{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T01:22:20Z","timestamp":1777339340258,"version":"3.51.4"},"reference-count":93,"publisher":"Portland Press Ltd.","issue":"2","content-domain":{"domain":["portlandpress.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2005,12,1]]},"abstract":"<jats:p>The MAPK (mitogen-activated protein kinase) pathway is one of the most important and intensively studied signalling pathways. It is at the heart of a molecular-signalling network that governs the growth, proliferation, differentiation and survival of many, if not all, cell types. It is de-regulated in various diseases, ranging from cancer to immunological, inflammatory and degenerative syndromes, and thus represents an important drug target. Over recent years, the computational or mathematical modelling of biological systems has become increasingly valuable, and there is now a wide variety of mathematical models of the MAPK pathway which have led to some novel insights and predictions as to how this system functions. In the present review we give an overview of the processes involved in modelling a biological system using the popular approach of ordinary differential equations. Focusing on the MAPK pathway, we introduce the features and functions of the pathway itself before comparing the available models and describing what new biological insights they have led to.<\/jats:p>","DOI":"10.1042\/bj20050908","type":"journal-article","created":{"date-parts":[[2005,12,2]],"date-time":"2005-12-02T12:23:50Z","timestamp":1133526230000},"page":"249-261","update-policy":"https:\/\/doi.org\/10.1042\/crossmark_policy","source":"Crossref","is-referenced-by-count":263,"title":["Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway"],"prefix":"10.1042","volume":"392","author":[{"given":"Richard\u00a0J.","family":"Orton","sequence":"first","affiliation":[{"name":"Bioinformatics Research Centre, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, Scotland, U.K."}]},{"given":"Oliver\u00a0E.","family":"Sturm","sequence":"additional","affiliation":[{"name":"Bioinformatics Research Centre, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, Scotland, U.K."}]},{"given":"Vladislav","family":"Vyshemirsky","sequence":"additional","affiliation":[{"name":"Bioinformatics Research Centre, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, Scotland, U.K."}]},{"given":"Muffy","family":"Calder","sequence":"additional","affiliation":[{"name":"Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, Scotland, U.K."}]},{"given":"David\u00a0R.","family":"Gilbert","sequence":"additional","affiliation":[{"name":"Bioinformatics Research Centre, Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, Scotland, U.K."}]},{"given":"Walter","family":"Kolch","sequence":"additional","affiliation":[{"name":"Institute of Biomedical and Life Sciences, University of Glasgow, Glasgow G12 8QQ, Scotland, U.K."},{"name":"Beatson Institute for Cancer Research, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, Scotland, U.K."}]}],"member":"288","published-online":{"date-parts":[[2005,11,22]]},"reference":[{"key":"2021112217155343400_B1","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1016\/S0079-6107(98)00056-X","article-title":"MAP kinase pathways","volume":"71","author":"Cobb","year":"1999","journal-title":"Prog. 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