alexa In silico prediction of immunogenic T cell epitopes for HLA-DQ8
ISSN: 1745-7580

Immunome Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

In silico prediction of immunogenic T cell epitopes for HLA-DQ8

 

Abstract

Background
d HLA-DQ alleles are involved in the pathogenesis of hypersensitivity reactions and autoimmune disorders, with HLA-DQ8 associated with several human autoimmune disorders. Limited success has been achieved using sequence-based computational techniques for predicting HLA-DQ8-restricted T cell epitopes while accuracy and efficiency of recently developed structure-based models need to be improved.
Results
We describe a combined structure-based prediction approach for DQ8-restricted T cell epitope prediction using a recently developed fast and accurate docking protocol, pDOCK, and molecular surface electrostatic potential (MSEP)-based clustering of pMHC binding interfaces. The prediction model was rigorously trained, tested and validated using experimentally verified DQ8 binding and non-binding peptides. High MHC-binding prediction accuracy is validated against independent experimental data (average area under the ROC curve or average AROC>0.94). Our model also predicts all binding registers correctly and known T cell activators with a positive predictive value (PPV) of 0.91 or 91%. We also studied the binding patterns of DQ8-binding peptides and confirm the existence of peptide epitopes that do not conform to DQ8-specific consensus peptide-binding motifs.
Conclusions
We have developed a model that can be successfully applied as a generic protocol for easy in silico identifi-cation of HLA-DQ8 binding peptides and thereby potential DQ8-specific T cell epitopes. The current model is therefore applicable for screening potential vaccine candidates from DQ8 binding peptides irrespective of consensus peptide-binding or sequence motifs. We have also illustrated efficient discrimination of different categories of binders from non-binders as well as different categories of pMHC agonists from non-agonists, while accurately predicting the binding registers of DQ8-restricted peptides. This combined approach pro-vides a set of sensitive and specific computational tools to facilitate high-throughput screening of peptides for immunotherapeutic applications such as controlling allergic and autoimmune responses.

Share This Page

Additional Info

Loading
Loading Please wait..
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords