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Publications

4 of 24 publications

  1. Adeagbo, M. A., Agbaje, H. A., & Silveira, S. A. (2026). Protein-novelty, sequence-similarity, and negative-sampling controls reveal benchmark-specific discrimination in protein–protein interaction prediction. bioRxiv. https://doi.org/10.64898/2026.10.06.757125 Details of Protein-novelty, sequence-similarity, and negative-sampling controls reveal benchmark-specific discrimination in protein–protein interaction prediction
  2. Adeagbo, M. A., Gonçalves-Almeida, V. M., Izidoro, S. C., & Silveira, S. A. (2025). predPPI-GReMLIN: prediction of protein-protein interactions through mining of conserved bipartite graphs. bioRxiv. https://doi.org/10.64898/2025.12.03.692055 Details of predPPI-GReMLIN: prediction of protein-protein interactions through mining of conserved bipartite graphs
  3. Adeagbo, M. A., & Silveira, S. A. (2025, November 25). Predicting Protein–Protein Interaction Types Using Graph-Based Surface Residue and Machine Learning. In 2ª Semana da Inteligência Artificial do IDATA, Universidade Federal de Viçosa, Brazil. Details of Predicting Protein–Protein Interaction Types Using Graph-Based Surface Residue and Machine Learning
  4. Adeagbo, M. A. (2022). pGReMLIN: prediction of ligands using conserved substructures in protein-protein interaction. M.Sc. thesis, Universidade Federal de Viçosa, Brazil. Details of pGReMLIN: prediction of ligands using conserved substructures in protein-protein interaction