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Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins.

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第一作者: Moritz,Ertelt
第一单位: Institute for Drug Discovery, Leipzig University Medical Faculty, Leipzig, Germany.;Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI, Dresden/Leipzig, Germany.
作者单位: Institute for Drug Discovery, Leipzig University Medical Faculty, Leipzig, Germany.;Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI, Dresden/Leipzig, Germany. [1] Center for Computational Biology, Flatiron Institute, New York, New York, United States of America. [2] Program in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America. [3] Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America. [4] Department of Chemistry, Vanderbilt University, Nashville, Tennessee, United States of America.;Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America. [5] Institute for Drug Discovery, Leipzig University Medical Faculty, Leipzig, Germany. [6] Institute for Drug Discovery, Leipzig University Medical Faculty, Leipzig, Germany.;Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI, Dresden/Leipzig, Germany.;Department of Chemistry, Vanderbilt University, Nashville, Tennessee, United States of America.;Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America. [7]
DOI 10.1371/journal.pcbi.1011939
PMID 38484014
发布时间 2024-11-09
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PLoS computational biology

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