Evidence map›Paper›PMID 42106528›Full record

ArticleScientific reports2026

Structure-based virtual screening identifies novel small-molecule inhibitors targeting the endonuclease active site of APE1.

Tianzhu Shen, Hongfei Shen, Yun Kong, Weidong Qiang, Xinwei Yu, Jiaping Wang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tianzhu ShenThe Second Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China.
Hongfei ShenThe Second Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China.
Yun KongThe Second Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China.
Weidong QiangCollege of Medicine, Huanghuai University, Zhumadian, 463000, China.
Xinwei YuThe Second Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China.
Jiaping WangThe Second Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China. 13511306451@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Apurinic/apyrimidinic endonuclease 1 (APE1) is a key enzyme in the base excision repair (BER) pathway, and its aberrant overexpression is closely associated with poor prognosis, enhanced invasiveness, and therapeutic resistance in multiple cancers, making it an attractive anticancer drug target. In this study, a systematic structure-based virtual screening workflow was established using the crystal structure of the APE1 endonuclease active pocket (PDB ID: 7TC2) to screen approximately 1.529 million small molecules collected from the DrugBank, TargetMol, Specs, and ChemDiv databases. Through multi-step filtering involving drug-likeness evaluation, molecular docking, interaction fingerprint (IFP) screening, conformational strain energy assessment, and MM/GBSA binding free energy calculations, a set of candidate compounds with predicted affinity toward APE1 was identified. Representative hit compounds from different databases were further subjected to binding mode analysis and 100 ns molecular dynamics simulations. Computational analyses suggested that these candidate compounds were able to maintain hydrogen-bonding and hydrophobic interactions with key residues in the APE1 active site. Among them, DB02187 and T9286 exhibited more favorable computational performance than the reference ligand in multiple dimensions, including complex stability, per-residue energy contribution, and free energy landscape profiles. In contrast, although HIT107168463 exhibited favorable static binding energy, it showed relatively poor dynamic stability. Overall, DB02187 and T9286 displayed favorable predicted binding features and may represent candidate scaffolds for future experimental validation and lead optimization.

Indexed as

DNA-(Apurinic or Apyrimidinic Site) LyaseEnzyme InhibitorsSmall Molecule LibrariesCatalytic DomainDrug Evaluation, PreclinicalHumansHydrogen BondingLigandsMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingAPEX1 protein, humanDNA-(Apurinic or Apyrimidinic Site) LyaseEnzyme InhibitorsLigandsSmall Molecule Librariesanticancer drug discoveryAPE1MM/GBSAmolecular dockingmolecular dynamics simulationvirtual screening

Identifiers

PMID42106528
PMCPMC13346695

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.