Cell biochemistry and biophysics · 2026
1H-Indazole-3-Carboxylic Acid Derivatives as Disruptors of the Oncogenic MTDH-SND1 Protein-Protein Interaction: An In Silico-to-In Vitro Study.
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Kamel Emadeldin M, Khadrawy Sally Mostafa, Allam Ahmed A, Othman Sarah I, Abalkhail Adil, Alkhayl Faris F Aba, Lamsabhi Al Mokhtar
Аннотация
The metadherin (MTDH)-staphylococcal nuclease domain-containing protein 1 (SND1) interaction is an oncogenic protein-protein interaction (PPI) linked to cancer cell survival, progression, and metastasis, but small-molecule disruptors remain scarce. Here, we developed an integrated in silico-to-in vitro workflow to discover 1 H-indazole-3-carboxylic acid derivatives as MTDH-SND1 PPI disruptors. A focused library of 399 compounds was processed through a funnel-based screening pipeline comprising drug-likeness and PAINS/reactivity filtering, diversity/purchasability triage, AutoDock Vina docking, and short molecular dynamics (MD) refinement with MM/PBSA rescoring. Three compounds (IC1-IC3) were prioritized for 1,000-ns MD simulations and mechanistic analysis. Docking and MD showed that all three compounds bind the targeted SND1 interfacial groove, but with different functional consequences. PPI-oriented MM/PBSA, FEL, and trajectory-based disruption metrics consistently ranked IC2 as the strongest predicted disruptor, IC1 as a moderate disruptor, and IC3 as a non-disruptive interfacial binder despite favorable direct binding energy. Free-energy landscape analysis further showed that IC2 most strongly remodeled the conformational landscape of the MTDH-SND1 complex, whereas IC3 remained confined to a more stable, non-disruptive basin. Split-luciferase complementation assays validated these predictions. In cell-free assays, IC50 values were 2.94 ± 0.35 µM (IC2), 4.19 ± 0.48 µM (IC1), and 116.29 ± 5.21 µM (IC3). In SCP28 cell-based assays, IC50 values were 12.08 ± 1.4 µM, 18.0 ± 2.1 µM, and 337 ± 12.9 µM, respectively, while linked-luciferase counter-screen IC50 values exceeded 1,000 µM for all compounds. ADMETlab 3.0 profiling identified IC1 as the most balanced developability candidate, whereas IC2 remained the lead efficacy-prioritized hit for subsequent optimization efforts.