New algorithm efficiently finds antibiotic candidates

In an article published today in the journal Nature Communications, researchers from Carnegie Mellon University; the University of California, San Diego; and St. Petersburg State University in Russia describe a new means of searching vast repositories of compounds produced by microbes. By analyzing the mass spectra of the compounds, they were able to identify known compounds within the repository and eliminate them from further analysis, focusing instead on the unknown variants that might potentially be better or more efficient antibiotics, anticancer drugs or other pharmaceuticals.