A Coarse-Grained Model of Unstructured Single-Stranded DNA Derived from Atomistic Simulation and Single-Molecule
Christopher Maffeo1, Thuy T M Ngo2, Taekjip Ha3
1Department of Physics, University of Illinois at Urbana -Champaign, Urbana, Illinois, United States.
Journal of Chemical Theory and Computation
|August 20, 2014
Summary
A new coarse-grained model accurately simulates single-stranded DNA (ssDNA) behavior. This DNA model captures structural and mechanical properties, validated by experiments like FRET and optical tweezers.
Area of Science:
- Biophysics
- Computational Biology
- Molecular Modeling
Background:
- Accurate modeling of single-stranded DNA (ssDNA) is crucial for understanding its biological functions.
- Existing models may lack the balance between computational efficiency and biological accuracy.
- Experimental validation is key to confirming the reliability of computational models.
Purpose of the Study:
- To develop a simplified coarse-grained model for ssDNA.
- To ensure the model accurately reproduces ssDNA's structural and mechanical properties.
- To provide a computationally efficient tool for studying ssDNA and its interactions.
Main Methods:
- Developed a coarse-grained model with two sites per nucleotide (backbone and sugar/base).
- Utilized tabulated bonded potentials optimized against atomistic simulations for intra-nucleotide interactions.
- Employed isotropic potentials for nonbonded interactions, calibrated to match experimental ssDNA radius of gyration.
- Validated the model using force-extension measurements and Förster Resonance Energy Transfer (FRET) with optical tweezers.
Main Results:
- The model successfully reproduces the solution structure of ssDNA.
- It accurately predicts the force-extension relationship of ssDNA over two orders of magnitude of applied force.
- Experimental validation using FRET and optical tweezers confirmed the model's accuracy in predicting end-to-end distances.
Conclusions:
- The developed coarse-grained ssDNA model offers a balance of simplicity and accuracy.
- It provides a reliable computational tool for studying ssDNA behavior.
- The model's design allows for straightforward extension to more complex systems, including double-stranded DNA and protein interactions.
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