Chanin NantasenamatTheeraphon PiachamTanawut TantimongcolwatThanakorn NaennaChartchalerm Isarankura-Na-AyudhyaVirapong PrachayasittikulMahidol University2018-07-122018-07-122008-06-01Journal of Biological Systems. Vol.16, No.2 (2008), 279-293021833902-s2.0-44849097809https://repository.li.mahidol.ac.th/handle/123456789/18730A 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. © 2008 World Scientific Publishing Company.Mahidol UniversityAgricultural and Biological SciencesEnvironmental ScienceMathematicsArticleSCOPUS10.1142/S021833900800254X