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...
| 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 |
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