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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...

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Related Experiment Video

Updated: Jun 7, 2026

Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis
08:09

Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis

Published on: January 7, 2017

Discovering homotypic binding events at high spatial resolution.

Yuchun Guo1, Georgios Papachristoudis, Robert C Altshuler

  • 1MIT Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA.

Bioinformatics (Oxford, England)
|October 23, 2010
PubMed
Summary
This summary is machine-generated.

The Genome Positioning System (GPS) accurately detects closely spaced protein-DNA interactions from ChIP-Seq data. This method improves spatial resolution and identifies more joint events than existing approaches.

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High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy
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Last Updated: Jun 7, 2026

Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis
08:09

Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis

Published on: January 7, 2017

High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy
06:38

High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy

Published on: February 7, 2019

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Transcription factor binding sites are crucial for gene regulation in promoters and enhancers.
  • Detecting closely spaced protein-DNA interactions in ChIP-Seq data is challenging due to fragmentation noise.

Purpose of the Study:

  • To develop a method for high-resolution detection of closely spaced protein-DNA interaction events from ChIP-Seq data.
  • To improve the accuracy and spatial resolution of transcription factor binding site identification.

Main Methods:

  • Utilized the Genome Positioning System (GPS) which employs a complexity penalized mixture model.
  • Applied a segmented expectation-maximization (EM) algorithm for efficient event prediction.
  • Incorporated an optional mode for aligning common events across experiments.

Main Results:

  • GPS accurately predicts protein-DNA interaction events with high spatial resolution.
  • The method successfully resolves closely spaced events that appear as single clusters in raw data.
  • GPS demonstrated superior detection of joint events and improved spatial resolution compared to other methods.
  • GPS exhibited comparable or superior specificity and sensitivity.

Conclusions:

  • The Genome Positioning System (GPS) offers a robust solution for identifying closely spaced protein-DNA interactions in ChIP-Seq data.
  • GPS enhances the analysis of transcription factor binding sites, improving genomic and regulatory insights.