Modeling proteins, making scientists : an ethnography of pedagogy and visual cultures in contemporary structural biology

This ethnography tracks visualization and pedagogy in the burgeoning field of structural biology. Structural biologists are a multidisciplinary group of researchers who produce models and animations of protein molecules using three-dimensional interactive computer graphics. As they ramp up the pace of structure determination, modeling a vast array of proteins, these researchers are shifting life science research agendas from decoding genetic sequence data to interpreting the multidimensional forms of molecular life. One major hurdle they face is training a new generation of scientists to work with multi-dimensional data forms. In this study I document the formation and propagation of tacit knowledge in structural biology laboratories, in classrooms, and at conferences. This research shows that structural biologists-in-training must cultivate a feel for proteins in order to visualize and interpret their activity in cells. I find that protein modeling relies heavily on a set of practices I call the body-work of modeling. These tacit skills include: a) forms of kinesthetic knowledge that structural biologists gain through building and manipulating molecular models, and by using their own bodies as mimetic models to help them figure out how proteins move and interact; and b) narrative strategies that assume a teleological relationship between form and function, and which figure proteins through analogies with familiar human-scale phenomena, such as the pervasive description of proteins as "machines." What I find is that these researchers are not only transforming the objects of life science research: they are training a new generation of life scientists in forms of knowing attuned to the chemical affinities, physical forces and movements of protein molecules, and keyed to the tangible logic and rhetoric of "molecular machines."

Department dc:contributor.department

Massachusetts Institute of Technology. Program in Science, Technology and Society

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2007

Author dc:creator

• Myers, Natasha

Advisor dc:contributor.advisor

• Stefan Helmreich.

• Program in Science, Technology and Society.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/40976

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/40976