Author

Julián Dorado

Universidade da CoruñaORCID 0000-0001-8945-2991Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Alejandro Cabrera‐AndradeiD· 1 shared Alejandro PazosiD· 1 shared Andrés López‐CortésiD· 1 shared Carlos Manuel Cruz SegundoiD· 1 shared César Paz‐y‐MiñoiD· 1 shared Cristian Robert MunteanuiD· 1 shared Eduardo TejeraiD· 1 shared Humberto González‐DíaziD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Alejandro Cabrera‐AndradeORCID

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1 paper

Recent·Most cited

Prediction of druggable proteins using machine learning and functional enrichment analysis: a focus on cancer-related proteins and RNA-binding proteins

Andrés López‐Cortés, Alejandro Cabrera‐Andrade, Carlos Manuel Cruz Segundo, Julián Dorado, Alejandro Pazos, Humberto González‐Díaz, César Paz‐y‐Miño, Yunierkis Pérez‐Castillo, Eduardo Tejera, Cristian Robert Munteanu

The paper develops a machine learning model to predict druggable proteins, achieving high accuracy, and identifies potential targets in cancer and RNA-binding proteins.

bioRxiv · Oct 31, 2019 · PreprintBioinformatics