首页|Universidad San Francisco de Quito Reports Findings in Machine Learning (Computa tional approaches for lead compound discovery@@in dipeptidyl peptidase-4 inhibiti on using machine learning and@@molecular dynamics techniques)
Universidad San Francisco de Quito Reports Findings in Machine Learning (Computa tional approaches for lead compound discovery@@in dipeptidyl peptidase-4 inhibiti on using machine learning and@@molecular dynamics techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news originating fromQuito, Ecuador, by NewsRx corresp ondents, research stated, “The prediction of possible lead compoundsfrom alread y-known drugs that may present DPP-4 inhibition activity imply a advantage in th e drugdevelopment in terms of time and cost to find alternative medicines for t he treatment of Type 2 DiabetesMellitus (T2DM). The inhibition of dipeptidyl pe ptidase-4 (DPP-4) has been one of the most exploredstrategies to develop potent ial drugs against this condition.”
QuitoEcuadorSouth AmericaCyborgsDipeptidyl PeptidaseEmerging TechnologiesEnzymes and CoenzymesMachine Lear ningMolecular DynamicsPeptidasePhysicsProteinsProteomics
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