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Related Experiment Video

Updated: Jan 8, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Force fields matter in DNA pol η $$ \eta $$ mechanistic analysis.

Reilly Osadchey1, Qiang Cui1,2,3

  • 1Department of Chemistry, Boston University, Boston, Massachusetts, USA.

Protein Science : a Publication of the Protein Society
|December 23, 2025
PubMed
Summary
This summary is machine-generated.

Investigating DNA polymerase eta (η) and a third magnesium ion, this study found that m12-6-4 force field parameters best reproduce experimental data. This reveals the third magnesium ion

Keywords:
DNA polymeraseQM/MMcatalysisforce fieldmagnesiummolecular dynamics

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Structural Biology

Background:

  • DNA polymerase eta (η) is crucial for DNA repair.
  • The role of a third non-canonical magnesium ion in its catalysis is debated.
  • Understanding enzyme active site dynamics is key.

Purpose of the Study:

  • To compare classical force fields for protein-DNA complexes and metal ions.
  • To investigate the role of the S113A mutation in DNA polymerase eta (η).
  • To elucidate the binding mechanism of a third magnesium ion.

Main Methods:

  • Molecular dynamics simulations using CHARMM36m and AMBER19 force fields.
  • Comparison of different magnesium ion parameter sets (12-6, 12-6-4, m12-6-4).
  • Validation against experimental data and QM(DFTB3)/MM simulations.

Main Results:

  • CHARMM36m showed unstable nucleic acid components.
  • AMBER19 improved nucleic acid stability but standard magnesium parameters were inadequate.
  • The m12-6-4 model best reproduced experimental magnesium binding and catalytic states.
  • The S113A mutation disrupted the active site water network.

Conclusions:

  • The m12-6-4 force field parameters are recommended for simulating DNA polymerase eta (η) with magnesium ions.
  • The third magnesium ion binds transiently in the reactant state and strongly in the product state.
  • The S113A mutation impacts enzyme function by altering the active site hydration.