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Related Concept Videos

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...
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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...
Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...

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Related Experiment Video

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Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
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Published on: May 31, 2011

An ant colony optimization based algorithm for identifying gene regulatory elements.

Wei Liu1, Hanwu Chen, Ling Chen

  • 1Department of Computer Science and Engineering, Southeast University, Nanjing 210096, China. yzliuwei@126.com

Computers in Biology and Medicine
|June 11, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces ACRI, an Ant Colony Optimization (ACO) algorithm for identifying gene regulatory elements. ACRI enhances speed and precision in finding transcription factor binding sites, outperforming traditional methods.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Swarm Intelligence

Background:

  • Identifying regulatory elements in gene sequences is crucial for understanding gene expression.
  • Existing algorithms often suffer from local optima convergence and high time complexity.

Purpose of the Study:

  • To design and implement an Ant Colony Optimization (ACO) based algorithm, ACRI, for identifying all possible transcription factor binding sites in co-expressed genes.
  • To improve the speed and precision of regulatory element identification compared to traditional methods.

Main Methods:

  • Developed ACRI (ant-colony-regulatory-identification), an algorithm leveraging ACO's self-organization and robustness.
  • Incorporated a local optimization strategy to adjust ant starting positions for accelerated searching.
  • Applied the algorithm to identify transcription factor binding sites upstream of co-expressed genes.

Main Results:

  • ACRI demonstrates improved precision in identifying regulatory elements.
  • The algorithm achieves significantly higher speeds in its searching process.
  • Experimental results on real-world datasets show ACRI outperforms traditional algorithms in both speed and solution quality.

Conclusions:

  • ACRI effectively identifies regulatory elements by utilizing the optimization capabilities of ACO.
  • The algorithm offers a robust and efficient solution for the challenge of finding transcription factor binding sites.
  • ACRI represents a significant advancement in bioinformatics tools for gene sequence analysis.