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Updated: Aug 5, 2026
08:49
Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Comparative Assessment of DNA Force Fields for Small-Molecule Ligand Binding via Multicanonical MD-Based Dynamic
Gert-Jan Bekker1,2,3, Yoshifumi Fukunishi3, Junichi Higo2,3,4
1Institute for Protein Research, The University of Osaka , 3-2 Yamadaoka, Suita, Osaka565-0871, Japan.
Journal of Chemical Theory and Computation
|July 27, 2026
Summary
Modern DNA force fields were evaluated for predicting drug binding. OL24 showed the highest accuracy in reproducing experimental structures, crucial for advancing DNA-targeting drug and aptamer development.
Area of Science:
- Computational chemistry
- Molecular dynamics simulations
- Biomolecular modeling
Background:
- DNA-targeting drugs and aptamers rely on DNA's structural features for function.
- Predicting ligand-DNA binding configurations computationally is challenging.
- Advanced molecular dynamics (MD) simulations with accurate force fields are needed.
Purpose of the Study:
- To evaluate modern AMBER-based DNA force fields for molecular dynamics simulations.
- To assess the performance of five distinct force fields (OL15, OL21, OL24, bsc1, tumuc1) across various DNA structures.
- To determine the most reliable force field for predicting DNA-ligand binding.
Main Methods:
- Performed dynamic docking simulations of five DNA-ligand pairs using multicanonical MD.
- Utilized five distinct AMBER-based force fields: OL15, OL21, OL24, bsc1, and tumuc1.
- Analyzed 750 μs of trajectory data, assessing conformational ensembles and R-value for native contact accuracy.
Main Results:
- Significant variations in conformational ensembles were observed across force fields.
- OL24 demonstrated the highest accuracy in reproducing experimental structures via R-value analysis.
- OL15, OL21, and bsc1 showed robust performance, while tumuc1 exhibited biases toward distorted conformations.
Conclusions:
- Force field choice critically impacts the accuracy of DNA-ligand binding predictions.
- OL24 is recommended for its superior ability to model native DNA-ligand interactions.
- Findings guide the development of next-generation DNA force fields for accurate biomolecular modeling.
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