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Free Energy Landscape between Watson-Crick to Hoogsteen Base Pairing Transitions
Kanika Kole1, Jaydeb Chakrabarti1,2
1Department of Physics of Complex Systems, S. N. Bose National Centre for Basic Sciences, Block-JD, Sector-III, Salt Lake, Kolkata 700106, India.
The Journal of Physical Chemistry. B
|September 16, 2025
Summary
DNA base pairs can switch between Watson-Crick (WC) and Hoogsteen (HG) configurations. Protein presence lowers the energy barrier for WC to HG transitions, making HG pairs more stable.
Area of Science:
- Molecular Biology
- Biophysics
- Computational Chemistry
Background:
- DNA base pairing is fundamental to genetic information storage and transfer.
- Alternative base pairing modes, like Hoogsteen (HG), can occur alongside standard Watson-Crick (WC) pairing.
- The influence of proteins on WC-HG base pair transitions is not well understood.
Purpose of the Study:
- To investigate the free energy landscape of WC-HG base pair transitions in DNA.
- To develop and validate a computational protocol for studying base pair transitions using well-tempered metadynamics.
- To determine the effect of protein presence on the stability and transition dynamics of WC and HG base pairs.
Main Methods:
- Employed the well-tempered metadynamics (WT-MetaD) simulation method.
- Utilized the glycosidic angle (χ) as a collective variable (CV) to define the transition pathway.
- Validated the protocol against existing experimental and simulation data for naked DNA.
Main Results:
- The energy barrier for the Watson-Crick (WC) to Hoogsteen (HG) base pair transition significantly decreases to ~8 kcal/mol in the presence of proteins, compared to naked DNA.
- In the presence of proteins, HG base pairs become approximately 4.0 kcal/mol more stable than WC base pairs.
- The reverse HG to WC transition exhibits an increased energy barrier of ~12 kcal/mol, with HG pairs remaining ~3 kcal/mol more stable.
Conclusions:
- Protein binding can significantly alter the energetics of DNA base pair transitions.
- The study provides a validated computational framework for investigating protein-DNA interactions at the base pair level.
- These findings have implications for understanding DNA structural dynamics and protein recognition mechanisms.
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