Web-based design and evaluation of T-cell vaccine candidates | Zendy

Jim Thurmond | Zendy; Hyejin Yoon | Zendy; Carla Kuiken | Zendy; Karina Yusim | Zendy; Simon Perkins | Zendy; James Theiler | Zendy; Tanmoy Bhattacharya | Zendy; Bette Korber | Zendy; Will Fischer | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Web-based design and evaluation of T-cell vaccine candidates

Author(s) -

Jim Thurmond,

Hyejin Yoon,

Carla Kuiken,

Karina Yusim,

Simon Perkins,

James Theiler,

Tanmoy Bhattacharya,

Bette Korber,

Will Fischer

Publication year - 2008

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btn251

Subject(s) - epitope , suite , computational biology , computer science , antigen , web application , hiv vaccine , virology , clade , human immunodeficiency virus (hiv) , biology , mosaic , human leukocyte antigen , open source , genetics , software , world wide web , gene , vaccine trial , programming language , geography , archaeology , phylogenetic tree

We present a suite of on-line tools to design candidate vaccine proteins, and to assess antigen potential, using coverage of k-mers (as proxies for potential T-cell epitopes) as a metric. The vaccine design tool uses the recently published 'mosaic' method to generate protein sequences optimized for coverage of high-frequency k-mers; the coverage-assessment tools facilitate coverage comparisons for any potential antigens. To demonstrate these tools, we designed mosaic protein sets for B-clade HIV-1 Gag, Pol and Nef, and compared them to antigens used in a recent human vaccine trial.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research