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Innovative Medicines & Omics                                            Modeling Aurora-B kinase inhibitors



              A detailed SAR analysis was performed to evaluate how   sourced from the Maybridge and NCI databases. These
            specific molecular features influence the binding affinity   lead compounds showed interactions with the Aurora-B
            and inhibitory potential of the lead compounds. Effective   binding pocket, underscoring their potential for further
            kinase inhibitors rely on key pharmacophoric features   exploration. Specifically, we found that LYS 106, ALA
            facilitating interactions with the active site of the Aurora-B   157, GLU 161, and PHE 219 play pivotal roles in ligand
            kinase protein. These features include hydrogen bond   binding, highlighting these residues as key targets for
            donors and acceptors, hydrophobic regions, aromatic   future Aurora-B inhibitor development.
            rings, charged functional groups, and other functional
            moieties – such as benzimidazole, benzothiazole,   Acknowledgments
            and benzodioxole. The molecular docking and MD     None.
            simulations  provided  insights  into  these  interactions,
            revealing  that  hydrogen  bond  formation  plays  a  crucial   Funding
            role in stabilizing the protein-ligand complex. The lead   None.
            compounds demonstrated varying degrees of hydrogen
            bonding with key amino acid residues, such as ALA 157,   Conflict of interest
            LYS  106,  and  PHE  219,  reinforcing  their  role  in  kinase
            inhibition.  Furthermore,  π-π  stacking  and  hydrophobic   The authors declare that they have no competing interests.
            interactions observed in multiple lead compounds   Author contributions
            suggest that aromatic moieties are essential for improving
            binding affinity. Electrostatic interactions, particularly   Conceptualization: Athavan Alias Anand Selvam, Kabilan
            those involving nitrogen and sulfur-containing functional   Senthamaraikannan
            groups, contributed significantly to the stability of some   Formal analysis: Athavan Alias Anand Selvam, Sunil
            lead  compounds,  mirroring  similar  interaction  patterns   Kumar Bandral
            observed in known Aurora-B inhibitors. Water bridge   Investigation: Kabilan Senthamaraikannan
            interactions further  supported  the stabilization  of the   Methodology: Athavan Alias Anand Selvam
            complexes, emphasizing the role of solvent-mediated   Visualization: Athavan Alias Anand Selvam
            interactions in ligand binding. MD simulations confirmed   Writing – original draft: Athavan Alias Anand, Parasuraman
            the dynamic behavior of the lead compounds, with RMSD   Pavadai
            plots indicating stable conformations within the binding   Writing – review & editing: Athavan Alias Anand Selvam,
            pocket. Collectively, the structural comparison and SAR   Kabilan Senthamaraikannan
            analysis suggest that the identified lead compounds exhibit   Ethics approval and consent to participate
            key  pharmacophoric  features  essential  for  Aurora-B
            kinase inhibition. Their resemblance to known inhibitors,   Not applicable.
            both  in  core  scaffold  architecture  and  functional  group
            distribution, strongly supports their potential as promising   Consent for publication
            drug candidates.                                   Not applicable.

            4. Conclusion                                      Availability of data
            Our findings suggest that the AADRR pharmacophore   Data are available from the corresponding author on
            model, docking studies, and MD simulations provide   reasonable request.
            valuable structural insights for Aurora-B kinase inhibition.
            Notably, previous studies identified interactions between   Further disclosure
            specific residues (LEU 83, PHE 88, VAL 91, ALA 157,   The paper has been deposited in a preprint server (https://
            and GLU 155) within the Aurora-B binding pocket,   doi.org/10.1101/2024.07.29.605534)
            leading to the development of a pharmacophoric model
            with seven distinct features, including two hydrophobic   References
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            Volume 2 Issue 2 (2025)                        110                               doi: 10.36922/imo.6547
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