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Related Concept Videos

Single-Strand DNA Binding Proteins01:03

Single-Strand DNA Binding Proteins

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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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Conserved Binding Sites01:49

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling
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Single-Stranded DNA Binding Proteins and Their Identification Using Machine Learning-Based Approaches.

Jun-Tao Guo1, Fareeha Malik1

  • 1Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.

Biomolecules
|September 23, 2022
PubMed
Summary
This summary is machine-generated.

Single-stranded DNA binding proteins (SSBs) protect genome stability and regulate transcription. This review covers SSB structure, function, binding specificity, and machine learning for predicting SSBs from dsDNA binding proteins.

Keywords:
SSBbinding specificitysingle-stranded DNAsingle-stranded DNA binding proteinssDNA

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Single-stranded DNA (ssDNA) binding proteins (SSBs) are essential for genome stability.
  • SSBs protect ssDNA during DNA replication, transcription, and telomere maintenance.
  • SSB-ssDNA interactions are crucial for transcriptional regulation across life and viruses.

Purpose of the Study:

  • To review the structure and function of SSBs.
  • To explore structural features dictating SSB binding specificity.
  • To discuss machine learning methods for predicting SSBs from double-stranded DNA (dsDNA) binding proteins (DSBs).

Main Methods:

  • Literature review of SSB structure, function, and binding.
  • Analysis of structural determinants for SSB-ssDNA interactions.
  • Overview of machine learning approaches for SSB prediction.

Main Results:

  • SSBs exhibit diverse structures and functions critical for genome integrity.
  • Specific structural features govern SSB binding to ssDNA.
  • Machine learning models show promise in distinguishing SSBs from DSBs.

Conclusions:

  • SSBs are vital for genome stability and transcriptional regulation.
  • Understanding SSB structure-binding relationships is key.
  • Computational methods, particularly machine learning, offer new avenues for SSB identification and characterization.