9 found
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  1.  37
    Emergence and its place in nature: a case study of biochemical networks.Fred C. Boogerd, Frank J. Bruggeman, Robert C. Richardson, Achim Stephan & Hans V. Westerhoff - 2005 - Synthese 145 (1):131-164.
    We will show that there is a strong form of emergence in cell biology. Beginning with C.D. Broad’s classic discussion of emergence, we distinguish two conditions sufficient for emergence. Emergence in biology must be compatible with the thought that all explanations of systemic properties are mechanistic explanations and with their sufficiency. Explanations of systemic properties are always in terms of the properties of the parts within the system. Nonetheless, systemic properties can still be emergent. If the properties of the components (...)
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  2.  80
    Systems Biology: Philosophical Foundations.Fred C. Boogerd, Frank J. Bruggeman, Jan-Hendrik S. Hofmeyr & Hans V. Westerhoff (eds.) - 2007 - Boston: Elsevier.
    Systems biology is a vigorous and expanding discipline, in many ways a successor to genomics and perhaps unprecendented in its combination of biology with a ...
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  3.  46
    Towards philosophical foundations of Systems Biology: introduction.Fred C. Boogerd, Frank J. Bruggeman, Jan-Hendrik S. Hofmeyr & Hans V. Westerhoff - 2007 - In Fred C. Boogerd, Frank J. Bruggeman, Jan-Hendrik S. Hofmeyr & Hans V. Westerhoff (eds.), Systems Biology: Philosophical Foundations. Elsevier.
  4.  78
    Mechanistic Explanations and Models in Molecular Systems Biology.Fred C. Boogerd, Frank J. Bruggeman & Robert C. Richardson - 2013 - Foundations of Science 18 (4):725-744.
    Mechanistic models in molecular systems biology are generally mathematical models of the action of networks of biochemical reactions, involving metabolism, signal transduction, and/or gene expression. They can be either simulated numerically or analyzed analytically. Systems biology integrates quantitative molecular data acquisition with mathematical models to design new experiments, discriminate between alternative mechanisms and explain the molecular basis of cellular properties. At the heart of this approach are mechanistic models of molecular networks. We focus on the articulation and development of mechanistic (...)
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  5.  24
    Systems Biology: at last an integrative wet and dry Biology.Frank J. Bruggeman - 2007 - Biological Theory 2 (2):183-188.
    The progress of the molecular biosciences has been so enormous that a discipline studying how cellular functioning emerges out of the behaviors of their molecular constituents has become reality. Systems biology studies cells as spatiotemporal networks of interacting molecules using an integrative approach of theory , experimental biology , and quantitative network-wide analytical measurement . Its aim is to understand how molecules jointly bring about life. Systems biology is rapidly discovering principles governing the functioning of molecular networks and methods to (...)
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  6.  27
    Afterthoughts as foundations for systems biology.Fred C. Boogerd, Frank J. Bruggeman, Jan-Hendrik S. Hofmeyr & Hans V. Westerhoff - 2007 - In Fred C. Boogerd, Frank J. Bruggeman, Jan-Hendrik S. Hofmeyr & Hans V. Westerhoff (eds.), Systems Biology: Philosophical Foundations. Elsevier.
  7.  1
    Trade‐offs between the instantaneous growth rate and long‐term fitness: Consequences for microbial physiology and predictive computational models.Frank J. Bruggeman, Bas Teusink & Ralf Steuer - 2023 - Bioessays 45 (10):2300015.
    Microbial systems biology has made enormous advances in relating microbial physiology to the underlying biochemistry and molecular biology. By meticulously studying model microorganisms, in particular Escherichia coli and Saccharomyces cerevisiae, increasingly comprehensive computational models predict metabolic fluxes, protein expression, and growth. The modeling rationale is that cells are constrained by a limited pool of resources that they allocate optimally to maximize fitness. As a consequence, the expression of particular proteins is at the expense of others, causing trade‐offs between cellular objectives (...)
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  8.  7
    Multi‐tasking of biosynthetic and energetic functions of glycolysis explained by supply and demand logic.Johan H. van Heerden, Frank J. Bruggeman & Bas Teusink - 2015 - Bioessays 37 (1):34-45.
    After more than a century of research on glycolysis, we have detailed descriptions of its molecular organization, but despite this wealth of knowledge, linking the enzyme properties to metabolic pathway behavior remains challenging. These challenges arise from multi‐layered regulation and the context and time dependence of component functions. However, when viewed as a system that functions according to the principles of supply and demand, a simplifying theoretical framework can be applied to study its regulation logic and to assess the coherence (...)
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  9. Macromolecular intelligence in microorganisms. [REVIEW]Frank J. Bruggeman, Wally C. Van Heeswijk, Fred Boogerd & Hans V. Westerhoff - 2000 - Biological Chemistry 381:965-972.
    Biochemistry and molecular biology have been focusing on the structural, catalytic, and regulatory proper- ties of individual macromolecules from the perspective of clarifying the mechanisms of metabolism and gene expression. Complete genomes of ‘primitive’ living organisms seem to be substantially larger than necessary for metabolism and gene expression alone. This is in line with the findings of silent phenotypes for supposedly important genes, apparent redundancy of functions, and variegated networks of signal transduction and transcription factors. Here we propose that evolutionary (...)
     
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