Structure-guided delineation of umbelliferyl phosphate-based disruptors of the c-Myb-CBP/p300 KIX protein-protein interaction.

The interaction between c-Myb and the CBP/p300 KIX domain is a critical transcriptional regulatory event and an attractive target for the development of candidate disruptors of the recombinant c-Myb-KIX interaction. In this study, we used an integrated computational and experimental strategy to identify new small molecules capable of disrupting this protein-protein interaction. A focused Umbelliferyl phosphate scaffold library was subjected to stepwise virtual screening via drug-likeness assessment and docking to the c-Myb-binding region of the KIX domain and short molecular dynamics refinement. Selected compounds were then evaluated by 500 ns molecular dynamics simulations, MM/PBSA analysis, free energy landscape (FEL) mapping, and finally by microscale thermophoresis (MST) assay. Computational analyses showed that stable ligand binding did not necessarily translate into disruption of the c-Myb-KIX interface, allowing separation of compounds that stabilized the complex from those predicted to weaken it. Consistent with this distinction, ΔΔGPPIanalysis identified only MUP and Naphthol AS-BI phosphate as protein-protein interaction-weakening ligands, with Naphthol AS-BI phosphate showing the strongest predicted disruptive effect (ΔΔGPPI=+3.25 kcal/mol), whereas DiFMUP and Naphthol AS-D phosphate were predicted to stabilize the complex. Among the tested molecules, Naphthol AS-BI phosphate showed the clearest disruption-like behavior in silico and was the most potent inhibitor in vitro, with an IC₅₀ of 18.9 ± 0.6 μM. Importantly, MUP emerged as the most promising umbelliferyl phosphate-derived hit, displaying measurable inhibitory activity (IC₅₀ = 33.5 ± 0.3 μM) comparable to the reference Naphthol AS-E phosphate (IC₅₀ = 31.2 ± 1.3 μM) and a more favorable predicted ADMET profile. Overall, this work identifies new chemical starting points for targeting the c-Myb-CBP/p300 KIX interaction and supports MUP as an attractive scaffold for further optimization.