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Related Concept Videos

Conserved Binding Sites01:49

Conserved Binding Sites

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.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Conserved Binding Sites01:49

Conserved Binding Sites

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.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...

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Related Experiment Video

Updated: May 27, 2026

Analyzing and Building Nucleic Acid Structures with 3DNA
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Published on: April 26, 2013

Prediction and analysis of nucleotide-binding residues using sequence and sequence-derived structural descriptors.

Ke Chen1, Marcin J Mizianty, Lukasz Kurgan

  • 1School of Computer Science and Software Engineering, Tianjin Polytechnic University, Hedong District, Tianjin 300160, PR of China.

Bioinformatics (Oxford, England)
|December 2, 2011
PubMed
Summary

We developed NsitePred, a new predictor for identifying nucleotide-binding sites on proteins. This method accurately identifies more binding residues and sites compared to existing approaches, aiding in protein function annotation and drug design.

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Computational Biology

Background:

  • Nucleotides are essential molecules involved in energy transfer, cellular signaling, and enzymatic reactions.
  • Understanding nucleotide-protein interactions is crucial for annotating protein functions and designing drugs.

Purpose of the Study:

  • To develop a novel, accurate, high-throughput predictor of nucleotide-binding residues directly from protein sequences.
  • To improve the prediction of binding sites for common nucleotides like ATP, ADP, AMP, GTP, and GDP.

Main Methods:

  • Developed NsitePred, an ensemble predictor utilizing comprehensive inputs from sequence, evolutionary profiles, and predicted structural descriptors.
  • Employed sequence alignment and custom-designed features for enhanced predictive accuracy.

Main Results:

  • NsitePred significantly outperforms existing predictors and sequence alignment-based methods.
  • The predictor accurately identifies more nucleotide-binding residues and sites, especially for clustered residues.
  • Identified sequence-derived hallmarks of nucleotide-binding residues, including conservation patterns and secondary structure associations.

Conclusions:

  • NsitePred offers a significant advancement in predicting nucleotide-binding sites from protein sequences.
  • The method's high accuracy and novel input features provide valuable insights into nucleotide-protein interactions.
  • This tool has potential applications in protein function annotation and rational drug design.