Author

Moruf Adedeji Adeagbo

Universidade Federal de ViçosaORCID 0000-0002-1664-2070Unclaimed 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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Research Focus:benchmarking· 1 Approach:graph neural network· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Organism:yeast· 1

Frequent Co-Authors

Sabrina de Azevedo SilveiraiD· 2 shared Halimah A. AgbajeiD· 1 shared Sandro Carvalho IzidoroiD· 1 shared Valdete M. Gonçalves-AlmeidaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Sabrina de Azevedo SilveiraORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 14, 2026

Protein novelty, sequence similarity, and negative sampling controls reveal benchmark specific discrimination in protein protein interactionprediction

Moruf Adedeji Adeagbo, Halimah A. Agbaje, Sabrina de Azevedo Silveira

The paper evaluates PPI predictors using controlled benchmarks and finds that performance varies with protein novelty and negative set characteristics, not generalizable to sequence-based models.

DOI 10.64898/2026.10.06.757125

yeastprotein sequence

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 6, 2025

predPPI-GReMLIN: prediction of protein-protein interactions through mining of conserved bipartite graphs

Moruf Adedeji Adeagbo, Valdete M. Gonçalves-Almeida, Sandro Carvalho Izidoro, Sabrina de Azevedo Silveira

predPPI-GReMLIN predicts protein-protein interactions by analyzing conserved bipartite graphs, achieving high accuracy across multiple datasets.

1 citation

protein structuregraph neural network

𝕏 PostBluesky