Novel algorithm uses mass spec data to predict identity of molecules
A new algorithm called MolDiscovery uses mass spectrometry data from molecules to predict their identity and whether they are unknown substances.
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A new algorithm called MolDiscovery uses mass spectrometry data from molecules to predict their identity and whether they are unknown substances.
Professor Yehuda Shoenfeld suggests hyperferritinaemia, a condition caused by high ferritin levels, may be causing the severe COVID-19 symptoms.
An international team of scientists has developed a candidate identification technique in the form of an algorithm that reduces the chances of rediscovering known compounds.