Structure-based virtual screening identifies novel small-molecule inhibitors targeting the endonuclease active site

Tianzhu Shen1, Hongfei Shen1, Yun Kong1

  • 1The Second Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China.

Scientific Reports
|May 9, 2026
PubMed

Insights

Apurinic/apyrimidinic endonuclease 1 (APE1) is a cancer target. Virtual screening identified potential drug candidates, DB02187 and T9286, showing promising binding and stability for APE1 inhibition.

Area of Science:

  • Biochemistry
  • Computational Chemistry
  • Drug Discovery

Background:

  • Apurinic/apyrimidinic endonuclease 1 (APE1) is crucial in DNA repair and linked to cancer progression and treatment resistance.
  • APE1's role makes it a significant target for developing novel anticancer therapies.

Purpose of the Study:

  • To identify novel small molecules with inhibitory potential against APE1 using structure-based virtual screening.
  • To evaluate the binding affinity and stability of candidate compounds computationally.

Main Methods:

  • A structure-based virtual screening workflow was employed, screening over 1.5 million compounds against the APE1 active site (PDB ID: 7TC2).
  • Multi-step filtering included drug-likeness, molecular docking, interaction fingerprint analysis, conformational strain energy assessment, and MM/GBSA calculations.
  • Selected compounds underwent binding mode analysis and 100 ns molecular dynamics simulations to assess dynamic stability and interactions.

Main Results:

  • The screening identified several candidate compounds with predicted affinity for the APE1 active site.
  • Compounds DB02187 and T9286 demonstrated superior computational performance, including complex stability and favorable binding interactions, compared to a reference ligand.
  • While HIT107168463 showed good static binding energy, its dynamic stability was less favorable.

Conclusions:

  • DB02187 and T9286 exhibit promising computational features for APE1 inhibition.
  • These compounds represent potential scaffolds for further experimental validation and lead optimization in anticancer drug development.

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