Surviving Academic Research

نویسندگان

  • Nick Hay
  • Cristian S. Calude
  • Clark Thomborson
  • Ke Geng
  • DongJin Lee
  • Rachel Patel
  • Santokh Singh
چکیده

Common to all life on Earth are the mechanisms of geneticencoding, in which specific trinucleotide sequences in DNAand RNAmap to specific amino acids in synthesized proteins.This thesis project investigates feasible models of the evolu-tion of genetic encoding from an initially random populationof genes and proteins. Discrete simulations on the order of1010 event steps demonstrate self-organisation to apparent at-tractor states. This paper presents new results using a smallgene coding model that appears to find an attractor state usingpurely stochastic processes beginning from a random statewith no preferred genetic coding system. The focus of the re-search is on developing an abstract framework that does notdepend on explicit molecular details while demonstrating aplausible mechanism of self-organisation and persistence.

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تاریخ انتشار 2006