Diversity and Chemical Library Networks of Large Data Sets-Reference-Cited by-同舟云学术

Diversity and Chemical Library Networks of Large Data Sets

Published:2021-11-01 Issue: Volume: Page:
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Dunn Timothy B.¹,Seabra Gustavo M.²³^ORCID,Kim Taewon David¹,Juárez-Mercado K. Eurídice⁴,Li Chenglong²³,Medina-Franco José L.⁴,Miranda-Quintana Ramón Alain¹⁵^ORCID

Affiliation:

1. Department of Chemistry, University of Florida, Gainesville, Florida 32611, United States

2. Department of Medicinal Chemistry, University of Florida, Gainesville, Florida 32610, United States

3. Center for Natural Products, Drug Discovery and Development (CNPD3), University of Florida, Gainesville, Florida 32610, United States

4. DIFACQUIM Research Group, Department of Pharmacy, National Autonomous University of Mexico, Mexico City 04510, Mexico

5. Quantum Theory Project, University of Florida, Gainesville, Florida 32611, United States

Funder

Direcci??n General de Asuntos del Personal Acad??mico, Universidad Nacional Aut??noma de M??xico

University of Florida

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.1c01013

Reference66 articles.

1. Informatics for Chemistry, Biology, and Biomedical Sciences

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4. Pearlman, R. S.; Smith, K. M. In 3D QSAR in Drug Design; Kubinyi, H., Folkers, G., Martin, Y. C., Eds. Kluwer Academic Publishers: New York, 2002; Vol. 2, pp 339–353.

5. Rapid Quantification of Molecular Diversity for Selective Database Acquisition

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