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Publications

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., Ibrahim, W. A., & de Azevedo Silveira, S. (2026). Integrating multi-criteria decision-making and machine learning for fingerprint selection and virtual screening of Acetylcholinesterase inhibitors. Journal of Cheminformatics. https://doi.org/10.1186/s13321-026-01300-8 Details of Integrating multi-criteria decision-making and machine learning for fingerprint selection and virtual screening of Acetylcholinesterase inhibitors
  3. Adeagbo, M. A., Ibrahim, W. A., & Ortil, M. (2026). Temporal Generalization and Global Stability of Resource Importance in Software Developer Compensation Models in Stack Overflow Surveys. Science of Computer Programming. Details of Temporal Generalization and Global Stability of Resource Importance in Software Developer Compensation Models in Stack Overflow Surveys
  4. 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
  5. 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