Formal computational framework for the study of molecular evolution
dc.contributor.advisor
Stark, Ian
en
dc.contributor.author
Kwiatkowski, Marek
en
dc.date.accessioned
2011-02-02T11:37:42Z
dc.date.available
2011-02-02T11:37:42Z
dc.date.issued
2010
dc.description.abstract
Over the past 10 years, multiple executable modelling formalisms for molecular
biology have been developed in order to address the growing need for a
system-level understanding of complex biological phenomena. An important class
of these formalisms are biology-inspired process algebras, which offer-among
other desirable properties - an almost complete separation of model specification
(syntax) from model dynamics (semantics). In this thesis, the similarity between
this separation and the genotype-phenotype duality in evolutionary biology is
exploited to develop a process-algebraic approach to the study of evolution of
biochemical systems.
The main technical contribution of this thesis is the continuous π-calculus (cπ),
a novel process algebra based on the classical π-calculus of Milner et. al. Its two
defining characteristics are: continuous, compositional, computationally inexpensive
semantics, and a
exible interaction structure of processes (molecules). Both
these features are conductive to evolutionary analysis of biochemical systems
by, respectively, enabling many variants of a given model to be evaluated, and
facilitating in silico evolution of new functional connections. A further major
contribution is a collection of variation operators, syntactic model transformation
schemes corresponding to common evolutionary events. When applied to a
cπ model of a biochemical system, variation operators produce its evolutionary
neighbours, yielding insights into the local fitness landscape and neutral neighbourhood.
Two well-known biochemical systems are modelled in this dissertation to validate
the developed theory. One is the KaiABC circadian clock in the cyanobacterium
S. elongatus, the other is a mitogen-activated protein kinase cascade. In each case
we study the system itself as well as its predicted evolutionary variants. Simpler
examples, particularly that of a generic enzymatic reaction, are used throughout
the thesis to illustrate important concepts as they are introduced.
en
dc.identifier.uri
http://hdl.handle.net/1842/4765
dc.language.iso
en
dc.publisher
The University of Edinburgh
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dc.relation.hasversion
M. Kwiatkowski and I. Stark, The continuous π-calculus: A process algebra for biochemical modelling, in Heiner and Uhrmacher pp. 103-122.
en
dc.subject
continuous π-calculus
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dc.subject
variation operators
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dc.title
Formal computational framework for the study of molecular evolution
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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