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Modelling gene regulation: (De)compositional and template-based strategies
Authors:Tarja Knuuttila  Vivette García Deister
Institution:1. University of South Carolina, University of Helsinki, 901 Sumter St., Byrnes Suite, Columbia, SC, 29208, USA;2. National Autonomous University of Mexico, Circuito Exterior, Cd. Universitaria, Copilco, Coyoacán, 04510 CDMX, Mexico;1. Jeffrey Sachs Center on Sustainable Development, Sunway University, Bandar Sunway, Selangor, Malaysia;2. Institute of Malaysia and International Studies, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia;1. RIAM, Kyushu University, Kasuga, Fukuoka, Japan;2. Tokai University, Toroku, Kumamoto, Japan;1. Institut des Sciences de la Mer, Université du Québec à Rimouski, QC, Canada G5L 3A1;2. Muséum National d''histoire Naturelle, Département Milieux et Peuplements Aquatiques, UMR BOREA 7208 CNRS/MNHN/P6/IRD, CRESCO, 38, rue du Port Blanc, 35800 Dinard, France;3. IFREMER, Laboratoire Environnement Ressources, Bd Jean Monnet, 34203 Sète, France;4. IFREMER DRV/A, Laboratoire de Physiologie des mollusques, Centre de Brest, 29280 Plouzané, France
Abstract:Although the interdisciplinary nature of contemporary biological sciences has been addressed by philosophers, historians, and sociologists of science, the different ways in which engineering concepts and methods have been applied in biology have been somewhat neglected. We examine – using the mechanistic philosophy of science as an analytic springboard – the transfer of network methods from engineering to biology through the cases of two biology laboratories operating at the California Institute of Technology. The two laboratories study gene regulatory networks, but in remarkably different ways. The research strategy of the Davidson lab fits squarely into the traditional mechanist philosophy in its aim to decompose and reconstruct, in detail, gene regulatory networks of a chosen model organism. In contrast, the Elowitz lab constructs minimal models that do not attempt to represent any particular naturally evolved genetic circuits. Instead, it studies the principles of gene regulation through a template-based approach that is applicable to any kinds of networks, whether biological or not. We call for the mechanists to consider whether the latter approach can be accommodated by the mechanistic approach, and what kinds of modifications it would imply for the mechanistic paradigm of explanation, if it were to address modelling more generally.
Keywords:Gene regulation  Modelling  Synthetic biology  Interdisciplinarity  Model transfer
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