Literature DB >> 24178838

Modeling the solubility and activity of amino acids with the LCCI method.

L Pogliani1.   

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.

Entities:  

Year:  1995        PMID: 24178838     DOI: 10.1007/BF00805953

Source DB:  PubMed          Journal:  Amino Acids        ISSN: 0939-4451            Impact factor:   3.520


  3 in total

1.  Molecular connectivity model for determination of isoelectric point of amino acids.

Authors:  L Pogliani
Journal:  J Pharm Sci       Date:  1992-04       Impact factor: 3.534

2.  Structure property relationships of amino acids and some dipeptides.

Authors:  L Pogliani
Journal:  Amino Acids       Date:  1994-06       Impact factor: 3.520

3.  Kinetic characterization of carboxypeptidase-Y-catalyzed peptide semisynthesis Prediction of yields.

Authors:  U Christensen
Journal:  Amino Acids       Date:  1994-06       Impact factor: 3.520

  3 in total

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