首页|Shenyang Pharmaceutical University Reports Findings in Machine Learning (Docking Score ML: Target-Specific Machine Learning Models Improving Docking-Based Virtu al Screening in 155 Targets)
Shenyang Pharmaceutical University Reports Findings in Machine Learning (Docking Score ML: Target-Specific Machine Learning Models Improving Docking-Based Virtu al Screening in 155 Targets)
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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 from Shenyang, People’s Repub lic of China, by NewsRx journalists, research stated, “In drugdiscovery, molecu lar docking methods face challenges in accurately predicting energy. Scoring fun ctionsused in molecular docking often fail to simulate complex protein-ligand i nteractions fully and accuratelyleading to biases and inaccuracies in virtual s creening and target predictions.”
ShenyangPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning
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