首页|University of Utah Reports Findings in Machine Learning (One Descriptor to Fold Them All: Harnessing Intuition and Machine Learning to Identify Transferable Las so Peptide Reaction Coordinates)
University of Utah Reports Findings in Machine Learning (One Descriptor to Fold Them All: Harnessing Intuition and Machine Learning to Identify Transferable Las so Peptide Reaction Coordinates)
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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 out of Salt Lake City, Utah, by NewsRx editors, research stated, “Identifying optimal reactioncoordinates fo r complex conformational changes and protein folding remains an outstanding chal lenge.This study combines collective variable (CV) discovery based on chemical intuition and machine learningwith enhanced sampling to converge the folding fr ee energy landscape of lasso peptides, a unique class ofnatural products with k not-like tertiary structures.”
Salt Lake CityUtahUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningPeptid esProteinsProteomics
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