Author

Bruno Rafael Florentino

Universidade de São PauloORCID 0009-0006-0078-7634Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1 Research Focus:protein design· 1

Frequent Co-Authors

Robson Parmezan BonidiaiD· 2 shared Alexander SchönhuthiD· 1 shared André C. P. L. F. de CarvalhoiD· 1 shared André Carvalho· 1 shared Ulisses Nunes da RochaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Robson Parmezan BonidiaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 21, 2026

ANIMA: predicting protein-protein interactions across species

Bruno Rafael Florentino, Robson Parmezan Bonidia, André Carvalho, Alexander Schönhuth

ANIMA predicts protein-protein interactions across species using an AI model trained on diverse animal species, achieving high accuracy in under-researched species.

DOI 10.64898/2026.09.15.751862

multiple speciesprotein sequence

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 16, 2025

BioPrediction-PPI: Simplifying the Prediction of Protein-Protein Interactions through Artificial Intelligence

Bruno Rafael Florentino, Robson Parmezan Bonidia, Ulisses Nunes da Rocha, André C. P. L. F. de Carvalho

BioPrediction-PPI is an end-to-end machine learning framework for predicting protein-protein interactions without deep learning, offering interpretability and competitive performance across multiple datasets.

DOI 10.1101/2025.11.16.688401

protein sequencemachine learning (classical)

𝕏 PostBluesky