Bioinformatics Analysis of Immunoglobulin ε (IgE) Heavy Chain

Authors

  • Dongying Wang

DOI:

https://doi.org/10.54097/9yvrbm43

Keywords:

IgE, Bioinformatics Analysis, Biostatistics, Biopharmaceuticals

Abstract

Immunoglobulin ε is a key immunoglobulin that plays an important role in the immune system. IgE is usually associated with allergic reactions such as food allergies, allergic rhinitis, and allergic dermatitis. In this project, this article Use NCBI or https://www.uniprot.org/ Website to obtain immunoglobulins ε Heavy chain related nucleotide sequences. Using relevant websites and software to analyze and predict immunoglobulins using bioinformatics methods ε Bioinformatics analysis of heavy chains includes physical and chemical properties, structural functions, positional expression, phylogenetic relationships, protein interactions, etc. Understanding the bioinformatics analysis of IgE can help reveal its function in the immune system and its relationship with allergies and other diseases, promote the improvement of diagnosis and treatment methods for allergic diseases, and advance in the field of immunotherapy.

Downloads

Download data is not yet available.

References

Yoo, Y., Perzanowski, M.S. (2014) Allergic sensitization and the environment: latest update. Current Allergy and Asthma Reports, 14(10): 1-9.

Galli, S.J., Tsai, M. (2012) IgE and mast cells in allergic disease. Nat Med, 18(5): 693-704.

Pang, L., Cui, J. (2005) Research Progress on Cytochrome P4501A1. Foreign Medicine, Genetics Division, 80-84.

Hu, B., Niu, Z., Li, L. (2018) Bioinformatics analysis of human ANGPTL7 protein. Journal of Shanxi Medical University, 51-58.

Samuel, A.L., Steven, W., Sophien, K., et al. (2003) An analysis of the Candida albicans genome database for soluble secreted proteins using computer-based prediction algorithms. Yeast, 20: 595-610.

Downloads

Published

22-02-2024

Issue

Section

Articles

How to Cite

Wang, D. (2024). Bioinformatics Analysis of Immunoglobulin ε (IgE) Heavy Chain. International Journal of Biology and Life Sciences, 5(1), 25-28. https://doi.org/10.54097/9yvrbm43