首页|Friedrich-Schiller-University Jena Reports Findings in Machine Learning (Machine Learning Uncovers Natural Product Modulators of the 5-Lipoxygenase Pathway and Facilitates the Elucidation of Their Biological Mechanisms)
Friedrich-Schiller-University Jena Reports Findings in Machine Learning (Machine Learning Uncovers Natural Product Modulators of the 5-Lipoxygenase Pathway and Facilitates the Elucidation of Their Biological Mechanisms)
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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 newsoriginating from Jena, Germany, by NewsRx correspondents, research stated, “Machine learning (ML)models have made inroads into chemical sciences, with optimization of chemical reactions and prediction ofbiologically active molecules being prime examples thereof. These models excel where physical experimentsare expensive or time-consuming, for example, due to large scales or the need for materials that are difficultto obtain.”
JenaGermanyEuropeCarrier ProteinsCyborgsDioxygenasesEmerging TechnologiesEnzymes and CoenzymesLipoxygenaseMachine LearningMetalloproteinsNonheme Iron ProteinsOxidoreductases
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