bioRxivPharmacology & Toxicology
Quantitative bioactivity signatures of dietary supplements and natural products
A. Yasgar, D. Bougie, C. McKnight, M. Miller, T. Peryea, M. Xia, P. Shah, X. Xu, P. Shinn, M. Itkin, C. Lynch, A. V. Zakharov, R. Eastman, J. Kouznetsova, D. Ngan, R. Huang, A. Simeonov
Abstract
Dietary Supplements and Natural Products have minor oversight of their safety and efficacy. We assembled a collection of Dietary Supplements and Natural Products (DSNP) as well as Traditional Chinese Medicinal (TCM) Plant extracts, which were screened against an in vitro panel of assays, including a liver cytochrome p450 enzyme panel, CAR/PXR signaling pathways, and P-gp transporter assays, to assess their activity. This pipeline facilitated the interrogation of Natural Product-Drug Interaction (NaPDI) through prominent metabolizing pathways. In addition, we compared the activity profiles of the DSNP/TCM substances with those of an approved drug collection. Many of the approved drugs have well-annotated mechanisms of action (MOA) while the MOAs for most of the DSNP and TCM samples remain unknown. Based on the premise that compounds with similar activity profiles tend to share similar targets or MOA, we clustered the library activity profiles to identify overlap with the NCATS Pharmaceutical Collection to predict the MOAs of the DSNP/TCM substances. Overall, we highlight four significant bioactivity profiles (measured by p-values) as examples of this prediction. These results can be used as a starting point for further exploration on the toxicity potential and clinical relevance of these substances.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- IMPPAT: A curated database of Indian Medicinal Plants, Phytochemistry And Therapeutics
Karthikeyan Mohanraj, Bagavathy Shanmugam Karthikeyan, … Areejit Samal·Scientific ReportsPeer-reviewed·Mar 6, 2018
- Comparative study of the mechanism of natural compounds with similar structures using docking and transcriptome data for improving in silico herbal medicine experimentations
Musun Park, Su‐Jin Baek, … Seongwon Cha·Briefings in BioinformaticsPeer-reviewed·Sep 14, 2023
- High-Throughput Functional Annotation of Natural Products by Integrated Activity Profiling
J. B. MacMillan, R. G. Linington, … S. Wei·bioRxiv·Jun 8, 2022
- TCMNP: a data processing and visualization database and R package for traditional Chinese medicine network pharmacology
Jinkun Liu, Jing Feng, … Ying Min·bioRxiv·Jul 13, 2024
- Discovery of Selective Nrf2 Activators from Natural Products: AComputational Screening Approach to Minimize Off-Target Effects on PXR and CYP2D6
Yue Wang, Yiwen Gong, … Haomiao Ma·bioRxiv·Apr 15, 2026
- Illuminating Dark Chemical Matter using the Cell Painting Assay
A. Pahl, J. Liu, … H. Waldmann·bioRxiv·May 31, 2023