Immnoinformatics: novel view in understanding of immune system function, databases and prediction of immunogenic epitopes

Author(s):
Mohammad Mehdi RanjbarMohammad Mehdi Ranjbar, Nayeb Ali AhmadiNayeb Ali Ahmadi, Khodayar GhorbanKhodayar Ghorban,*, Arash Ghalyanchi LangeroudiArash Ghalyanchi Langeroudi, Maryam DadmaneshMaryam Dadmanesh, Hamid-Reza AminiHamid-Reza Amini, Bijan Sedighi MoghaddamBijan Sedighi Moghaddam
*Corresponding Author: Email: [email protected]

Koomesh:Vol. 17, issue 1; 18-26
Published online:Dec 28, 2015
Article type:Research Article
Received:Aug 11, 2015
Accepted:Sep 07, 2015
How to Cite:Ranjbar MM, Ahmadi NA, Ghorban K, Ghalyanchi Langeroudi A, Dadmanesh M, et al. Immnoinformatics: novel view in understanding of immune system function, databases and prediction of immunogenic epitopes. koomesh. 2015;17(1):e150762. doi:

Abstract

  Immunoinformatics or computational immunology has recently emerged as an important role player in the field of analytic sciences, remodelling and prediction of immune function, novel vaccine designing, allergenicitic analysis and drug discovery. Immunoinformatics has an important role in improving the immunological studies and its rapid development after human Genome sequencing project, as well as other organisms, has led to a great opportunity of access to huge immunological relevant information. This field of science acts as a connection between laboratory experiments and computational sciences. These achievements extensively have vital strategic value from the perspective of global health and besides, it is less time and cost consuming. This article, reviews different general and specific immunological databases, predicts approaches to both B and T cell epitopes and principle of vaccine bioinformatics and finally describes applications of Immnoinformatics. In fact the main aim of this review was to introduce this technique to Iranian researchers who are less familiar with this immunological analytic tool, hoping this would provide them with new and up to date approach toward their immunological studies .

Copyright

© 2015, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

Similar Articles

17
Oct
2022
Interv Pain Med Neuromod

Utilizing Immunoinformatics to Target Brain Tumors; An Aid to Current Neurosurgical Practice

Kiarash Saleki,
Payam Payandeh,
Mahdi Shakeri,
Ramtin Pourahmad,
Mohammad Banazadeh,
Parsa Alijanizadeh
,et al.

Saleki K, Payandeh P, Shakeri M, Pourahmad R, Banazadeh M, et al. Utilizing Immunoinformatics to Target Brain Tumors; An Aid to Current Neurosurgical Practice. Interv Pain Med Neuromod. 2022;2(1):e131144. doi: https://doi.org/10.5812/ipmn-131144

24
Jan
2022
Iran J Pharm Res

Review on Approved and Inprogress COVID-19 Vaccines

Amir Farnudian-Habibi,
Mobina Mirjani,
Vahideh Montazeri,
Shima Aliebrahimi,
Iman Katouzian,
Saeed Abdolhosseini
,et al.

Farnudian-Habibi A, Mirjani M, Montazeri V, Aliebrahimi S, Katouzian I, et al. Review on Approved and Inprogress COVID-19 Vaccines. Iran J Pharm Res. 2022;21(1):e124228. doi: https://doi.org/10.5812/ijpr.124228

21
Aug
2016

Immunoinformatics Study of gp120 of Human Immunodeficiency Virus Type 1 Subtype CRF35_AD Isolated from Iranian Patients

Hossein Keyvani,
Nayeb Ali Ahmadi,
Mohammad Mehdi Ranjbar,
Saeid Ataei Kachooei,
Khodayar Ghorban,
Maryam Dadmanesh

Keyvani H, Ahmadi NA, Ranjbar MM, Ataei Kachooei S, Ghorban K, et al. Immunoinformatics Study of gp120 of Human Immunodeficiency Virus Type 1 Subtype CRF35_AD Isolated from Iranian Patients. Arch Clin Infect Dis. 2016;11(4):e36270. doi: https://doi.org/10.5812/archcid.36270

10
May
2020
Archives of Clinical Infectious Diseases

The Role of Artificial Intelligence and Machine Learning Techniques: Race for COVID-19 Vaccine

Shantani Kannan,
Kannan Subbaram,
Sheeza Ali,
Hemalatha Kannan

Kannan S, Subbaram K, Ali S, Kannan H. The Role of Artificial Intelligence and Machine Learning Techniques: Race for COVID-19 Vaccine. Arch Clin Infect Dis. 2020;15(2):e103232. doi: https://doi.org/10.5812/archcid.103232

27
Mar
2022
Precis Med Clin OMICS

Radiomics and Precision Medicine

Paria Shafiekhani,
Elnaz Amanzadeh,
Saeid Safari

Shafiekhani P, Amanzadeh E, Safari S. Radiomics and Precision Medicine. Artif Intell Precis Med. 2021;1(1):e123945. doi: https://doi.org/10.5812/pmco.123945

Download PDF380.20 KB
Share on
Cited by
Metrics

Ordering Reprints

Articles are published under the Creative Commons license stated on each article. No permission or royalty fee is required for uses permitted by that license. CCC handles optional bulk and customized reprint orders. Any quotation covers production and delivery services only, not copyright permission. > Request Reprints from CCC 

Search Relations

Author(s):

Related Articles