Author

Caio Ribeiro

University of KentORCID 0000-0002-8125-8059Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:drug response / drug discovery· 2 Approach:machine learning (classical)· 2 Organism:C. elegans· 1 Organism:mouse· 1

Frequent Co-Authors

Alex Alves FreitasiD· 2 shared Chris FarmeriD· 2 shared João Pedro de MagalhãesiD· 2 shared Aleksey V. BelikoviD· 1 shared Michael PetrascheckiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Alex Alves FreitasORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 29, 2024

Predicting Mouse Lifespan-Extending Chemical Compounds with Machine Learning

Aleksey V. Belikov, Caio Ribeiro, Chris Farmer…·Alex Alves Freitas

This study uses machine learning to predict lifespan-extending compounds in mice by analyzing drug-target annotations, identifying key receptors and pathways associated with longevity.

1 citation

mousemachine learning (classical)

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BioinformaticsbioRxivPreprintNov 20, 2022

Predicting lifespan-extending chemical compounds with machine learning and biologically interpretable features

Caio Ribeiro, Chris Farmer, João Pedro de Magalhães, Alex Alves Freitas

The paper uses machine learning to predict lifespan-extending compounds in C. elegans using biological features from DrugAge data, achieving 82% and 80% accuracy with GO terms and protein interactors.

DOI 10.1101/2022.11.20.517230

C. elegansmachine learning (classical)

𝕏 PostBluesky