Statistics Seminars: Folded curve interpretation of small angle scattering data
20 June 2017 14:30 in CM221
We use the continuous curve model of protein backbones to interpret small angle scattering data (Based on ). Using expressions derived in  we "dress" this backbone with scattering centres for the amino acids and an explicit hydration layer in order to obtain theoretical scattering curves; which are then fitted to scattering data. The idea behind the technique is that the predictions resemble protein folds and can be easily assessed as viable by structural biologists. In addition the description has a significantly reduced parameter space by comparison to existing small angle scattering ab-initio interpretative methods. The technique "correctly" predicts the structure of known proteins (e.g. BSA,lysosome and ferritin derivatives), but there will be a number of obstacles to general fitting which I would like to discuss.
 Hausrath, Andrew C., and Alain Goriely. "Repeat protein architectures predicted by a continuum representation of fold space." Protein Science 15.4 (2006): 753-760.
 Prior, Chris B., and Alain Goriely. "The Fourier transform of tubular densities." Journal of Physics A: Mathematical and Theoretical 45.22 (2012): 225208.
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