David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Synthese 155 (3):307 - 320 (2007)
Prediction is more than testing established theory by examining whether the prediction matches the data. To show this, I examine the practices of a community of scientists, known as threaders, who are attempting to predict the final, folded structure of a protein from its primary structure, i.e., its amino acid sequence. These scientists employ a careful and deliberate methodology of prediction. A key feature of the methodology is calibration. They calibrate in order to construct better models. The construction leads to knowledge of how to construct or build an object. Thus, prediction serves a cognitive goal of model construction and not just model or theory testing. The kind of knowledge that results is relevantly different than theoretical knowledge.
|Keywords||Chemistry Protein folding Models|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Nancy Cartwright (1983). How the Laws of Physics Lie. Oxford University Press.
Davis Baird (2004). Thing Knowledge: A Philosophy of Scientific Instruments. University of California Press.
Allan Franklin (1990). The Neglect of Experiment. Noûs 24 (4):631-634.
Allan Franklin (1990). Experiment, Right or Wrong. Cambridge University Press.
Antonio Pérez-Ramos (1988). Francis Bacon's Idea of Science and the Maker's Knowledge Tradition. Oxford University Press.
Citations of this work BETA
Léna Soler, Frédéric Wieber, Catherine Allamel-Raffin, Jean-Luc Gangloff, Catherine Dufour & Emiliano Trizio (2013). Calibration: A Conceptual Framework Applied to Scientific Practices Which Investigate Natural Phenomena by Means of Standardized Instruments. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 44 (2):263-317.
Valeria Mosini (2013). Proteins, the Chaperone Function and Heredity. Biology and Philosophy 28 (1):53-74.
Similar books and articles
E. M. (1999). The Prion Challenge to the `Central Dogma' of Molecular Biology, 1965-1991 - Part I: Prelude to Prions. Studies in History and Philosophy of Science Part C 30 (1):1-19.
Jeffry L. Ramsey (1997). Between the Fundamental and the Phenomenological: The Challenge of 'Semi-Empirical' Methods. Philosophy of Science 64 (4):627-653.
Stephan Hartmann (1995). Models as a Tool for Theory Construction: Some Strategies of Preliminary Physics. In William Herfel et al (ed.), Theories and Models in Scientific Processes. Rodopi
Frederic Wieber, Theoretical Technologies in an “Experimental” Setting: Empirical Modeling of Proteinic Objects and Simulation of Their Dynamics Within Scientific Collaborations Around a Supercomputer.
Paul Humphreys (1995). Computational Science and Scientific Method. Minds and Machines 5 (4):499-512.
Alan Levin (2010). A Top-Down Approach to a Complex Natural System: Protein Folding. [REVIEW] Axiomathes 20 (4):423-437.
I. G. Tuluzov & S. I. Melnyk (2010). Physical Methodology for Economic Systems Modeling. Electronic Journal of Theoretical Physics (EJTP) 7 (24):57-78.
J. P. Liautard (1999). Analytical Background and Discussion of the Chaperone Model of Prion Diseases. Acta Biotheoretica 47 (3-4):219-238.
Alejandro Balbín & Eugenio Andrade (2004). Protein Folding and Evolution Are Driven by the Maxwell Demon Activity of Proteins. Acta Biotheoretica 52 (3):173-200.
Added to index2009-01-28
Total downloads20 ( #185,533 of 1,796,454 )
Recent downloads (6 months)5 ( #168,044 of 1,796,454 )
How can I increase my downloads?