Author

Emilio Serrano

Universidad Politécnica de MadridORCID 0000-0001-7587-0703Unclaimed 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:drug response / drug discovery· 1 Approach:graph neural network· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Alejandro Rodríguez‐GonzáleziD· 2 shared Adrián Ayuso-MuñoziD· 1 shared Ana González-Herrero· 1 shared Andrea Álvarez-PéreziD· 1 shared Belén Otero-CarrascoiD· 1 shared Lucia Prieto SantamaríaiD· 1 shared Paloma Tejera NevadoiD· 1 shared Rodrigo Bermejo-Moreno· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Alejandro Rodríguez‐GonzálezORCID

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2 papers

Recent·Most cited

BioinformaticsProceedings - IEEE Symposium on Computer-Based Medical SystemsPeer-reviewedJun 1, 2023

Enhancing drug repurposing on graphs by integrating drug molecular structure as feature

Adrián Ayuso-Muñoz, Lucia Prieto Santamaría, Andrea Álvarez-Pérez…·Alejandro Rodríguez‐González

This paper improves drug repurposing by integrating 2D drug molecular structures into graph neural networks, achieving higher AUROC and AUPRC scores than previous methods.

8 citations

graph neural networkdrug response / drug discovery

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BioinformaticsbioRxivPreprintMay 17, 2023

Analysis of the Confidence in the Prediction of the Protein Folding by Artificial Intelligence

Paloma Tejera Nevado, Emilio Serrano, Ana González-Herrero…·Alejandro Rodríguez‐González

This work evaluates the confidence of deep learning models in predicting protein folding using two proteins with four domains of unknown function.

1 citation

protein structuredeep learning

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