首页|Researchers at University of Calabria Have Reported New Data on Machine Learning (Machine Learning-based Prediction of Reduction Potentials for Ptiv Complexes)
Researchers at University of Calabria Have Reported New Data on Machine Learning (Machine Learning-based Prediction of Reduction Potentials for Ptiv Complexes)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Arcavacata di Rende, Italy, by NewsRx journalists, research stated, “Some of the well-known drawback s of clinically approved Pt-II complexes can be overcome using six-coordinate Pt -IV complexes as inert prodrugs, which release the corresponding four-coordinate active Pt-II species upon reduction by cellular reducing agents. Therefore, the key factor of Pt-IV prodrug mechanism of action is their tendency to be reduced which, when the involved mechanism is of outer-sphere type, is measured by the value of the reduction potential.”
Arcavacata di RendeItalyEuropeChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachine LearningUniversity of Calabria
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