Aim. Development of receptor-based pharmacophore model for protein kinase Cβ(PKCβ).
Methods. Pharmacophore modeling was performed with Discovery Studio Visualizer 4.0 and PharmDeveloper software.
Results. The resulted pharamacophore model consisted of five pharamacophore features, two aromatic features without vectors, two acceptors of hydrogen bonds, one donor of acceptor bond, was generated and validated.
Conclusion. This pharmacophore model will be used for virtual screening of compound collection in order to identify potential inhibitors of PKCβ.
Keywords: protein kinase Cβ, PKCβ, pharmacophore model, pharmacophore features
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