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Information, Coding, and Biological Function: The Dynamics of Life.
Cartwright, Julyan H E; Cejková, Jitka; Fimmel, Elena; Giannerini, Simone; Gonzalez, Diego Luis; Goracci, Greta; Grácio, Clara; Houwing-Duistermaat, Jeanine; Matic, Dragan; Misic, Natasa; Mulder, Frans A A; Piro, Oreste.
Afiliación
  • Cartwright JHE; CSIC-Universidad de Granada, Instituto Andaluz de Ciencias de la Tierra, Department of Chemical Engineering, Instituto Carlos I de Física Teórica y Computacional.
  • Cejková J; University of Chemistry and Technology Prague. cejkovaj@vscht.cz.
  • Fimmel E; Mannheim University of Applied Sciences, Institute of Mathematical Biology.
  • Giannerini S; University of Bologna, Department of Statistical Science.
  • Gonzalez DL; University of Bologna, Department of Statistical Science CNR, Area della Ricerca di Bologna.
  • Goracci G; Free University of Bozen-Bolzano, Institute of Mathematical Biology.
  • Grácio C; Universidade de Évora, CIMA Faculty of Economics and Management.
  • Houwing-Duistermaat J; Radboud University, Department of Mathematics IMAPP.
  • Matic D; University of Banja Luka, Faculty of Natural Science and Mathematics.
  • Misic N; Research and Development, Institute Lola Ltd.
  • Mulder FAA; Johannes Kepler University, Institute of Biochemistry.
  • Piro O; Universitat de les Illes Balears, Department of Physics Mediterranean Institute for Advanced Studies.
Artif Life ; 30(1): 16-27, 2024 Feb 01.
Article en En | MEDLINE | ID: mdl-38358121
ABSTRACT
In the mid-20th century, two new scientific disciplines emerged forcefully molecular biology and information-communication theory. At the beginning, cross-fertilization was so deep that the term genetic code was universally accepted for describing the meaning of triplets of mRNA (codons) as amino acids. However, today, such synergy has not taken advantage of the vertiginous advances in the two disciplines and presents more challenges than answers. These challenges not only are of great theoretical relevance but also represent unavoidable milestones for next-generation biology from personalized genetic therapy and diagnosis to Artificial Life to the production of biologically active proteins. Moreover, the matter is intimately connected to a paradigm shift needed in theoretical biology, pioneered a long time ago, that requires combined contributions from disciplines well beyond the biological realm. The use of information as a conceptual metaphor needs to be turned into quantitative and predictive models that can be tested empirically and integrated in a unified view. Successfully achieving these tasks requires a wide multidisciplinary approach, including Artificial Life researchers, to address such an endeavour.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología / Código Genético Tipo de estudio: Prognostic_studies Idioma: En Revista: Artif Life Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología / Código Genético Tipo de estudio: Prognostic_studies Idioma: En Revista: Artif Life Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article