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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...
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form dimers that...
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form dimers that...
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...

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Related Experiment Video

Updated: May 23, 2026

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

Improved models for transcription factor binding site identification using nonindependent interactions.

Yue Zhao1, Shuxiang Ruan, Manishi Pandey

  • 1Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA.

Genetics
|April 17, 2012
PubMed
Summary

Most transcription factor (TF) binding sites are accurately modeled by position weight matrices (PWMs). However, a new binding energy model (BEM) better captures TF specificity when positions interact, improving regulatory network analysis.

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Last Updated: May 23, 2026

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06:38

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Published on: February 7, 2019

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11:25

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Identifying transcription factor (TF) binding sites is crucial for understanding gene regulation.
  • Current models, like position weight matrices (PWMs), often assume independent contributions of DNA positions to TF binding affinity.
  • The validity of this independence assumption needs rigorous examination across diverse TFs.

Purpose of the Study:

  • To evaluate the independence assumption in TF binding site specificity using extensive quantitative binding assay data.
  • To develop and validate more accurate models for TF binding specificity when the independence assumption fails.
  • To enhance the interpretation of in vivo TF binding data, such as from ChIP-seq experiments.

Main Methods:

  • Utilized high-throughput quantitative binding assays to collect extensive data on TF-DNA interactions.
  • Assessed the performance of traditional Position Weight Matrix (PWM) models against experimental data.
  • Developed and applied a novel Binding Energy Model (BEM) incorporating non-independent positional contributions, specifically dinucleotide interactions.

Main Results:

  • Found that PWMs accurately model TF specificity for a majority of TFs studied.
  • Identified cases where PWMs are insufficient, indicating non-independent contributions to binding affinity.
  • Demonstrated that BEMs, particularly those including adjacent dinucleotide energy parameters, significantly improve the modeling of TF specificity in complex cases.

Conclusions:

  • While PWMs are effective for many TFs, more sophisticated models like BEMs are necessary for others.
  • Accurate TF binding specificity models are essential for precise interpretation of TF binding data, including ChIP-seq.
  • The developed BEM offers a more refined approach to understanding TF-DNA interactions and regulatory mechanisms.