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Non-enzymatic template-directed RNA recombination processes in Monte Carlo simulation model of the RNA world

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

RNA World hypothesis assumes that once there was the time when RNA played main role on the field of life. According to this theory RNA strands acted both as information carriers and catalysers of chemical reactions. Despite many evidences that RNA world existed and predated current life based on DNA there is still a lot of unanswered questions and troubles to solve. We conducted series of computer simulations based on modified model of Monte Carlo simulation of RNA world. Model bases on real chemical processes operating on RNA strands. In our simulations we put an eye on RNA recombination processes. According to many researchers these processes might lead to elongation of RNA chains and creation of novel sequences in the solution. These new RNA chains could have catalytic activities and serve as RNA replicase. Outcomes of computer simulations let us assume that RNA recombination processes are important phenomena in the RNA world and might lead to significant RNA chains elongation.

Original languageEnglish
Title of host publicationLatest Trends on Systems International Conference on Systems - 14th WSEAS International Conference on Systems, Part of the 14th WSEAS CSCC Multiconference
Pages676-681
Number of pages6
Publication statusPublished - 2010
Event14th WSEAS International Conference on Systems, Part of the 14th WSEAS CSCC Multiconference - Corfu Island, Greece
Duration: 22 Jul 2010 → 24 Jul 2010

Publication series

NameInternational Conference on Systems - Proceedings
Volume1

Conference

Conference14th WSEAS International Conference on Systems, Part of the 14th WSEAS CSCC Multiconference
Country/TerritoryGreece
CityCorfu Island
Period22/07/10 → 24/07/10

Keywords

  • Computer simulation
  • Monte Carlo method
  • RNA recombination
  • RNA replicase
  • RNA world

ASJC Scopus subject areas

  • Control and Systems Engineering

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