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Insights into Protein-Ligand Noncovalent Interaction Networks: A Database Survey and Quantum Chemistry Calculation Study.

PubMed
Authors: Luo R, Han Z, Li J, Chen Y, Peng Z, Zhang Q, Zhu W, Xu Z

Year

2026

Paper ID

9882

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

140

Citations

0

Abstract

Protein-ligand binding is largely determined by multiple noncovalent interactions (NCIs), which may exhibit synergistic or antagonistic effects. Here, we applied an approach combining PDB statistics with QM/MM calculations to quantify relationships among five major NCIs: halogen bonds (XB), hydrogen bonds (HB), cation-π interactions (CP), π-π interactions (PP), and salt bridges (SB). Statistical analysis showed that 69.28% of the ligands with SB acceptors interact with protein residues, followed by HB acceptors (65.21%) and XB donors (62.76%). Energy analysis revealed the strongest antagonism between the CP acceptor and SB acceptor median Δ = 1.31 kcal/mol and the strongest synergy between the HB donor and acceptor (-0.73 kcal/mol). The effects are enhanced when their interaction distances are <7.5 Å. For three-NCI systems, overall energies were well approximated by the sum of the two-NCI systems = 0.980. These results reveal a complicated NCI network, which provides guidance for rational ligand design.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • Protein-ligand binding is largely determined by multiple noncovalent interactions (NCIs), which may exhibit synergistic or antagonistic effects.

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External citation index: OpenAlex citation signal • updated 2026-06-14 01:22:04

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