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2026-06-09 PubMed

Milk-derived peptides 41 and 49 computationally identified as potent ERK2 inhibitors for anticancer therapy

Milk-derived bioactive peptides as prospective ERK2 inhibitors: A computational screening strategy toward anticancer therapeutics.

Background

ERK2 (Extracellular signal-regulated kinase 2) is a critical regulator of cellular signaling, but its overexpression significantly drives carcinoma proliferation. Current MAPK pathway inhibitors often lack specificity, leading to off-target effects and compensatory activation of upstream proteins like SOS, RAS, and RAF. A promising strategy for selective ERK2 suppression involves targeting its D-recruitment site (DRS) with peptide-based inhibitors, offering a path to develop highly specific anticancer therapeutics with reduced side effects.

Study Design

Researchers computationally screened a comprehensive milk bioactive peptide database, selecting 108 peptides with known anticancer and antioxidant activities. The HADDOCK 2.4 software's ability to predict peptide-ERK2 docking modes was validated against experimental data. Subsequently, the top-ranked peptides based on docking scores were advanced for 200 ns molecular dynamic (MD) simulations. Binding energies (ΔGbinding) were then computed using the MM-GBSA approach to assess inhibitory potential against the ERK2 DRS.

Results

Computational screening and MD simulations revealed that two specific milk-derived peptides, 41 and 49, exhibited superior binding affinities to the ERK2 DRS compared to the reference peptide KIM-MAP3. This suggests a strong potential for ERK2 inhibition.

Peptide 41 achieved a ΔGbinding of -57.3 kcal/mol, while peptide 49 showed -52.8 kcal/mol, both significantly outperforming the reference peptide KIM-MAP3's ΔGbinding of -51.5 kcal/mol.

Further analyses, including radius of gyration and binding energy per-frame, confirmed the structural and energetic stability of these identified peptides when bound to ERK2 throughout the 200 ns MD simulations. The predicted physicochemical features of peptides 41 and 49 also indicated a favorable functional potential, supporting their candidacy as promising ERK2 inhibitors.

Key Findings

  • Computational screening identified 108 milk-derived peptides with known anticancer/antioxidant activity.
  • Peptides 41 and 49 showed superior binding affinity to ERK2 DRS compared to reference peptide KIM-MAP3.
  • Peptide 41 achieved a ΔGbinding of -57.3 kcal/mol.
  • Peptide 49 achieved a ΔGbinding of -52.8 kcal/mol.
  • Structural and energetic stability of peptides 41 and 49 bound to ERK2 was confirmed over 200 ns MD simulations.

Why It Matters

This computational breakthrough offers a promising avenue for developing highly selective ERK2 inhibitors, potentially leading to novel peptide-based anticancer drugs. By specifically targeting the DRS of ERK2, these milk-derived peptides could mitigate the off-target effects and compensatory pathway activation often seen with broader MAPK pathway inhibitors, improving treatment efficacy and patient tolerability. While currently in-silico, this work provides a strong, data-driven foundation for future in vitro and in vivo experimental validation, significantly accelerating the discovery pipeline for new anticancer therapeutics with enhanced specificity and safety profiles.


erk2-inhibitor anticancer computational-screening milk-peptides protein-protein-interaction molecular-dynamics
Source: pubmed:42259150 · Ingested 2026-06-09 · Digest: gemini-2.5-flash