首页|Optibrium Limited Reports Findings in Machine Learning (Transferable Machine Learning Interatomic Potential for Bond Dissociation Energy Prediction of Drug-like Molecules)
Optibrium Limited Reports Findings in Machine Learning (Transferable Machine Learning Interatomic Potential for Bond Dissociation Energy Prediction of Drug-like Molecules)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to news originating from Cambridge, United Kingdom, by NewsRx correspondents, research stated, “We present atransferable MACE interatomic potential that is applicable to open- and closed-shell drug-like moleculescontaining hydrogen, carbon, and oxygen atoms. Including an accurate description of radical speciesextends the scope of possible applications to bond dissociation energy (BDE) prediction, for example, inthe context of cytochrome P450 (CYP) metabolism.”
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