Classification of protein fold classes by knot theory and prediction of folds by neural networks: A combined theoretical and experimental approach

We present different means of classifying protein structure. One is made rigorous by mathematical knot invariants that coincide reasonably well with ordinary graphical fold classification and another classification is by packing analysis. Furthermore when constructing our mathematical fold classific...

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Bibliographic Details
Main Authors: Ramnarayan, K., Bohr, H., Jalkanen, Karl
Format: Journal Article
Published: Springer 2007
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/39498