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General Transcription Factors

General Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...

Cooperative Binding of Transcription Regulators

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 Regulators

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...

Transcription Factors

Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...

Transcription Factors

Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...

Master Transcription Regulators

Master Transcription Regulators

Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...

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Related Experiment Video

Updated: Jun 17, 2026

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets

Published on: March 1, 2024

Inferring transcription factor interactions using a novel HV-SVM classifier.

Xiao-Li Li¹, Jun-Xiang Lee, Bharadwaj Veeravalli

¹Data Mining Department, Institute for Infocomm Research, 119613, Singapore. xlli@i2r.a-star.edu.sg

International Journal of Computational Biology and Drug Design

|January 9, 2010

Summary

This study introduces a new method using Support Vector Machines (SVM) and a Genetic Algorithm to predict transcription factor (TF) interactions. The HV-SVM approach accurately identifies TF-TF pairs, crucial for understanding gene regulation.

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Last Updated: Jun 17, 2026

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Area of Science:

Molecular Biology
Bioinformatics
Computational Biology

Background:

Transcription factor (TF) interactions are essential for regulating gene expression in eukaryotes.
Understanding these complex interactions is key to deciphering cellular mechanisms.
Current methods may face challenges in higher, more complex eukaryotic systems.

Purpose of the Study:

To develop a novel computational method for classifying and predicting transcription factor-TF interactions.
To improve the accuracy of TF-TF interaction prediction using protein domain and GO annotation data.
To optimize the classification performance through automated feature and kernel weight selection.

Main Methods:

Proposed a Support Vector Machine (SVM) classifier incorporating a novel Horizontal-Vertical (HV) kernel.
Utilized protein domain information and Gene Ontology (GO) annotations for TF pair classification.
Employed a Genetic Algorithm to optimize kernel and feature weights for enhanced classifier performance.

Main Results:

The HV-SVM classifier demonstrated accurate predictions of TF-TF interactions.
The method proved effective even in higher and more complex eukaryotic organisms.
Optimized kernel and feature weights significantly improved classification accuracy.

Conclusions:

The developed HV-SVM method offers a robust and accurate approach for predicting TF-TF interactions.
This tool aids in understanding the intricate transcription regulation networks in eukaryotes.
The findings have implications for systems biology and the study of gene regulation.