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Seminar - Ryan Gutenkunst

Speaker: Dr. Ryan Gutenkunst
Title: Sloppiness in biochemical modeling and evolution
Time: Tuesday June 9 at 14.00
Place: M2.12
Abstract: Many quantitative modeling efforts, particularly in biology, are hampered by a profusion of unmeasured parameters. We demonstrate that biochemical network models exhibit a universal "sloppy" pattern of sensitivity to parameter variation; different directions in parameter space vary by orders of magnitude in their constraint. We argue that, consequently, predictions of future experiments may be usefully constrained even when the available data only very poorly constrain parameter values. This suggests a change in mindset for some, away from a focus on parameters and toward a focus on predictions. We also briefly explore potential consequences of sloppiness for evolution.

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