Quantitative structure–activity relationship (QSAR) analysis of plant‐derived compounds with larvicidal activity against Zika   Aedes aegypti   (Diptera: Culicidae) vector using freely available descriptors | Zendy

Saavedra Laura M | Zendy; Romanelli Gustavo P | Zendy; Duchowicz Pablo R | Zendy

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Quantitative structure–activity relationship (QSAR) analysis of plant‐derived compounds with larvicidal activity against Zika Aedes aegypti (Diptera: Culicidae) vector using freely available descriptors

Author(s) -

Saavedra Laura M,

Romanelli Gustavo P,

Duchowicz Pablo R

Publication year - 2018

Publication title -

pest management science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.296

H-Index - 125

eISSN - 1526-4998

pISSN - 1526-498X

DOI - 10.1002/ps.4850

Subject(s) - quantitative structure–activity relationship , aedes aegypti , chikungunya , loo , applicability domain , yellow fever , test set , molecular descriptor , artificial intelligence , dengue fever , computational biology , biology , machine learning , computer science , ecology , virology , virus , larva

A QSAR model for 60 larvicides against A. aegypti is established, employing the RM technique for correlating 18 326 descriptors. We provide a suitable tool for predicting LC 50 using a conformation‐independent approach.

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