Computational Tools to Expedite the Identification of Potential PXR Modulators in Complex Natural Product Mixtures: A Case Study with Five Closely Related Licorice Species-Reference-Cited by-同舟云学术

Computational Tools to Expedite the Identification of Potential PXR Modulators in Complex Natural Product Mixtures: A Case Study with Five Closely Related Licorice Species

Published:2022-07-21 Issue:30 Volume:7 Page:26824-26843
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Alhusban Manal¹,Pandey Pankaj²^ORCID,Ahn Jongmin²^ORCID,Avula Bharathi²,Haider Saqlain²^ORCID,Avonto Cristina²^ORCID,Ali Zulfiqar²^ORCID,Khan Shabana I.¹²,Ferreira Daneel¹²^ORCID,Khan Ikhlas A.¹²,Chittiboyina Amar G.²^ORCID

Affiliation:

1. Department of BioMolecular Sciences, Division of Pharmacognosy, University of Mississippi, University, Mississippi 38677, United States

2. National Center for Natural Products Research, School of Pharmacy, University of Mississippi, University, Mississippi 38677, United States

Funder

U.S. Food and Drug Administration

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c03240

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5. Modern traditional Chinese medicine: Identifying, defining and usage of TCM components

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