Chem. 54, 6405–6416 (2011).

    Article  Google Scholar 

  13. Sanderson, K. Nat. Rev. Drug Discov. 14, 299–300 (2015).

    Article  Google Scholar 

  14. Schneider, G. Nat. Rev. Drug Discov. 17, 97–113 (2018).

    Article  Google Scholar 

  15. King, R. D. et al. Science 324, 85–89 (2009).

    Article  Google Scholar 

  16. Schneider, P. & Schneider, G. J. Med. Chem. 59, 4077–4086 (2016).

    Article  Google Scholar 

  17. Leeson, P. D. & Springthorpe, B. Nat. Rev. Drug Discov. 6, 881–890 (2007).

    Article  Google Scholar 

  18. Begoli, E., Bhattacharya, T. & Kusnezov, D. Nat. Mach. Intell. 1, 20–23 (2019).

    Article  Google Scholar 

  19. Seifert, V. A. Found. Chem. 19, 209–222 (2017).

    Article  Google Scholar 

  20. Blakemore, D. C. et al. Nat. Chem. 10, 383–394 (2018).

    Article  Google Scholar 

  21. Merk, D., Friedrich, L., Grisoni, F. & Schneider, G. Mol. Inf. 37, 1700153 (2018).

    Article  Google Scholar 

  22. Coley, C. W., Green, W. H. & Jensen, K. F. Acc. Chem. Res. 51, 1281–1289 (2018).

    Article  Google Scholar 

  23. Smith, J. S., Isayev, O. & Roitberg, A. E. Chem. Sci. 8, 3192–3203 (2017).

    Article  Google Scholar 

  24. Schneider, G. Mol. Inf. 37, 1880131 (2018).

    Article  Google Scholar 

  25. Hessler, G. & Baringhaus, K. H. Molecules 23, 2520 (2018).

    Article  Google Scholar 

  26. Mak, K.-K. & Pichika, M. R. Artificial intelligence in drug development: present status and future prospects. Drug Discov. Today. https://doi.org/10.1016/j.drudis.2018.11.014 (2019).

  27. Devillers, J. (ed.) Neural Networks in QSAR and Drug Design (Academic, Cambridge, 1996).

  28. Lohmann, R., Schneider, G. & Wrede, P. Biopolymers 38, 13–29 (1996).

    Article  Google Scholar 

  29. Schneider, G. & Wrede, P. Prog. Biophys. Mol. Biol. 70, 175–222 (1998).

    Article  Google Scholar 

  30. Plowright, A. T. et al. Drug Discov. Today 17, 56–62 (2012).

    Article  Google Scholar 

  31. Graubard, S. R. (ed.). The Artificial Intelligence Debate: False Starts, Real Foundations (MIT Press, Cambridge, 1988).

    Google Scholar 

  32. Topol, E. J. Nat. Med. 25, 44–56 (2019).

    Article  Google Scholar 

  33. Goldberg, K. Nat. Mach. Intell. 1, 2–4 (2019).

    Article  Google Scholar 

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Acknowledgements

I am grateful to the many colleagues, co-workers and students with whom I had the privilege to work on drug design with machine intelligence. This work was financially supported by the Novartis Forschungsstiftung (FreeNovation: AI in Drug Discovery) and the Swiss National Science Foundation (grant no. 205321_182176 to G.S.).

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Correspondence to Gisbert Schneider.

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The author declares a potential financial conflict of interest as consultant to the pharmaceutical industry and co-founder of inSili.com GmbH, Zurich.

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Schneider, G. Mind and machine in drug design. Nat Mach Intell 1, 128–130 (2019). https://doi.org/10.1038/s42256-019-0030-7

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