EventsThe 19th International Electronic Conference on Synthetic Organic Chemistry
Published
This submission belongs to the session e. Computational Chemistry of the event The 19th International Electronic Conference on Synthetic Organic Chemistry
Published date
30 Oct, 2015
Citation
Alina Bora, Ana Borota, Simona Funar-Timofei, Sorin Avram, Daniela Ionescu, QSAR MODELING ON FUNGICIDAL ACTIVITY OF MANNICH BASES, in Proceedings of The 19th International Electronic Conference on Synthetic Organic Chemistry, 1 November–30 November 2015, MDPI: Basel, Switzerland, doi: 10.3390/ecsoc-19-e005
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QSAR MODELING ON FUNGICIDAL ACTIVITY OF MANNICH BASES

Ana Borota 1
image
Sorin Avram 1
Daniela Ionescu 2
1. Coriolan Dragulescu Institute of Chemistry, Romanian Academy, Bv. Mihai Viteazu 24, 300223 Timisoara, Romania
2. University of Medicine and Pharmacy, Faculty of Pharmacy, P-ta E. Murgu 2-4, 300034 Timisoara, Romania
Abstract

In this study the fungicidal activity, expressed as relative inhibition rate, was correlated with trifluoromethyl-1,2,4-triazole derivative descriptors by the Partial Least Squares (PLS) method. For a data set containing 18 structures, previously modeled by the RM1 semiempirical quantum chemical method, various electronic and 0D, 1D, 2D and 3D descriptors were calculated. The test set includes five out of the eighteen Mannich bases containing trifluoromethyl-1,2,4-triazoles. The resultant two-components PLS model had acceptable statistical quality (R2X(Cum) = 0.805, R2Y(cum) = 0.823 and Q2(Cum) = 0.735) for predicting the fungicidal activity of the 1,2,4-triazole derivatives. Specific 1,2,4-triazole structural features supplying information about interatomic distances, topological distances, types of atoms and which encode chemical information influence the fungicidal activity.

Keywords
QSPR
fungicide
PLS
1,2,4-triazoles
model validation
Manuscript
Poster
poster_funar.pdf
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