1. Native metabolomics identifies the rivulariapeptolide family of protease inhibitors
- Author
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Reher, Raphael, Aron, Allegra T, Fajtová, Pavla, Stincone, Paolo, Wagner, Berenike, Pérez-Lorente, Alicia I, Liu, Chenxi, Shalom, Ido Y Ben, Bittremieux, Wout, Wang, Mingxun, Jeong, Kyowon, Matos-Hernandez, Marie L, Alexander, Kelsey L, Caro-Diaz, Eduardo J, Naman, C Benjamin, Scanlan, JH William, Hochban, Phil MM, Diederich, Wibke E, Molina-Santiago, Carlos, Romero, Diego, Selim, Khaled A, Sass, Peter, Brötz-Oesterhelt, Heike, Hughes, Chambers C, Dorrestein, Pieter C, O’Donoghue, Anthony J, Gerwick, William H, and Petras, Daniel
- Subjects
Medical Biochemistry and Metabolomics ,Analytical Chemistry ,Biomedical and Clinical Sciences ,Chemical Sciences ,Development of treatments and therapeutic interventions ,5.1 Pharmaceuticals ,Chromatography ,Liquid ,Magnetic Resonance Spectroscopy ,Metabolomics ,Protease Inhibitors ,Tandem Mass Spectrometry - Abstract
The identity and biological activity of most metabolites still remain unknown. A bottleneck in the exploration of metabolite structures and pharmaceutical activities is the compound purification needed for bioactivity assignments and downstream structure elucidation. To enable bioactivity-focused compound identification from complex mixtures, we develop a scalable native metabolomics approach that integrates non-targeted liquid chromatography tandem mass spectrometry and detection of protein binding via native mass spectrometry. A native metabolomics screen for protease inhibitors from an environmental cyanobacteria community reveals 30 chymotrypsin-binding cyclodepsipeptides. Guided by the native metabolomics results, we select and purify five of these compounds for full structure elucidation via tandem mass spectrometry, chemical derivatization, and nuclear magnetic resonance spectroscopy as well as evaluation of their biological activities. These results identify rivulariapeptolides as a family of serine protease inhibitors with nanomolar potency, highlighting native metabolomics as a promising approach for drug discovery, chemical ecology, and chemical biology studies.
- Published
- 2022