On the Prediction of In Vitro Arginine Glycation of Short Peptides Using Artificial Neural Networks
On the Prediction of In Vitro Arginine Glycation of Short Peptides Using Artificial Neural Networks
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Basel: MDPI AG
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English
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Basel: MDPI AG
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One of the hallmarks of diabetes is an increased modification of cellular proteins. The most prominent type of modification stems from the reaction of methylglyoxal with arginine and lysine residues, leading to structural and functional impairments of target proteins. For lysine glycation, several algorithms allow a prediction of occurrence; thus,...
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On the Prediction of In Vitro Arginine Glycation of Short Peptides Using Artificial Neural Networks
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TN_cdi_doaj_primary_oai_doaj_org_article_969daf05ba0f4e3aa2a69f878d2c5929
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_969daf05ba0f4e3aa2a69f878d2c5929
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22145237
