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Related Experiment Video

Updated: Jul 13, 2026

Determination of Protein-ligand Interactions Using Differential Scanning Fluorimetry

Determination of Protein-ligand Interactions Using Differential Scanning Fluorimetry

Published on: September 13, 2014

Estimation of Absolute Protein-DNA Binding Free Energy Using Streamlined Geometric Formalism.

Shreya Mukherjee¹, Diship Srivastava¹, Niladri Patra¹

¹Department of Chemistry and Chemical Biology, Indian Institute of Technology (ISM) Dhanbad, Dhanbad 826004, India.

The Journal of Physical Chemistry Letters

|July 11, 2026

Summary

We developed a new computational method to accurately estimate protein-DNA binding free energy. This approach uses advanced simulations to analyze molecular interactions, offering a cost-effective way to study these vital complexes.

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Last Updated: Jul 13, 2026

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Published on: July 25, 2013

Area of Science:

Biochemistry and Molecular Biology
Computational Chemistry
Structural Biology

Background:

Protein-DNA complexes are crucial for fundamental cellular processes.
Accurate estimation of binding free energy is essential for understanding these interactions.
Existing computational methods face challenges in sampling and accuracy.

Purpose of the Study:

To introduce a streamlined geometric formalism for calculating absolute binding free energy of protein-DNA complexes.
To achieve chemically accurate in silico estimations of binding free energy.
To provide a computationally efficient method for analyzing protein-DNA interactions.

Main Methods:

Utilized potential of mean force simulations.
Employed the hybrid Gaussian-Accelerated Well-Tempered Metadynamics-Extended Adaptive Biasing Force (GaWTM-eABF) sampling method.
Applied harmonic restrictions on positional and orientational degrees of freedom to manage configuration entropy.

Main Results:

Successfully computed absolute binding free energies for three protein-DNA complexes.
Identified key molecular interactions (hydrogen bonds, electrostatic, van der Waals, π-cation, hydrophobic) driving complex association.
Demonstrated remarkable accuracy in binding free energy estimation.

Conclusions:

The proposed formalism provides a robust and accurate method for in silico binding free energy calculations.
The approach alleviates sampling limitations inherent in molecular simulations.
This formalism offers a valuable tool for studying protein-DNA interactions with modest computational expense.