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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 Computer Laboratory Wednesday Seminars series.

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