QSAR-based virtual screening of traditional Chinese medicine for the identification of mitotic kinesin Eg5 inhibitors. - Damilola S. Bodun; Damilola A. Omoboyowa; Olaposi I. Omotuyi; Ezekiel A. Olugbogi; Toheeb A. Balogun; Chiamaka J. Ezeh; Emmanuel S. Omirin (Comput. Biol. Chem., 2023)

Integrating biocomputational techniques for Breast cancer drug discovery via the HER-2, BCRA, VEGF and ER protein targets. - Tope T. Odunitan; Oluwatosin A. Saibu; Boluwatife T. Apanisile; Damilola A. Omoboyowa; Toheeb A. Balogun; Adeyoola V. Awe; Temitope M. Ajayi; Grace V. Olagunju; Fatimah M. Mahmoud; Modinat Akinboade; Catherine B. Adeniji; Waliu O. Abdulazeez (Comput. Biol. Medicine, 2024)

De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning. - Damilola S. Bodun; Isiaka O. Ibrahim; Mujeebat Bashiru; Rachael Oluwakamiye Abolade; Wilberforce K. Ndarawit; Adedoyin John-Joy Owolade; Temitope A. Ogunnupebi; Ibeh John Somtochukwu; Ezekiel A. Olugbogi; Katukoliya Gamage Anuththara Samadhi; Gbolahan O. Oduselu; Suliman Sharif; et al. (Comput. Biol. Medicine, 2025)