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

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 a...

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Bibliographic Details
Main Authors: Ulices Que-Salinas, Dulce Martinez-Peon, Angel D. Reyes-Figueroa, Ivonne Ibarra, Christian Quintus Scheckhuber
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
amino acids
arginine
artificial neural network
glycation
methylglyoxal
modification probability
Online Access:https://www.mdpi.com/1424-8220/22/14/5237

Internet

https://www.mdpi.com/1424-8220/22/14/5237

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