Information, Coding, and Biological Function:...
URL: https://direct.mit.edu/artl/article/30/1/16/119531/Information-Coding-and-Biological-Function-The
Title: Information, Coding, and Biological Function: The Dynamics of Life
Author(s): Julyan H. E. Cartwright, Jitka Čejková, Elena Fimmel, Simone Giannerini, Diego Luis Gonzalez, Greta Goracci, Clara Grácio, Jeanine Houwing-Duistermaat, Dragan Matić, Nataša Mišić, Frans A. A. Mulder, Oreste Piro
DOI: https://doi.org/10.1162/artl_a_00432
Publication Date: 1 February 2024
Resource Type: Link
Format: Research paper
Working Group: WG1-WG2- WG3
Affiliation(s): 1) CSIC-Universidad de Granada, Instituto Andaluz de Ciencias de la Tierra, Department of Chemical Engineering, Instituto Carlos I de Física Teórica y Computacional; 2) University of Chemistry and Technology Prague; 3) Mannheim University of Applied Sciences, Institute of Mathematical Biology; 4) University of Bologna, Department of Statistical Science; 5) University of Bologna, Department of Statistical Science CNR, Area della Ricerca di Bologna; 6) Free University of Bozen-Bolzano, Institute of Mathematical Biology; 7) Universidade de Évora, CIMA Faculty of Economics and Management; 8) Radboud University, Department of Mathematics IMAPP; 9)University of Banja Luka, Faculty of Natural Science and Mathematics; 10) Research and Development, Institute Lola Ltd.; 11) Johannes Kepler University, Institute of Biochemistry; 12) Universitat de les Illes Balears, Department of Physics Mediterranean Institute for Advanced Studies
Access Status: Open
Keywords:
Description: 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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