Author

Ulices Que-Salinas

Universidad VeracruzanaORCID 0000-0002-1902-960XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1

Frequent Co-Authors

Angel D. Reyes-FigueroaiD· 1 shared Christian Quintus ScheckhuberiD· 1 shared Dulce Martinez-PeóniD· 1 shared Gerardo Maximiliano MéndeziD· 1 shared Primavera Argüelles-LuchoiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBiochemistry

Angel D. Reyes-FigueroaORCID

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1 paper

Recent·Most cited

Addressing the problem of lysine glycation prediction in proteins via Recurrent Neural Networks

Ulices Que-Salinas, Dulce Martinez-Peón, Gerardo Maximiliano Méndez, Primavera Argüelles-Lucho, Angel D. Reyes-Figueroa, 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.

BioMed Research International · Jan 1, 2025Peer-reviewedBiochemistry