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Royal Society of Chemistry, Natural Product Reports, 6(38), p. 1100-1108, 2021

DOI: 10.1039/d0np00055h

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The application potential of machine learning and genomics for understanding natural product diversity, chemistry, and therapeutic translatability

Journal article published in 2020 by David Prihoda ORCID, Julia M. Maritz ORCID, Ondrej Klempir, David Dzamba, Christopher H. Woelk ORCID, Daria J. Hazuda, Danny A. Bitton, Geoffrey D. Hannigan ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

The natural product field continues to benefit from machine learning, both chemically and biologically. Together machine learning, genomics, and natural products have great potential for improving drug discovery and impacting human health.