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

Crossref DOI link: https://doi.org/10.1039/D0NP00055H

Published Online: 2021

Update policy: https://doi.org/10.1039/rsc_crossmark_policy

Authors

Prihoda, David https://orcid.org/0000-0003-0083-7428
Maritz, Julia M. https://orcid.org/0000-0003-0116-6910
Klempir, Ondrej

Dzamba, David

Woelk, Christopher H. https://orcid.org/0000-0002-1977-0502
Hazuda, Daria J.

Bitton, Danny A.

Hannigan, Geoffrey D. https://orcid.org/0000-0002-7128-2143
Funding

Funding for this research was provided by:

Merck
License Information

Version of Record valid from 2020-11-27
More Information

SIMILARITY CHECK

: This document is Similarity Check deposited

RELATED DATA

: Supplementary Information

IDENTIFIERS

: David Prihoda (ORCID)

: Julia M. Maritz (ORCID)

: Christopher H. Woelk (ORCID)

: Geoffrey D. Hannigan (ORCID)

PEER REVIEW METHOD

: Single-blind

PUBLICATION HISTORY

: Received 29 July 2020; Advance Article published 27 November 2020; Version of Record published 23 June 2021