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Machine Learning-Based Screening Tool for Discovery and Design of Membrane-Active Peptides

詳細技術說明: Dr. Ferguson, in collaboration with colleagues from UCLA, has invented a machine-learning based tool to screen peptides for membrane activity.

*Abstract: Dr. Ferguson, in collaboration with colleagues from UCLA, has invented a machine-learning based tool to screen peptides for membrane activity. The tool itself consists of a proprietary computational platform that leverages machine learning on large, experimentally validated datasets to discover and design membrane-active –helical proteins and peptides. This results in a self-consistent screening tool that can differentiate between membrane-permeating and non-membrane-permeating helical peptides.

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