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A collective intelligence framework for in silico representations of biomolecules and their activities.

Periyasamy, Sathish 2010. A collective intelligence framework for in silico representations of biomolecules and their activities. PhD Thesis, Cardiff University.

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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.

Item Type: Thesis (PhD)
Status: Unpublished
Schools: Biosciences
Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QR Microbiology
Date of First Compliant Deposit: 30 March 2016
Last Modified: 19 Mar 2016 23:29
URI: http://orca-mwe.cf.ac.uk/id/eprint/54170

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