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Related Concept Videos

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...
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...

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Related Experiment Video

Updated: Jun 22, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Gene-gene cooperativity in small networks.

Aleksandra M Walczak1, Peter G Wolynes

  • 1Princeton Center for Theoretical Science, Princeton University, Princeton, New Jersey, USA.

Biophysical Journal
|June 3, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a simplified model for gene interactions in small regulatory networks using binary spin variables. The new approach accurately predicts gene expression probabilities, simplifying complex biological systems.

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Last Updated: Jun 22, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Area of Science:

  • Systems biology
  • Computational biology
  • Statistical mechanics

Background:

  • Gene regulatory networks are complex and often noisy, especially in small systems.
  • Stochasticity in protein number and gene expression state is crucial for network behavior.

Purpose of the Study:

  • To develop a reduced, computationally tractable description of interacting genes in small regulatory networks.
  • To map molecular-level gene network descriptions to a binary representation.

Main Methods:

  • Utilized coupled binary spin variables to model gene interactions.
  • Treated protein number and gene expression variables stochastically and equally.
  • Developed a mapping from stochastic molecular descriptions to binary representations.

Main Results:

  • Constructed a phase diagram to identify conditions for gene independence versus significant coupling.
  • Demonstrated that the binary description accurately reproduces gene expression state probabilities.
  • Showed the model's applicability to self-regulatory systems with multiple gene copies.

Conclusions:

  • A binary spin variable model provides an effective reduced description for gene regulatory networks.
  • The model captures essential correlations and synchrony arising from gene coupling.
  • This approach simplifies the analysis of complex gene interactions in stochastic environments.