Hyperstructures, genome analysis and I-Cells

Patrick Amar 1 Pascal Ballet 2 Georgia Barlovatz-Meimon 3 Arndt Benecke 4, 5 Gilles Bernot 2 Yves Bouligand 6 Paul Bourguine 7 Franck Delaplace 2 Jean-Marc Delosme 2 Maurice Demarty 8 Itzhak Fishov 9 Jean Fourmentin-Guilbert 10 Joe Fralick 11 Jean-Louis Giavitto 2 Bernard Gleyse 12 Christophe Godin 13 Roberto. Incitti 2 François Képès 14 Catherine Lange 15 Lois Le Sceller 8 Corinne Loutellier 15 Olivier Michel 2 Franck Molina 16, 17 Chantal Monnier 8 René Natowicz 18 Vic Norris 8 Nicole Orange 19 Hélène Pollard 20 Derek Raine 21 Camille Ripoll 8 Josette Rouviere-Yaniv 22 Milton Saier 23 Paul Soler 20 Pierre Tambourin 20 Michel Thellier 8 Philippe Tracqui 24 Dave Ussery 25 Jean-Claude Vincent 26 Jean-Pierre Vannier 27 Philippa Wiggins 28 Abdallah Zemirline 29
3 DYNAMIC
Physiopathologie et Thérapeutiques Respiratoires
24 DynaCell
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications [Grenoble]
Abstract : New concepts may prove necessary to profit from the avalanche of sequence data on the genome, transcriptome, proteome and interactome and to relate this information to cell physiology. Here, we focus on the concept of large activity-based structures, or hyperstructures, in which a variety of types of molecules are brought together to perform a function. We review the evidence for the existence of hyperstructures responsible for the initiation of DNA replication, the sequestration of newly replicated origins of replication, cell division and for metabolism. The processes responsible for hyperstructure formation include changes in enzyme affinities due to metabolite-induction, lipid-protein affinities, elevated local concentrations of proteins and their binding sites on DNA and RNA, and transertion. Experimental techniques exist that can be used to study hyperstructures and we review some of the ones less familiar to biologists. Finally, we speculate on how a variety of in silico approaches involving cellular automata and multi-agent systems could be combined to develop new concepts in the form of an Integrated cell (I-cell) which would undergo selection for growth and survival in a world of artificial microbiology.
keyword : eq2 mia
Type de document :
Article dans une revue
Acta Biotheoretica, Springer Verlag, 2002, 50 (4), pp.357-373. 〈10.1023/A:1022629004589〉
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Soumis le : mercredi 29 mai 2013 - 11:32:53
Dernière modification le : jeudi 5 juillet 2018 - 10:40:42

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Patrick Amar, Pascal Ballet, Georgia Barlovatz-Meimon, Arndt Benecke, Gilles Bernot, et al.. Hyperstructures, genome analysis and I-Cells. Acta Biotheoretica, Springer Verlag, 2002, 50 (4), pp.357-373. 〈10.1023/A:1022629004589〉. 〈hal-00827467〉

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