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Related Concept Videos

Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...
Antigens Involved in Adaptive Immunity01:26

Antigens Involved in Adaptive Immunity

An antigen is any substance the immune system identifies as foreign and potentially harmful to the body, prompting an immune response. Antigens have two functional properties: immunogenicity and reactivity. Immunogenicity is the ability of an antigen to stimulate a specific immune response. At the same time, reactivity describes the antigen's ability to react with the cells and antibodies produced in response to it.
Complete Antigens
Complete antigens possess both immunogenicity and reactivity.

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Related Experiment Video

Updated: Jun 16, 2026

Peptide-based Identification of Functional Motifs and their Binding Partners
14:28

Peptide-based Identification of Functional Motifs and their Binding Partners

Published on: June 30, 2013

Motif discovery using an immune genetic algorithm.

Jia-wei Luo1, Ting Wang

  • 1School of Computer and Communication, Hunan University, Changsha, Hunan 410082, China. luojiawei@gmail.com

Journal of Theoretical Biology
|February 16, 2010
PubMed
Summary
This summary is machine-generated.

A novel immune genetic algorithm enhances motif discovery by maintaining population diversity and preventing degeneracy. This method effectively identifies known motifs in long promoter sequences and multiple motifs simultaneously.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Genomics

Background:

  • Motif discovery is crucial for understanding gene regulation.
  • Existing algorithms face challenges with long sequences and multiple motifs.
  • Population diversity and evolutionary degeneracy are key issues in genetic algorithms.

Purpose of the Study:

  • To introduce a new immune genetic algorithm for motif discovery.
  • To enhance population diversity and inhibit degeneracy during evolutionary processes.
  • To evaluate the algorithm's performance on long promoter sequences and multiple motif identification.

Main Methods:

  • Development of an immune genetic algorithm incorporating concentration regulation and vaccine mechanisms.
  • Application of the algorithm to discover known motifs in long promoter sequences.
  • Testing the algorithm's capability for simultaneous discovery of multiple motifs.

Main Results:

  • The proposed algorithm successfully identified known motifs in long promoter sequences.
  • The method demonstrated effectiveness in finding multiple motifs within a single run.
  • Experimental results validated the algorithm's capacity for robust motif discovery.

Conclusions:

  • The novel immune genetic algorithm offers an effective approach for motif discovery.
  • The concentration regulation and vaccine mechanisms contribute to improved performance.
  • This method advances the field of computational motif identification.