首页|University of Florence Reports Findings in Machine Learning (Leveraging Machine Learning-Guided Molecular Simulations Coupled with Experimental Data to Decipher Membrane Binding Mechanisms of Aminosterols)

University of Florence Reports Findings in Machine Learning (Leveraging Machine Learning-Guided Molecular Simulations Coupled with Experimental Data to Decipher Membrane Binding Mechanisms of Aminosterols)

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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 originating in Florence, Ital y, by NewsRx journalists, research stated, “Understanding the molecularmechanis ms of the interactions between specific compounds and cellular membranes is esse ntial fornumerous biotechnological applications, including targeted drug delive ry, elucidation of the drug mechanismof action, pathogen identification, and no vel antibiotic development. However, estimation of thefree energy landscape ass ociated with solute binding to realistic biological systems is still a challengi ngtask.”

FlorenceItalyEuropeCyborgsDrugs and TherapiesEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.24)