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Single-Strand DNA Binding Proteins

Single-Strand DNA Binding Proteins

For successful DNA replication, the unwinding of double-stranded DNA must be accompanied by stabilization and protection of the separated single strands of the DNA. This crucial task is performed by single-strand DNA-binding (SSB) proteins. They bind to the DNA in a sequence-independent manner, which means that the nitrogenous bases of the DNA need not be present in a specific order for binding of SSB proteins to it. The binding of SSB proteins straightens single-stranded DNA (ssDNA) and makes...

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Determination of Protein-ligand Interactions Using Differential Scanning Fluorimetry

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Decoding dissociation of sequence-specific protein-DNA complexes with non-equilibrium simulations.

Thor van Heesch¹, Peter G Bolhuis¹, Jocelyne Vreede¹

¹Van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Netherlands.

Nucleic Acids Research

|November 12, 2023

Summary

This study introduces a fast molecular simulation method to predict protein-DNA binding. The approach accurately quantifies sequence specificity and offers mechanistic insights into molecular interactions.

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CD Spectroscopy to Study DNA-Protein Interactions

CD Spectroscopy to Study DNA-Protein Interactions

Published on: February 10, 2022

Area of Science:

Biochemistry
Molecular Biology
Computational Biology

Background:

Sequence-specific protein-DNA interactions are vital for DNA organization, gene regulation, and replication.
Experimental methods often lack the spatial and temporal resolution to fully elucidate these recognition mechanisms.

Purpose of the Study:

To develop a rapid and broadly applicable molecular simulation approach for quantifying the sequence specificity of protein-DNA complexes.
To provide mechanistic insights into protein-DNA dissociation processes.

Main Methods:

Utilizing molecular dynamics simulations combined with a steering potential to estimate free energy differences of dissociation.
Applying the protocol to Histone-like Nucleoid Structuring (H-NS) protein and ETS domain complexes.

Main Results:

Accurate predictions of nucleotide-specific binding affinity for the H-NS protein, aligning with experimental data.
Identification of high-affinity consensus sequences for the ETS domain, quantitatively matching experimental findings.
Detailed mechanistic understanding of protein-DNA dissociation.

Conclusions:

The developed simulation approach offers a powerful tool for quantitative prediction of protein-DNA complex stability.
It provides high-resolution mechanistic insights into sequence-specific recognition.
This method has the potential to significantly advance the study of biological processes involving protein-DNA interactions.