{"id":18,"date":"2016-11-20T13:20:58","date_gmt":"2016-11-20T13:20:58","guid":{"rendered":"http:\/\/www.cardiomath.net\/?p=18"},"modified":"2016-11-20T13:21:49","modified_gmt":"2016-11-20T13:21:49","slug":"mathematics-at-the-heart-of-cardiovascular-disease-february-18-2016-leave-a-comment-edit-im-giving-a-public-lecture-for-the-ima-next-week-watson-lecture-theatre-c-ground-floor-univer","status":"publish","type":"post","link":"http:\/\/www.cardiomaths.net\/index.php\/2016\/11\/20\/mathematics-at-the-heart-of-cardiovascular-disease-february-18-2016-leave-a-comment-edit-im-giving-a-public-lecture-for-the-ima-next-week-watson-lecture-theatre-c-ground-floor-univer\/","title":{"rendered":"A great way of getting the high quality data needed for modelling subcellular events."},"content":{"rendered":"<p>While biological studies are rapidly generating a clear picture of the key components involved in intracellular pathways they often lack\u00a0 details of how these components interact.\u00a0 Understanding these interactions is essential if we want to understand how a cell reacts to its environment. Mathematical modelling is a great to fill in these details but the problem is that high quality mathematical models need to be inferred from high quality data!<\/p>\n<p>Traditionally experimental data that describes subcellular signalling events such as protein phosphorylation comprises few time points and are not quantified. Our recent paper (DOI: 10.1371\/journal.pcbi.1004589) details a way of quickly obtaining the necessary high-density quantified data making it easier to infer mathematical models.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>While biological studies are rapidly generating a clear picture of the key components involved in intracellular pathways they often lack\u00a0 details of how these components interact.\u00a0 Understanding these interactions is essential if we want to understand how a cell reacts to its environment. Mathematical modelling is a great to fill in these details but the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/posts\/18"}],"collection":[{"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/comments?post=18"}],"version-history":[{"count":2,"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/posts\/18\/revisions"}],"predecessor-version":[{"id":20,"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/posts\/18\/revisions\/20"}],"wp:attachment":[{"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/media?parent=18"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/categories?post=18"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/tags?post=18"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}