Immunoproteasome inhibition is a challenging strategy for the treatment of hematological malignancies, autoimmune and inflammatory diseases [1,2]. The search for non-covalent inhibitors of the immunoproteasome β1i/β5i catalytic subunits could be a new strategy to avoid the drawbacks of the known covalent inhibitors. Here, we report the biological evaluation of thirty-four compounds selected from commercial libraries. A virtual screening strategy including a dynamic pharmacophore modeling approach onto the β1i subunit and a pharmacophore/docking approach onto the β5i subunit aided the identification of these hits [3]. Compound 3 is the most active onto β1i subunit with Ki = 11.84±1.63 µM, compound 17 showed Ki = 12.50±0.77 µM onto β5i subunit. Compound 2 showed inhibitory activity on both subunits (Ki = 12.53±0.18 Ki = 31.95±0.81 onto β1i subunit and β5i subunit, respectively). The hit compounds identified represent an interesting starting point for further optimization.
Giulia Culletta, Marco Tutone, Roberta Ettari, Ugo Perricone, Carla Di Chio, Anna Maria Almerico, et al. (2023). Non-covalent immunoproteasome inhibitors: virtual screening and in vitro test on β1i /β5i subunits. In Non-covalent immunoproteasome inhibitors: virtual screening and in vitro test on β1i /β5i subunits.
Non-covalent immunoproteasome inhibitors: virtual screening and in vitro test on β1i /β5i subunits
Giulia Culletta
Primo
;Marco Tutone;Ugo Perricone;Anna Maria Almerico;
2023-01-01
Abstract
Immunoproteasome inhibition is a challenging strategy for the treatment of hematological malignancies, autoimmune and inflammatory diseases [1,2]. The search for non-covalent inhibitors of the immunoproteasome β1i/β5i catalytic subunits could be a new strategy to avoid the drawbacks of the known covalent inhibitors. Here, we report the biological evaluation of thirty-four compounds selected from commercial libraries. A virtual screening strategy including a dynamic pharmacophore modeling approach onto the β1i subunit and a pharmacophore/docking approach onto the β5i subunit aided the identification of these hits [3]. Compound 3 is the most active onto β1i subunit with Ki = 11.84±1.63 µM, compound 17 showed Ki = 12.50±0.77 µM onto β5i subunit. Compound 2 showed inhibitory activity on both subunits (Ki = 12.53±0.18 Ki = 31.95±0.81 onto β1i subunit and β5i subunit, respectively). The hit compounds identified represent an interesting starting point for further optimization.File | Dimensione | Formato | |
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