Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/61983
Type: Artigo de periódico
Title: Nonequivalent Effects of Diverse LogP Algorithms in Three QSAR Studies
Author: de Melo, EB
Ferreira, MMC
Abstract: Despite of the availability and facility of accessing several algorithms for calculation of LogP in QSA(P)R studies, articles typically do not describe the selection procedure for the method used. Therefore, three studies to verify the influence of different LogP algorithms on building QSAR models were performed. Two QSAR data sets from the literature (forty-two tricyclic phtalimide inhibitors of HIV-integrase and fourty-six TIBO derivatives inhibitors of HIV-reverse transcriptase) were used together with LogP calculated by thirteen algorithms, and several regression models were constructed and compared. A new QSAR study for 4,5-dihydroxvpyrimidine carboxamides inhibitors of HIV-1 integrase was also performed. The explained and predicted variance, results from external validation, leave-N-out cross-validation and y-randomization test were analyzed for all models from the three data sets. Despite the same physicochemical meaning, LogP's calculated by distinct methods may show different levels of contribution to the model. This observation comes out from the comparison of validated models. These results indicate that the arbitrary choice of one specific algorithm for LogP calculation, as is usual in QSA(P)R studies, does not necessarily lead to the highest quality model for the analyzed data set.
Subject: LogP
QSAR
HIV inhibitors
QSAR validation
Structure-activity relationships
Drug design
Country: Alemanha
Editor: Wiley-v C H Verlag Gmbh
Rights: fechado
Identifier DOI: 10.1002/qsar.200810125
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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