Author: Lundegaard, Claus; Lund, Ole; Kesmir, Can; Brunak, Søren; Nielsen, Morten
Title: Modeling the adaptive immune system: predictions and simulations Document date: 2007_12_15
ID: 5m269nzi_19
Snippet: The state-of-the-art class I T-cell epitope prediction methods are today of a quality that makes it highly useful as an initial filtering technique in epitope discovery. Studies have demonstrated how it is possible to rapidly identify and verify MHC binders from upcoming possible threats such as the SARS virus (Sylvester-Hvid et al., 2004) with high reliability, and take such predictions a step further and validate the immunogenecity of peptides .....
Document: The state-of-the-art class I T-cell epitope prediction methods are today of a quality that makes it highly useful as an initial filtering technique in epitope discovery. Studies have demonstrated how it is possible to rapidly identify and verify MHC binders from upcoming possible threats such as the SARS virus (Sylvester-Hvid et al., 2004) with high reliability, and take such predictions a step further and validate the immunogenecity of peptides with limited efforts, as has been shown with the influenza A virus (Wang et al., 2007) . It is also possible to identify the vast majority of the relevant epitopes in a rather complex organism as the vaccinia virus using class I MHC binding predictions and only have to test a very minor fraction of the possible peptides in the virus proteome (Moutaftsi et al., 2006) .
Search related documents:
Co phrase search for related documents- art state and epitope discovery: 1, 2
- art state and high reliability: 1, 2, 3
- art state and minor fraction: 1
- filter technique and high reliability: 1
Co phrase search for related documents, hyperlinks ordered by date