2006
DOI: 10.3998/ark.5550190.0007.e13
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QSAR study on murine recombinant isozyme mCAXIII: topological vs structural descriptors

Abstract: The paper describes a first novel QSAR study on murine recombinant isozyme mCAXIII. A comparative study on modeling of inhibition of this isozyme is made using a series of topological, structural descriptors as well as their combinations. The results have shown that distance-based topological indices yield significantly better models than the structural descriptors and the combination of topological and structural descriptors. In all the three cases the Balaban type indices played a dominating role.

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Cited by 6 publications
(1 citation statement)
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“…The results of R tra 2 = 0.762, and p < 0.05, indicate that the model built by the selected descriptors has a good fit. Additionally, the Durbin-Watson test (D-W test) is the most commonly used method to test the autocorrelation of the model [36]. The closer the DW value is to 2, the less autocorrelation there is in the model, and the model is acceptable when 1.5 < DW < 2.5.…”
Section: Prediction Models For Pesticide Class Chemicalsmentioning
confidence: 99%
“…The results of R tra 2 = 0.762, and p < 0.05, indicate that the model built by the selected descriptors has a good fit. Additionally, the Durbin-Watson test (D-W test) is the most commonly used method to test the autocorrelation of the model [36]. The closer the DW value is to 2, the less autocorrelation there is in the model, and the model is acceptable when 1.5 < DW < 2.5.…”
Section: Prediction Models For Pesticide Class Chemicalsmentioning
confidence: 99%