首页|Study Findings on Machine Learning Detailed by Researchers at University of Medi cine and Dentistry of New Jersey (UMDNJ) (Machine learning models to predict lig and binding affinity for the orexin 1 receptor)
Study Findings on Machine Learning Detailed by Researchers at University of Medi cine and Dentistry of New Jersey (UMDNJ) (Machine learning models to predict lig and binding affinity for the orexin 1 receptor)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news reporting from Piscatawa y, New Jersey, by NewsRx journalists, research stated, "The orexin 1 receptor (O X1R) is a G-protein coupled receptor that regulates a variety of physiological p rocesses through interactions with the neuropeptides orexin A and B." Financial supporters for this research include National Institute on Drug Abuse. The news reporters obtained a quote from the research from University of Medicin e and Dentistry of New Jersey (UMDNJ): "Selective OX1R antagonists exhibit thera peutic effects in preclinical models of several behavioral disorders, including drug seeking and overeating. However, currently there are no selective OX1R anta gonists approved for clinical use, fueling demand for novel compounds that act a t this target. In this study, we meticulously curated a dataset comprising over 1300 OX1R ligands using a stringent filter and criteria cascade. Subsequently, w e developed highly predictive quantitative structureactivity relationship (QSAR ) models employing the optimized hyper-parameters for the random forest machine learning algorithm and twelve 2D molecular descriptors selected by recursive fea ture elimination with a 5-fold cross-validation process. The predictive capacity of the QSAR model was further assessed using an external test set and enrichmen t study, confirming its high predictivity. The practical applicability of our fi nal QSAR model was demonstrated through virtual screening of the DrugBank databa se."
University of Medicine and Dentistry of New Jersey (UMDNJ)PiscatawayNew JerseyUnited StatesNorth and Central Ame ricaCyborgsEmerging TechnologiesMachine Learning
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