Author

Sebastián Rivera-Orellana

Universidad de Las AméricasORCID 0009-0003-3119-9817Unclaimed 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 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrés López‐CortésiD· 2 shared Andrés Herrera-YelaiD· 1 shared Eduardo TejeraiD· 1 shared Jaime David Acosta-EspañaiD· 1 shared Jorge Espinosa-EspinosaiD· 1 shared José Rubén Ramírez-IglesiasiD· 1 shared Juan Carlos NavarroiD· 1 shared Justin YeageriD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Andrés López‐CortésORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 27, 2024

NeoPhAR: Next-generation Phage Therapy for Antimicrobial Resistance

Sebastián Rivera-Orellana, Justin Yeager, Eduardo Tejera, Andrés López‐Cortés

NeoPhAR presents a deep learning model to predict phages for therapeutic use, aiming to simplify and democratize phage therapy for AMR infections.

DOI 10.1101/2024.12.27.630320

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BioinformaticsbioRxivPreprintNov 5, 2024

Mpox Vaccine Design Through Immunoinformatics and Computational Epitope Prediction

Sebastián Rivera-Orellana, José Rubén Ramírez-Iglesias, Jaime David Acosta-España…·Andrés López‐Cortés

This paper designs a multi-epitope vaccine against Mpox virus using immunoinformatics and computational epitope prediction, showing potential for robust immune responses and population coverage.

1 citation

humanproteomics

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