molecules Article Structure-Based Discovery and Bioactivity Evaluation of Novel Aurora-A Kinase Inhibitors as Anticancer Agents via Docking-Based Comparative Intermolecular Contacts Analysis (dbCICA) Majd S. Hijjawi 1 , Reem Fawaz Abutayeh 2 and Mutasem O. Taha 3,* 1 Department of Pharmacology, Faculty of Medicine, The University of Jordan, Amman 11942, Jordan;
[email protected] 2 Department of Pharmaceutical Chemistry and Pharmacognosy, Faculty of Pharmacy, Applied Science Private University, Amman 11931, Jordan;
[email protected] 3 Department of Pharmaceutical Sciences, Faculty of Pharmacy, University of Jordan, Amman 11942, Jordan * Correspondence:
[email protected]; Tel.: +962-6-535-5000 Academic Editors: Helen Osborn, Mohammad Najlah, Jean Jacques Vanden Eynde, Annie Mayence and Tien L. Huang Received: 15 October 2020; Accepted: 11 December 2020; Published: 18 December 2020 Abstract: Aurora-A kinase plays a central role in mitosis, where aberrant activation contributes to cancer by promoting cell cycle progression, genomic instability, epithelial-mesenchymal transition, and cancer stemness. Aurora-A kinase inhibitors have shown encouraging results in clinical trials but have not gained Food and Drug Administration (FDA) approval. An innovative computational workflow named Docking-based Comparative Intermolecular Contacts Analysis (dbCICA) was applied—aiming to identify novel Aurora-A kinase inhibitors—using seventy-nine reported Aurora-A kinase inhibitors to specify the best possible docking settings needed to fit into the active-site binding pocket of Aurora-A kinase crystal structure, in a process that only potent ligands contact critical binding-site spots, distinct from those occupied by less-active ligands. Optimal dbCICA models were transformed into two corresponding pharmacophores.