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Updated: Jan 9, 2026

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Identification and Characterization of ERK2 Dimerization Inhibitors by Integrated In Silico and In Vitro Screening.

Carmen Ortiz-González1, Berta Casar2, Rafael Gozalbes1,3

  • 1MolDrug AI Systems SL, Parque Tecnológico de Valencia, 46980 Valencia, Spain.

International Journal of Molecular Sciences
|December 11, 2025
PubMed
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This summary is machine-generated.

Researchers identified new potential cancer drugs by inhibiting ERK2 dimerization. Computational and experimental methods revealed two promising molecules, Drug73 and Drug120, offering improved properties over existing inhibitors.

Area of Science:

  • Biochemistry and Molecular Biology
  • Pharmacology and Drug Discovery
  • Computational Chemistry

Background:

  • Protein-protein interactions (PPIs) are crucial for cellular processes, including the MAPK/ERK pathway.
  • Dysregulation of the MAPK/ERK pathway is linked to cancer development.
  • DEL-22379 is an ERK2 dimerization inhibitor with anti-tumoral effects.

Purpose of the Study:

  • To identify novel therapeutic molecules targeting ERK2 dimerization based on the DEL-22379 structure.
  • To explore new drug candidates for cancer therapy by inhibiting ERK2 dimerization.

Main Methods:

  • Utilized a combined computational and experimental workflow.
  • Employed in silico techniques: scaffold hopping and virtual screening.
  • Experimental screening using native PAGE electrophoresis and molecular docking.
Keywords:
ERK dimerizationERK1/2MAPK/ERK inhibitorsmolecular modelling

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Main Results:

  • Generated a dataset of 536 candidate compounds.
  • Identified two hit molecules, Drug73 and Drug120, with ERK2 dimerization inhibitory effects.
  • Drug73 and Drug120 demonstrated improved docking scores and drug-like properties compared to DEL-22379.

Conclusions:

  • Computational studies combined with experimental validation are effective for discovering new therapeutic compounds.
  • Drug73 and Drug120 represent promising leads for developing novel ERK2 dimerization inhibitors.
  • This approach can accelerate the identification of potential anti-cancer agents targeting specific PPIs.