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DC Field | Value | Language |
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dc.citation.endPage | 342 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 331 | - |
dc.citation.title | JOURNAL OF THEORETICAL BIOLOGY | - |
dc.citation.volume | 249 | - |
dc.contributor.author | Tlusty, Tsvi | - |
dc.date.accessioned | 2023-12-22T09:08:00Z | - |
dc.date.available | 2023-12-22T09:08:00Z | - |
dc.date.created | 2020-02-20 | - |
dc.date.issued | 2007-11 | - |
dc.description.abstract | The genetic code maps the 64 nucleotide triplets (codons) to 20 amino acids. Some argue that the specific form of the code with its 20 amino acids might be a 'frozen accident' because of the overwhelming effects of any further change. Others see it as a consequence of primordial biochemical pathways and their evolution. Here we examine a scenario in which evolution drives the emergence of a genetic code by selecting for an amino acid map that minimizes the impact of errors. We treat the stochastic mapping of codons to amino acids as a noisy information channel with a natural fitness measure. Organisms compete by the fitness of their codes and, as a result, a genetic code emerges at a supercritical transition in the noisy channel, when the mapping of codons to amino acids becomes non-random. At the phase transition, a small expansion is valid and the emergent code is governed by smooth modes of the Laplacian of errors. These modes are in turn governed by the topology of the error-graph, in which codons are connected if they are likely to be confused. This topology sets an upper bound-which is related to the classical map-coloring problem-on the number of possible amino acids. The suggested scenario is generic and may describe a mechanism for the formation of other error-prone biological codes, such as the recognition of DNA sites by proteins in the transcription regulatory network. | - |
dc.identifier.bibliographicCitation | JOURNAL OF THEORETICAL BIOLOGY, v.249, no.2, pp.331 - 342 | - |
dc.identifier.doi | 10.1016/j.jtbi.2007.07.029 | - |
dc.identifier.issn | 0022-5193 | - |
dc.identifier.scopusid | 2-s2.0-35448978365 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/31198 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0022519307003669?via%3Dihub | - |
dc.identifier.wosid | 000251520500017 | - |
dc.language | 영어 | - |
dc.publisher | ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD | - |
dc.title | A model for the emergence of the genetic code as a transition in a noisy information channel | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Biology; Mathematical & Computational Biology | - |
dc.relation.journalResearchArea | Life Sciences & Biomedicine - Other Topics; Mathematical & Computational Biology | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | genetic code | - |
dc.subject.keywordAuthor | rate-distortion theory | - |
dc.subject.keywordAuthor | biological information channels | - |
dc.subject.keywordPlus | SELF-ORGANIZING MAPS | - |
dc.subject.keywordPlus | ERROR MINIMIZATION | - |
dc.subject.keywordPlus | PHASE-TRANSITIONS | - |
dc.subject.keywordPlus | EVOLUTION | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
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