Microbiologically it was demonstrated that amino acids, e.g. cysteine (CySH), and othercompounds, e.g. sodium thioglycollate, containing thiol groups neutralized the activity of silvernitrate against Pseudomonas aeruginosa PAOl. Amino acids with disulphide bonds wereinactive, with the exception of l‐cystine dimethyl ester, as were all amino acids with nosulphur groups. Iodoacetamide reacted with CySH to produce a CyS–acetamide complex thatwas unable to quench the activity of Ag+. Chemical analyses using cyclic voltammetrydemonstrated that high coordination numbers (3·1) were obtained with thiol‐containingamino acids and low numbers (0·28–0·4) with other amino acids. Bothmicrobiologically and chemically, the results imply that interaction of Ag+ with thiolgroups plays an essential role in bacterial inactivation.

No abstract

A non-linear approach was more appropriate than QSPRs or SLNs for the analysis of the dataset employed herein, as the prediction and confidence values in the prediction given by the Gaussian process are better than with other methods examined. Gaussian process provides a novel way of analysing skin absorption data that is substantially more accurate, statistically robust and reflective of our empirical understanding of skin absorption than the QSPR methods so far applied to skin absorption.

No abstract

A non-linear approach was more appropriate than QSPRs or SLNs for the analysis of the dataset employed herein, as the prediction and confidence values in the prediction given by the Gaussian process are better than with other methods examined. Gaussian process provides a novel way of analysing skin absorption data that is substantially more accurate, statistically robust and reflective of our empirical understanding of skin absorption than the QSPR methods so far applied to skin absorption.