Author

Natalia Valderrama

Florida State University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Carolina Muñoz-CamargoiD· 1 shared Cristina GonzáleziD· 1 shared Juan C. CruziD· 1 shared Laura Alexandra DazaiD· 1 shared Linda RinamaniD· 1 shared María José PolancoiD· 1 shared Marie K. HoltiD· 1 shared Pablo ArbeláeziD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Carolina Muñoz-CamargoORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Modulation of stress-related behaviour by hypothalamic engagement of preproglucagon neurons in the nucleus of the solitary tract

Marie K. Holt, Natalia Valderrama, María José Polanco, Linda Rinaman

This study identifies a hypothalamic-brainstem pathway involving PPG neurons in stress-induced anxiety-like behaviours and hypophagia, with sex-dependent effects.

bioRxiv · Feb 4, 2022 · PreprintNeuroscience

PharmaNet: Pharmaceutical discovery with deep recurrent neural networks.

Paola Ruiz Puentes, Natalia Valderrama, Cristina González, Laura Alexandra Daza, Carolina Muñoz-Camargo, Juan C. Cruz, Pablo Arbeláez

PharmaNet uses deep RNNs to predict drug-target interactions, achieving high accuracy in ligand prediction and identifying potential antiviral compounds.

PLoS ONE · Apr 26, 2021Peer-reviewedBioinformatics