BiochemistryBioMed Research InternationalPeer-reviewed
Addressing the problem of lysine glycation prediction in proteins via Recurrent Neural Networks
Ulices Que-Salinas, Dulce Martinez-Peón, Gerardo Maximiliano Méndez…·Christian Quintus Scheckhuber
This study uses recurrent neural networks to predict lysine glycation in proteins, achieving 59.6% accuracy with one physical property and 59.9% with two properties.
DOI 10.1155/bmri/2426944