A QSAR analysis has been carried out on a set of local anesthetic drugs structurally related to lidocaine. The surface and the infiltration activities and the acute toxicity have been examined, and their dependence upon structural as well as physico‐chemical parameters has been expressed in terms of both linear and non‐linear models. The results embodied in the correlation equations are discussed at the light of recent theories on the local anesthetic action. In accord with these theories, the hydro‐/lipophilic balance of the molecules has a basic role in modulating the potency of the compounds, also if this property can be “hidden” behind some structural features. Once the contributions of these structural characteristics have been ruled out (by means of indicator variables), the dependence of the biological response on the distribution coefficient can be quantitatively assessed. Copyright © 1988 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim
Recanatini M., Valenti P., Re P.D. (1988). Quantitative Structure‐Activity Relationships in a Set of Local Anesthetic Agents. QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS, 7(1), 12-18 [10.1002/qsar.19880070104].
Quantitative Structure‐Activity Relationships in a Set of Local Anesthetic Agents
Recanatini M.;Valenti P.;
1988
Abstract
A QSAR analysis has been carried out on a set of local anesthetic drugs structurally related to lidocaine. The surface and the infiltration activities and the acute toxicity have been examined, and their dependence upon structural as well as physico‐chemical parameters has been expressed in terms of both linear and non‐linear models. The results embodied in the correlation equations are discussed at the light of recent theories on the local anesthetic action. In accord with these theories, the hydro‐/lipophilic balance of the molecules has a basic role in modulating the potency of the compounds, also if this property can be “hidden” behind some structural features. Once the contributions of these structural characteristics have been ruled out (by means of indicator variables), the dependence of the biological response on the distribution coefficient can be quantitatively assessed. Copyright © 1988 WILEY‐VCH Verlag GmbH & Co. KGaA, WeinheimI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.