首页|Departamento de Quimica Reports Findings in Machine Learning (Target Fisher: A C onsensus Structure-Based Target Prediction Tool, and its Application in the Disc overy of Selective MAO-B Inhibitors)
Departamento de Quimica Reports Findings in Machine Learning (Target Fisher: A C onsensus Structure-Based Target Prediction Tool, and its Application in the Disc overy of Selective MAO-B Inhibitors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of La Plata, Argentina, b y NewsRx editors, research stated, “In this work we introduce TargetFisher, a c onsensus structure-based target prediction tool that integrates molecular dockin g and machinelearning with the aim to aid in the identification of potential bi ological targets and the optimization ofthe use of bioassays. Target Fisher use s per-residue energy decomposition profiles extracted from dockingposes as fing erprints to train target-specific machine learning models.”
La PlataArgentinaSouth AmericaCybo rgsEmerging TechnologiesMachine Learning
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