QSAR model of the quorum-quenching N-acyl-homoserine lactone lactonase activity

Chanin Nantasenamat, Department of Clinical Microbiology, Faculty of Medical Technology, Mahidol University
Theeraphon Piacham, Department of Clinical Microbiology, Faculty of Medical Technology, Mahidol University
Tanawut Tantimongcolwat, Department of Clinical Microbiology, Faculty of Medical Technology, Mahidol University
Thanakorn Naenna, Department of Clinical Microbiology, Faculty of Medical Technology, Mahidol University
Chartchalerm Isarankura-Na-Ayudhya, Department of Clinical Microbiology, Faculty of Medical Technology, Mahidol University
Virapong Prachayasittikul, Department of Clinical Microbiology, Faculty of Medical Technology, Mahidol University

Abstract

A quantitative structure-activity relationship (QSAR) study was performed to model the lactonolysis activity of N-acyl-homoserine lactone lactonase. A data set comprising of 20 homoserine lactones and related compounds was taken from the work of Wang et al. Quantum chemical descriptors were calculated using the semiempirical AM1 method. Partial least squares regression was utilized to construct a predictive model. This computational approach reliably reproduced the lactonolysis activity with high accuracy as illustrated by the correlation coefficient in excess of 0.9. It is demonstrated that the combined use of quantum chemical descriptors with partial least squares regression are suitable for modeling the AHL lactonolysis activity.