An interdisciplinary team of researchers at the University of California San Diego has developed a method to identify the molecular structures of natural products that is significantly faster and more accurate than existing methods. The method works like facial recognition for molecular structures: It uses a piece of spectral data unique to each molecule and then runs it through a deep learning neural network to place the unknown molecule in a cluster of molecules with similar structures.
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