Abstract
The linear combinations of connectivity indices method (LCCI) is here employed to model the water solubility and activity of 19 natural amino acids. Starting with the molecular connectivity indices, reciprocal and supra molecular connectivity indices are designed to model the solubility and activity spaces of the natural amino acids. The reciprocal and supra molecular reciprocal connectivity indices have been obtained following the variability of the connectivity indices along solubility space of the natural amino acids. A linear combination of the reciprocals of the connectivity indices (LCRCI) showed a satisfactory modelling of the solubility and activity space while a model based on the LCRCI together with the introduction of supra reciprocal molecular connectivity indices for Pro, Ser and Arg achieved an optimal modelling of the solubility and activity space of the natural amino acids.
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