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Updated: Oct 9, 2025

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
Published on: March 12, 2020
Drug discovery from natural products using affinity selection-mass spectrometry.
Ruth N Muchiri1, Richard B van Breemen1
1Linus Pauling Institute, Oregon State University, Corvallis, OR 97331, United States; College of Pharmacy, Oregon State University, Corvallis, OR 97331, United States.
Affinity selection-mass spectrometry (AS-MS) rapidly identifies drug lead compounds from natural sources. This method efficiently isolates active molecules from complex mixtures for mass spectrometric analysis and structural determination.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Pharmacology
Background:
- Affinity selection-mass spectrometry (AS-MS) is a powerful technique for drug discovery.
- It enables the isolation of pharmacologically active small molecules from complex natural product mixtures.
- AS-MS offers advantages over traditional screening methods, including compatibility with diverse biological components.
Purpose of the Study:
- To highlight the utility of AS-MS as a starting point for drug discovery.
- To describe the principles and successful variations of AS-MS.
- To detail the process of identifying and characterizing lead compounds using AS-MS.
Main Methods:
- Utilizing binding interactions between macromolecular receptors and low molecular mass ligands.
- Employing separation techniques such as pulsed ultrafiltration (PUF) AS-MS, size exclusion chromatography (SEC) AS-MS, and magnetic microbead affinity selection screening (MagMASS).
- Characterizing isolated ligands using high-resolution UHPLC-MS and tandem mass spectrometry, with structural elucidation via 2D NMR and MS.
Main Results:
- AS-MS successfully isolates pharmacologically active small molecules from diverse botanical, fungal, and microbial extracts.
- The method is compatible with various receptors, enzymes, buffers, cofactors, and ligands, requiring no radiolabels or chromophores.
- Identified lead compounds are characterized by elemental composition and structural data, enabling database searching and comparison with standards.
Conclusions:
- AS-MS is an efficient and versatile platform for discovering lead compounds from natural products.
- The technique facilitates rapid characterization and identification of active molecules.
- AS-MS provides a label-free, broadly applicable approach for early-stage drug discovery.
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