Molecular networking as a dereplication strategy.

Area of Science:

• Natural Product Chemistry
• Analytical Chemistry
• Bioinformatics

Background:

• Rapid dereplication of known compounds from complex biological extracts is crucial for natural product discovery.
• Traditional dereplication strategies can be time-consuming and may miss related analogues.

Purpose of the Study:

• To demonstrate the utility of molecular networking as a powerful dereplication tool for natural product discovery.
• To showcase the ability of molecular networking to identify known compounds and related analogues in complex mixtures.

Main Methods:

• Utilizing mass spectrometry/mass spectrometry (MS/MS) data organized by chemical similarity through molecular networking.
• Correlating MS/MS spectra from natural product mixtures with databases of known standards, synthetic compounds, or well-characterized organisms.
• Applying the approach across different ionization platforms, including ambient ionization, direct infusion, and LC-based methods.

Main Results:

• Successfully applied mass spectrometry-based molecular networking to diverse marine and terrestrial microbial samples.
• Achieved dereplication of 58 known molecules, including related analogues, from complex mixtures.
• Demonstrated the capability of molecular networking to capture related chemical entities, a challenge for other methods.

Conclusions:

• Molecular networking is a powerful complement to traditional dereplication strategies in natural product discovery.
• This approach facilitates the rapid identification of known compounds and their analogues from complex biological samples.
• The ability to integrate data from various ionization platforms enhances the versatility of molecular networking for dereplication.