Author

José M. Vázquez-Naya

Universidade da CoruñaORCID 0000-0002-6194-5329Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Cristian Robert MunteanuiD· 2 shared Eduardo TejeraiD· 2 shared Alejandro Cabrera‐AndradeiD· 1 shared Alejandro PazosiD· 1 shared Andrés López‐CortésiD· 1 shared César Paz‐y‐MiñoiD· 1 shared Humberto González‐DíaziD· 1 shared Santiago Xavier GuerreroiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Cristian Robert MunteanuORCID

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2 papers

Recent·Most cited

BioinformaticsBiology Methods and ProtocolsPeer-reviewedJan 1, 2026

Viral Sentry AI (VirSentAI) - Automated Zoonotic Surveillance & Drug Repurposing Agent

Cristian Robert Munteanu, José M. Vázquez-Naya, Eduardo Tejera

VirSentAI automatically surveils new viral genomes and identifies potential drug repurposing candidates for zoonotic threats.

2 citationstop 1%

DNA methylationwhole-genome sequencing

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BioinformaticsbioRxivPreprintNov 13, 2019

Prediction of breast cancer proteins using molecular descriptors and artificial neural networks: a focus on cancer immunotherapy proteins, metastasis driver proteins, and RNA-binding proteins

Andrés López‐Cortés, Alejandro Cabrera‐Andrade, José M. Vázquez-Naya…·Cristian Robert Munteanu

The paper develops an artificial neural network model to predict breast cancer-related proteins, achieving high accuracy and identifying top-ranked proteins in three categories.

3 citations

humanprotein sequence

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