Comparative binding mechanisms of SND1 with MTDH and small-molecule inhibitors: Insights from molecular dynamics simulation and free energy calculation

Abstract

The protein-protein interaction (PPI) between Metadherin (MTDH) and Staphylococcal nuclease domain-containing protein 1 (SND1) is a pivotal oncogenic driver in various cancers, yet the atomic-level details of its binding mechanism remain elusive, hindering targeted drug discovery. This study employs integrated computational approaches, including molecular dynamics (MD) simulations, binding free energy calculations, and residue interaction network analysis, to identify hotspot residues at the MTDH-SND1 interface and elucidate the binding mechanism. The results demonstrate that the MTDH-SND1 complex exhibits strong binding affinity, primarily driven by electrostatic and hydrophobic interactions. Structural stability analysis confirmed the complex's integrity during simulations, while dynamic cross-correlation and contact probability analyses revealed a key interaction region (R1) with correlated motions. Hydrogen bond analysis identified a stable network involving residues Arg239, Arg243, and Hie263, which are confirmed as hotspot residues by alanine scanning mutagenesis method. Furthermore, the binding and interaction mechanisms between SND1 and 12 activity-known small molecule inhibitors were investigated and compared with that in MTDH-SND1 complex. Energy decomposition highlighted that the conserved triad-Arg239, Arg243, and Hie263-is crucial across all systems. The work provides unprecedented atomic-level insights into the MTDH-SND1 interaction and offers a robust structural foundation for the rational design of high-affinity inhibitors against this oncogenic PPI.

Supplementary files

Article information

Article type
Paper
Submitted
03 Nov 2025
Accepted
22 Mar 2026
First published
23 Mar 2026

Phys. Chem. Chem. Phys., 2026, Accepted Manuscript

Comparative binding mechanisms of SND1 with MTDH and small-molecule inhibitors: Insights from molecular dynamics simulation and free energy calculation

X. Zhu, J. Chang, M. Fang, X. Wu, Z. Yin, J. Z.H. Zhang, F. Qi, T. Zhu and Y. Gao, Phys. Chem. Chem. Phys., 2026, Accepted Manuscript , DOI: 10.1039/D5CP04225A

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