Within the microscopic boundaries of a single human cell, the intricate folds and arrangements of protein and DNA bundles dictate a person's fate: which genes are expressed, which are suppressed, and -; importantly -; whether they stay healthy or develop disease.
Algorithm uses mass spectrometry data to predict identity of molecules eurekalert.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eurekalert.org Daily Mail and Mail on Sunday newspapers.
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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.
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.