| Literature DB >> 12675536 |
Patrick Amar1, Pascal Ballet, Georgia Barlovatz-Meimon, Arndt Benecke, Gilles Bernot, Yves Bouligand, Paul Bourguine, Franck Delaplace, Jean-Marc Delosme, Maurice Demarty, Itzhak Fishov, Jean Fourmentin-Guilbert, Joe Fralick, Jean-Louis Giavitto, Bernard Gleyse, Christophe Godin, Roberto Incitti, François Képès, Catherine Lange, Lois Le Sceller, Corinne Loutellier, Olivier Michel, Franck Molina, Chantal Monnier, René Natowicz, Vic Norris, Nicole Orange, Helene Pollard, Derek Raine, Camille Ripoll, Josette Rouviere-Yaniv, Milton Saier, Paul Soler, Pierre Tambourin, Michel Thellier, Philippe Tracqui, Dave Ussery, Jean-Claude Vincent, Jean-Pierre Vannier, Philippa Wiggins, Abdallah Zemirline.
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.Entities:
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Year: 2002 PMID: 12675536 DOI: 10.1023/a:1022629004589
Source DB: PubMed Journal: Acta Biotheor ISSN: 0001-5342 Impact factor: 1.774