Literature DB >> 28315223

T-Cell Epitope Prediction.

George N Konstantinou1,2.   

Abstract

An epitope is a part of an immunogenic protein that can be recognized by the immune system. The peptides that can be recognized by the T-cell receptors after a particular antigen has been intracellularly processed, bound to at least one MHC molecule and expressed on the surface of the antigen presenting cell as a MHC-peptide complex, are called a T-cell epitope. Individuals who have at least one MHC molecule able to most avidly bind to allergenic amino acid sequences from an allergen, and at the same time have the appropriate T-cell clone that can recognize this MHC-peptide complex, are expected to be genetically prone to allergic reactions against that allergen. This possibility can be examined in silico by utilizing modern computational techniques that are based on sophisticated mathematics and statistics. The design principles of these techniques are different and therefore variations in their predictions are expected. The available software programs that have been developed on this basis are able to combine the increasing amount and complexity of the available experimental data that have been organized in immunoinformatics databases to predict potential allergen T-cell epitopes. All relevant T-cell epitope prediction methods can be accessed online as a freeware.

Entities:  

Keywords:  Allergen; Allergy; Antigen; Bioinformatics; In silico; Peptide; Prediction; Processing; T-Cell epitope

Mesh:

Substances:

Year:  2017        PMID: 28315223     DOI: 10.1007/978-1-4939-6925-8_17

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  9 in total

Review 1.  An overview of immunoinformatics approaches and databases linking T cell receptor repertoires to their antigen specificity.

Authors:  Ivan V Zvyagin; Vasily O Tsvetkov; Dmitry M Chudakov; Mikhail Shugay
Journal:  Immunogenetics       Date:  2019-11-18       Impact factor: 2.846

2.  An in-silico approach to develop of a multi-epitope vaccine candidate against SARS-CoV-2 envelope (E) protein.

Authors:  Fatemeh Ghafouri; Reza Ahangari Cohan; Farshid Noorbakhsh; Hilda Samimi; Vahid Haghpanah
Journal:  Res Sq       Date:  2020-05-20

3.  Prediction and identification of CD4+ T cell epitope for the protective antigens of Mycobacterium tuberculosis.

Authors:  Jing Liu; Xuefeng Chen; Ju Wang; Fang Wu; Jie Zhang; Jiangtao Dong; Hui Zhang; Xiaoling Liu; Na Hu; Jiangdong Wu; Le Zhang; Wei Cheng; Chunjun Zhang; Wan Jiang Zhang
Journal:  Medicine (Baltimore)       Date:  2021-02-12       Impact factor: 1.817

4.  Exploring SARS-COV-2 structural proteins to design a multi-epitope vaccine using immunoinformatics approach: An in silico study.

Authors:  Samira Sanami; Morteza Alizadeh; Masoud Nosrati; Korosh Ashrafi Dehkordi; Fatemeh Azadegan-Dehkordi; Shahram Tahmasebian; Hamed Nosrati; Mohammad-Hassan Arjmand; Maryam Ghasemi-Dehnoo; Ali Rafiei; Nader Bagheri
Journal:  Comput Biol Med       Date:  2021-04-20       Impact factor: 6.698

5.  Immunogenic epitope prediction to create a universal influenza vaccine.

Authors:  R R Mintaev; D V Glazkova; E V Bogoslovskaya; G A Shipulin
Journal:  Heliyon       Date:  2022-04-30

6.  Development of a Multiepitope Vaccine Against SARS-CoV-2: Immunoinformatics Study.

Authors:  Fatemeh Ghafouri; Reza Ahangari Cohan; Hilda Samimi; Ali Hosseini Rad S M; Mahmood Naderi; Farshid Noorbakhsh; Vahid Haghpanah
Journal:  JMIR Bioinform Biotech       Date:  2022-07-19

7.  A novel strategy for developing vaccine candidate against Jaagsiekte sheep retrovirus from the envelope and gag proteins: an in-silico approach.

Authors:  Nuha Amin Mahmoud; Abdelmajeed M Elshafei; Yassir A Almofti
Journal:  BMC Vet Res       Date:  2022-09-10       Impact factor: 2.792

Review 8.  Linear B-Cell Epitope Prediction for In Silico Vaccine Design: A Performance Review of Methods Available via Command-Line Interface.

Authors:  Kosmas A Galanis; Katerina C Nastou; Nikos C Papandreou; Georgios N Petichakis; Diomidis G Pigis; Vassiliki A Iconomidou
Journal:  Int J Mol Sci       Date:  2021-03-22       Impact factor: 5.923

9.  Vaccine design based on 16 epitopes of SARS-CoV-2 spike protein.

Authors:  Jinlei He; Fan Huang; Jianhui Zhang; Qiwei Chen; Zhiwan Zheng; Qi Zhou; Dali Chen; Jiao Li; Jianping Chen
Journal:  J Med Virol       Date:  2020-11-01       Impact factor: 20.693

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.