首页|Institute for Medicinal Plant Research Reports Findings in Support Vector Machin es (Application of parallel artificial membrane permeability assay technique and chemometric modeling for blood-brain barrier permeability prediction of protein ...)
Institute for Medicinal Plant Research Reports Findings in Support Vector Machin es (Application of parallel artificial membrane permeability assay technique and chemometric modeling for blood-brain barrier permeability prediction of protein ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Support Vector Machine s is the subject of a report. According tonews originating from Belgrade, Serbi a, by NewsRx correspondents, research stated, “This study aims to investigate th e passive diffusion of protein kinase inhibitors through the blood-brain barrier (BBB) and todevelop a model for their permeability prediction. We used the par allel artificial membrane permeabilityassay to obtain logPe values of each of 3 4 compounds and calculated descriptors for these structures toperform quantitat ive structure-property relationship modeling, creating different regression mode ls.”
BelgradeSerbiaEuropeBlood Brain Ba rrierBlood-Brain BarrierBrain ResearchCentral Nervous SystemChemometricEmerging TechnologiesEnzymes and CoenzymesHealth and MedicineKinaseMach ine LearningPhosphotransferases (Alcohol Group Acce