Modeling Intrinsically Disordered Proteins with Bayesian Statistics

Modeling Intrinsically Disordered Proteins with Bayesian Statistics

The characterization of intrinsically disordered proteins is challenging because accurate models of these systems require a description of both their thermally accessible conformers and the associated relative stabilities or weights. These structures and weights are typically chosen such that calcul...

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Bibliographic Details
Main Authors: Fisher, Charles K. (Author), Huang, Austin (Contributor), Stultz, Collin M. (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Research Laboratory of Electronics (Contributor)
Format: Article
Language:English
Published: American Chemical Society, 2012-08-09T19:29:13Z.
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