QSAR MODEL OF THE QUORUM-QUENCHING N-ACYL-HOMOSERINE LACTONE LACTONASE ACTIVITY
2008 ◽
Vol 16
(02)
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pp. 279-293
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Keyword(s):
Data Set
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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.
2010 ◽
Vol 09
(supp01)
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pp. 9-22
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2007 ◽
Vol 27
(5)
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pp. 618-626
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2000 ◽
Vol 8
(2)
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pp. 117-124
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2008 ◽
Vol 07
(05)
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pp. 989-999
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2015 ◽
Vol 135
(2)
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pp. 236-243
2012 ◽
Vol 61
(2)
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pp. 277-290
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2018 ◽
Vol 74
(4)
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pp. I_301-I_306
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