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Understanding protein function through multiple models of structure: barriers to integration

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In order to understand protein function, information from models of structure generated from different experimental techniques must often be integrated. We show that such integration sometimes takes the form of the undue influence of models of structure produced using one experimental technique on the interpretation of data from another. We argue that interpretation of data should instead take place with close attention to the experimental context in which it was generated, resulting in models that best exhibit features of the protein which that context is designed to showcase. Integration should take place only thereafter and should take the form of ‘integration that maintains pluralism’ (Mitchell & Gronenborn 2017): information from each model should be integrated to inform understandings of protein function, while nonetheless retaining each model.

This talk is part of the CamPoS (Cambridge Philosophy of Science) seminar series.

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