Journal Article

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PLoS biology

PLoS Biol.

10-Aug

14

8

e1002530

JID: 101183755; 2016/08 [ecollection]; 2016/08/10 [epublish]; epublish

United States

1545-7885; 1544-9173

PMID: 27509052

eng

Journal Article; IM

10.1371/journal.pbio.1002530 [doi]

Unknown(0)

27509052

There is a need for formalised diagrams that both summarise current biological pathway knowledge and support modelling approaches that explain and predict their behaviour. Here, we present a new, freely available modelling framework that includes a biologist-friendly pathway modelling language (mEPN), a simple but sophisticated method to support model parameterisation using available biological information; a stochastic flow algorithm that simulates the dynamics of pathway activity; and a 3-D visualisation engine that aids understanding of the complexities of a system's dynamics. We present example pathway models that illustrate of the power of approach to depict a diverse range of systems.

O'Hara,L., Livigni,A., Theo,T., Boyer,B., Angus,T., Wright,D., Chen,S.H., Raza,S., Barnett,M.W., Digard,P., Smith,L.B., Freeman,T.C.

The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh, Midlothian, Scotland, United Kingdom.; MRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute

20160810

http://vp9py7xf3h.search.serialssolutions.com/?charset=utf-8&pmid=27509052

2016