Biomod/2011/PSU/BlueGenes/method: Difference between revisions
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For a network of N nodes with given coordinates, the cutoff distnace is r<sub>c</sub>. The fundamental NxN Kirchhoff matrix, Γ, has elements: | For a network of N nodes with given coordinates, the cutoff distnace is r<sub>c</sub>. The fundamental NxN Kirchhoff matrix, Γ, has elements: | ||
[[Image:Kirchoff.png]] | [[Image:Kirchoff.png]] | ||
where r<sub>ij</sub> is the distance between node i and node j. H(x) is the Heaviside step function where H(x)=1 for x>0 and H(x)=0 for x≤0. | where r<sub>ij</sub> is the distance between node i and node j. H(x) is the Heaviside step function where H(x)=1 for x>0 and H(x)=0 for x≤0. |
Revision as of 12:21, 18 October 2011
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GNMGaussian Network Model (GNM) predicts the flexibility of the structure by reducing it to be a set of certain atoms. The interactions of these atoms depend solely on their location. This representative set of atoms is known as nodes. Then a cutoff distance is defined such that outside of this distance, there are no interactions between nodes. For a network of N nodes with given coordinates, the cutoff distnace is rc. The fundamental NxN Kirchhoff matrix, Γ, has elements: where rij is the distance between node i and node j. H(x) is the Heaviside step function where H(x)=1 for x>0 and H(x)=0 for x≤0. |