Literature DB >> 11325503

Autocatalysis, information and coding.

P R Wills1.   

Abstract

Autocatalytic self-construction in macromolecular systems requires the existence of a reflexive relationship between structural components and the functional operations they perform to synthesise themselves. The possibility of reflexivity depends on formal, semiotic features of the catalytic structure-function relationship, that is, the embedding of catalytic functions in the space of polymeric structures. Reflexivity is a semiotic property of some genetic sequences. Such sequences may serve as the basis for the evolution of coding as a result of autocatalytic self-organisation in a population of assignment catalysts. Autocatalytic selection is a mechanism whereby matter becomes differentiated in primitive biochemical systems. In the case of coding self-organisation, it corresponds to the creation of symbolic information. Prions are present-day entities whose replication through autocatalysis reflects aspects of biological semiotics less obvious than genetic coding.

Mesh:

Substances:

Year:  2001        PMID: 11325503     DOI: 10.1016/s0303-2647(01)00107-1

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  5 in total

1.  Spontaneous mutual ordering of nucleic acids and proteins.

Authors:  Peter R Wills
Journal:  Orig Life Evol Biosph       Date:  2015-01-14       Impact factor: 1.950

Review 2.  Experimental solutions to problems defining the origin of codon-directed protein synthesis.

Authors:  Charles W Carter; Peter R Wills
Journal:  Biosystems       Date:  2019-06-06       Impact factor: 1.973

Review 3.  Insuperable problems of the genetic code initially emerging in an RNA world.

Authors:  Peter R Wills; Charles W Carter
Journal:  Biosystems       Date:  2017-09-10       Impact factor: 1.973

Review 4.  Reciprocally-Coupled Gating: Strange Loops in Bioenergetics, Genetics, and Catalysis.

Authors:  Charles W Carter; Peter R Wills
Journal:  Biomolecules       Date:  2021-02-11

5.  Molecular circuits for associative learning in single-celled organisms.

Authors:  Chrisantha T Fernando; Anthony M L Liekens; Lewis E H Bingle; Christian Beck; Thorsten Lenser; Dov J Stekel; Jonathan E Rowe
Journal:  J R Soc Interface       Date:  2008-10-03       Impact factor: 4.118

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.