Disruption of c-Myc/Max heterodimerization induced by a novel anticancer agent endowed with 1,3-diphenylurea moiety: an in silico, chemoproteomics-based, and in vitro combined approach
Year: 2025
Type: article
Abstract: The intrinsically disordered protein (IDP) c-Myc plays a crucial role in regulating cell growth, proliferation, and apoptosis, making it a significant target in cancer therapy. Herein, we report an integrated approach combining computational and biological methods to uncover key c-Myc structural aspects. A virtual screening campaign considering commercially available libraries was performed, leading to the selection of 11 promising c-Myc binders. Preliminary biophysical and biological analysis, including Surface Plasmon Resonance (SPR) and MTT [(3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide)] assays, highlighted three new potential c-Myc/Max heterodimerization inhibitors. Among them, 11 emerged as the most active one, displaying promising K D values on c-Myc (~60 μM), only slightly higher than the known binder 10058-F4 (with a dissociation constant (K D ) ~40 μM) and on Max (with a K D ~ 80 μM). Notably, 11 showed significant antiproliferative effects on three different cancer cell lines (i.e., leukemia, colorectal cancers) in a dose- and cell-dependent manner. Importantly, a significant decrease in c-Myc levels was observed, especially in U937 leukemia cells with an 85 % reduction. Finally, molecular dynamics simulations and proteomic studies further identified its binding site and key interacting residues. Summarizing, this work provides a solid research strategy and valuable insights for the identification of new c-Myc/Max disruptors.
Authors: Erica Gazzillo, Lucia Capasso, Francesca Scala, Michela Aliberti, Alessandra Capuano, Gilda D’Urso, Ines Bruno, Donato Mele, Alfonso Reginelli, Gianluigi Lauro, Agostino Casapullo, Stefania Terracciano, Lucia Altucci, Maria Giovanna Chini, Angela Nebbioso, Giuseppe Bifulco
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,390
Awards: G2218861724, G4474667827, G6617112373
OpenAlex ID: W4412507476
