Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.584818
Title: A collective intelligence framework for in silico representations of biomolecules and their activities
Author: Periyasamy, Sathish
Awarding Body: Cardiff University
Current Institution: Cardiff University
Date of Award: 2010
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Abstract:
The novel framework proposed in this thesis offers great potential for modelling the multi scale adaptive dynamics from molecules to cell at the physiological timescale. Most approaches for modelling biological phenomena focus on studies based on a specific instance of life, where specific biological problems are analysed. Mechanistic models based on universal principles will facilitate in developing general models for wider application in systems biology. The aim of the thesis is to investigate best approaches in representing biological complexity from molecules to cells and developing computational approaches to bring abstract theories to practical use by: (i) Identifying the major biomolecular self organising mechanism. (ii) Using a bottom-up integrative approach to model the internal organisation of the biological cell. (iii) Develop a Collective Intelligence based cell modelling and simulation environment to conduct analysis studies. This thesis argues that a system theoretic approach based on Collective Intelligence where the concepts of self organisation and emergence underlie the approach is ideal to represent the multi scale and multi objective nature of the biological cell from the bottom up. This thesis proposes a Collective Intelligence based cell modelling and simulation environment to conduct analysis studies on the collective behaviour of biomolecules.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.584818  DOI: Not available
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