{"id":183072,"date":"2007-03-23T00:00:00","date_gmt":"2009-10-31T10:17:16","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/imitating-the-immune-system\/"},"modified":"2016-09-09T09:59:13","modified_gmt":"2016-09-09T16:59:13","slug":"imitating-the-immune-system","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/imitating-the-immune-system\/","title":{"rendered":"Imitating the immune system"},"content":{"rendered":"<div class=\"asset-content\">\n<p>At CBS, we have during the recent years developed a number of web tools to be used in immunological research. These tools are all linked at http:\/\/www.cbs.dtu.dk\/services and include a predictor of proteasomal cleavage; NetChop-3.0 [1], a predictor of MHC class I peptide binding; NetMHC-3.0, the algorithms are described in [2,3], a CTL-epitope predictor; NetCTL-1.2 [4], a tool predicting linear B-cell epitopes; BebiPred, [5], a platform for prediction of discontinuous B-cell epitopes, DiscoTope, [6], and a tool for analysis of human immunoglobulin VDJ recombination; VDJsolver [7].  All methods have been validated in large-scale benchmark calculations and compete all with the state of the art prediction methods. Furthermore, we have developed some bioinformatics web-tools, which are very useful in immunological studies, including a general motif predictor; EasyGibbs (http:\/\/www.cbs.dtu.dk\/biotools\/EasyGibbs) that are usable for, e.g., MHC class II binding-motif recognition [3], and a visualization tool for linear epitopes; Epiplot (http:\/\/www.cbs.dtu.dk\/services\/Epiplot-1.0). All the tools are freely accessible over the Internet using any major web-browser. I would like to use this opportunity to go through some os the latest developments in the prediction algorithms behind these tools.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>At CBS, we have during the recent years developed a number of web tools to be used in immunological research. These tools are all linked at http:\/\/www.cbs.dtu.dk\/services and include a predictor of proteasomal cleavage; NetChop-3.0 [1], a predictor of MHC class I peptide binding; NetMHC-3.0, the algorithms are described in [2,3], a CTL-epitope predictor; NetCTL-1.2 [&hellip;]<\/p>\n","protected":false},"featured_media":194883,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-183072","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/tw-9tCfaru8","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/183072","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/183072\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/194883"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=183072"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=183072"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=183072"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=183072"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=183072"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=183072"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=183072"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=183072"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=183072"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=183072"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}