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1.
Molecules ; 28(15)2023 Jul 28.
Article in English | MEDLINE | ID: mdl-37570695

ABSTRACT

Natural products provide an unparalleled diversity of small molecules to fuel drug screening efforts, but deconvoluting the pharmacological activity of natural product mixtures to identify key bioactive compounds remains a vexing and labor-intensive process. Therefore, we have developed a new platform to probe the non-specific pharmacological potential of compounds present in common dietary supplements via shotgun derivatization with isotopically labeled propanoic acid, a live cell affinity assay, which was used to selectively recognize the population of compounds which bind tightly to HeLa cells in culture, and a computational LC-MS data analysis of isotopically labeled compounds from cell lysate. The data analysis showed that hundreds of compounds were successfully derivatized in each extract, and dozens of those compounds showed high affinity for HeLa cells. In total, over a thousand isotopically labeled compounds were screened for cell affinity across three separate experiments, resulting in the identification of several known bioactive compounds with specific protein targets and six previously unreported structures. The new natural products include three tulsinol compounds which were isolated from Ocimum tenuiflorum and three valeraninium alkaloids from Valeriana officinalis. The valeraninium alkaloids constitute a distinct new family of alkaloids from valerian, which may have previously undescribed bioactivity. These results collectively demonstrate the tag and snag workflow's viability as a drug discovery method.


Subject(s)
Alkaloids , Biological Products , Humans , Biological Products/chemistry , HeLa Cells , Alkaloids/pharmacology , Drug Discovery/methods , Mass Spectrometry
2.
ACS Chem Biol ; 18(5): 1192-1199, 2023 05 19.
Article in English | MEDLINE | ID: mdl-37125845

ABSTRACT

The discovery of bioactive natural products lies at the forefront of human medicine. The continued discovery of these molecules is imperative in the fight against infection and disease. While natural products have historically dominated the drug market, discovery in recent years has slowed significantly, partly due to limitations in current discovery methodologies. This work demonstrates a new workflow, deuterium adduct bioactivity screening (DABS), which pairs untargeted isotope labeling with whole cell binding assays for bioactive natural product discovery. DABS was validated and led to the discovery of a new isoprenyl guanidine alkaloid, zillamycin, which showed anti-cancer and anti-microbial activities. DABS thus represents a new workflow to accelerate discovery of natural products with a wide range of bioactive potentials.


Subject(s)
Antineoplastic Agents , Biological Products , Humans , Antineoplastic Agents/pharmacology , Biological Products/chemistry , Deuterium , Drug Discovery/methods
3.
Chem Commun (Camb) ; 55(63): 9379-9382, 2019 Aug 01.
Article in English | MEDLINE | ID: mdl-31317975

ABSTRACT

Small-molecule natural products have been an essential source of pharmaceuticals to treat human diseases, but very little is known about their behavior inside dynamic, live human cells. Here, we demonstrate the first structure-activity-distribution relationship (SADR) study of complex natural products, the anti-cancer antimycin-type depsipeptides, using the emerging bioorthogonal Stimulated Raman Scattering (SRS) Microscopy. Our results show that the intracellular enrichment and distribution of these compounds are driven by their potency and specific protein targets, as well as the lipophilic nature of compounds.


Subject(s)
Antimycin A/analogs & derivatives , Antineoplastic Agents/chemistry , Depsipeptides/chemistry , Antimycin A/chemistry , Antimycin A/metabolism , Antimycin A/pharmacology , Antineoplastic Agents/metabolism , Antineoplastic Agents/pharmacology , Cell Survival/drug effects , Depsipeptides/metabolism , Depsipeptides/pharmacology , HeLa Cells , Humans , MCF-7 Cells , Microscopy, Fluorescence , Spectrum Analysis, Raman , Structure-Activity Relationship
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