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Using mass spectrometry data to expedite drug discovery

Using mass spectrometry data to expedite drug discovery
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New process could reinvigorate the search for natural product drugs to treat cancers, viral infections

New process could reinvigorate the search for natural product drugs to treat cancers, viral infections Researchers from Carnegie Mellon University s Computational Biology Department in the School of Computer Science have developed a new process that could reinvigorate the search for natural product drugs to treat cancers, viral infections and other ailments. The machine learning algorithms developed by the Metabolomics and Metagenomics Lab match the signals of a microbe s metabolites with its genomic signals and identify which likely correspond to a natural product. Knowing that, researchers are better equipped to isolate the natural product to begin developing it for a possible drug.

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