首页|University of Vienna Reports Findings in Machine Learning (Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation)
University of Vienna Reports Findings in Machine Learning (Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating in Vienna, Austria, by NewsRx journalists, research stated, “The ability to determineand predict metabolically labile atom positions in a molecule (also called ‘sites of metabolism’ or ‘SoMs’)is of high interest to the design and optimization of bioactive compounds, such as drugs, agrochemicals,and cosmetics. In recent years, several in silico models for SoM prediction have become available, manyof which include a machine-learning component.”
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