Modelling Biochemical Pathways with Stochastic Process Algebra
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If you have a question about this talk, please contact Timothy G. Griffin.
Systems biology has recently emerged as an exciting new topic
in biological research. In contrast with traditional reductionist
views of biological entities, systems biology aims to develop a
functional understanding of how biological entities work together and
form the processes that govern life. Modelling plays a fundamental
role in this endeavour and in this talk I will explain some of the
benefits of using formalisms inspired by earlier work in theoretical
computer science for this modelling. In particular I will focus on
stochastic process algebra, which was originally developed for
performance modelling of computer and communication systems. I will
outline some of the successes, but also some of the challenges of
using stochastic process algebras in this new application area.
While the talk will be illustrated with a number of examples, no
significant biological knowledge will be assumed.
This talk is part of the Wednesday Seminars - Department of Computer Science and Technology series.
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