Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/41364

Title: Information, Coding, and Biological Function: The Dynamics of Life
Authors: Cartwright, Julyan
Grácio, Clara
Cejková, Jitka
Fimmel, Elena
Gonzalez, Diego
Piro, Oreste
Mišic, Natasa
Giannerini, Simone
Houwing-Duister, Jeanine
Goracci, Greta
Matic, Dragan
Mulder, Frans
Editors: Alan Dorin
Keywords: Complex biological systems
nonlinear dynamics,
classical and quantum information
biological codes
theoretical biology
Issue Date: 2024
Publisher: MIT Press Journals
Citation: 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; Information, Coding, and Biological Function: The Dynamics of Life. Artif Life 2024; 30 (1): 16–27
Abstract: In the mid-20th century, two new scientific disciplines emerged forcefully: molecular biology and informationcommunication 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.
URI: http://hdl.handle.net/10174/41364
ISSN: 1530-9185
Type: article
Appears in Collections:CIMA - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
2024_InformationCodingBiologicalFunctions_ArtificialLife.pdf611.42 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois