The application potential of machine learning and genomics for understanding natural product diversity, chemistry, and therapeutic translatability-Reference-Cited by-同舟云学术

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

Published:2021 Issue: Volume: Page:
ISSN:0265-0568
Container-title:Natural Product Reports
language:en
Short-container-title:Nat. Prod. Rep.

Author:

Prihoda David¹²³⁴⁵^ORCID,Maritz Julia M.⁶⁷⁸⁹^ORCID,Klempir Ondrej¹²³⁴,Dzamba David¹²³⁴,Woelk Christopher H.⁶⁷⁸⁹^ORCID,Hazuda Daria J.⁶⁷⁸⁹,Bitton Danny A.¹²³⁴,Hannigan Geoffrey D.⁶⁷⁸⁹^ORCID

Affiliation:

1. R&D Informatics Solutions

2. MSD Czech Republic s.r.o.

3. Prague

4. Czech Republic

5. Department of Informatics and Chemistry

6. Exploratory Science Center

7. Merck & Co., Inc.

8. Cambridge

9. USA

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.

Funder

Merck

Publisher

Royal Society of Chemistry (RSC)

Subject

Organic Chemistry,Drug Discovery,Biochemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/NP/D0NP00055H

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