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Original Research

Computer simulation of a novel pharmaceutical silicon nanocarrier

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Pages 149-157 | Published online: 16 Nov 2010

Figures & data

Figure 1 One molecule loaded in silicon-nanostructure (before minimization). The box inside silicon nanochambers shows the typical docking space.

Figure 1 One molecule loaded in silicon-nanostructure (before minimization). The box inside silicon nanochambers shows the typical docking space.

Table 2 The neural network architectures produced with the descriptors for bio-active compound with the error limit of <0.05

Table 1 Names of drugs and bioactive molecules used in this study

Figure 2 The highest interacting molecules according to the interaction energies (kcal/mol): In each cell the numbers show the IE (kcal/mol).

Figure 2 The highest interacting molecules according to the interaction energies (kcal/mol): In each cell the numbers show the IE (kcal/mol).

Figure 3 The relationship between size of molecules and interaction energy.

Figure 3 The relationship between size of molecules and interaction energy.

Figure 4 The relationship between Log P and interaction energy.

Figure 4 The relationship between Log P and interaction energy.

Figure 5 The relationship between hydration energies and interaction energy.

Figure 5 The relationship between hydration energies and interaction energy.

Figure 6 The relationship between molar refractivity and interaction energy.

Figure 6 The relationship between molar refractivity and interaction energy.

Figure 7 The relationship between surface tension and interaction energy.

Figure 7 The relationship between surface tension and interaction energy.

Figure 8 Predicted activity versus observed values obtained by architecture 11-7-1.

Figure 8 Predicted activity versus observed values obtained by architecture 11-7-1.