<Emphasis Type="Italic">In silico</Emphasis>, biologically-inspired modelling of genomic variation generation in surface proteins of <Emphasis Type="Italic">Trypanosoma cruzi</Emphasis> |
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Authors: | Francisco J Azuaje Jose L Ramirez Jose F Da Silveira |
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Institution: | 1.Computer Science Research Institute and School of Computing and Mathematics,University of Ulster,Jordanstown,UK;2.Biotechnology Centre,Instituto de Estudios Avanzados (IDEA)-MCT,Caracas,Venezuela;3.Escola Paulista de Medicina,Universidade Federal de S?o Paulo,Brazil |
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Abstract: | Background Protozoan parasites improve the likelihood of invading or adapting to the host through their capacity to present a large repertoire
of surface molecules. The understanding of the mechanisms underlying the generation of antigenic diversity is crucial to aid
in the development of therapies and the study of evolution. Despite advances driven by molecular biology and genomics, there
is a need to gain a deeper understanding of key properties that may facilitate variation generation, models for explaining
the role of genomic re-arrangements and the characterisation of surface protein families on the basis of their capacity to
generate variation. Computer models may be implemented to explore, visualise and estimate the variation generation capacity
of gene families in a dynamic fashion. In this paper we report the dynamic simulation of genomic variation using real T. cruzi coding sequences as inputs to a computational simulation system. The effects of random, multiple-point mutations and gene
conversions on genomic variation generation were quantitatively estimated and visualised. Simulations were also implemented
to investigate the potential role of pseudogenes as a source of antigenic variation in T. cruzi. |
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