2012
DOI: 10.1016/j.bmc.2012.01.032
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Synthesis and biological validation of novel pyrazole derivatives with anticancer activity guided by 3D-QSAR analysis

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Cited by 68 publications
(29 citation statements)
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“…Cross validated q 2 of the models were q 2 > 0.3 indicates good internal prediction power of the model. Another parameter for prediction of test set analogues structures is high pred_r 2 > 0.4, which shows good external predictive power of the model 45 .…”
Section: Results: 2d Qsar Model Development and Its Validationmentioning
confidence: 97%
“…Cross validated q 2 of the models were q 2 > 0.3 indicates good internal prediction power of the model. Another parameter for prediction of test set analogues structures is high pred_r 2 > 0.4, which shows good external predictive power of the model 45 .…”
Section: Results: 2d Qsar Model Development and Its Validationmentioning
confidence: 97%
“…Quantitative Structure-Activity Relationship (QSAR) studies have been extensively applied to explore the correlations between biological activities and molecular descriptors for different classes of compounds (Soderholm et al, 2006; Vujasinovic et al, 2012). In this study, standard comparative molecular field analysis (CoMFA) was used to explore the relationships between structural features of all tested triterpenoids and their inhibitory effects on hCE1 (Table S1).…”
Section: Resultsmentioning
confidence: 99%
“…Настоящая работа посвящена исследованию взаимодействия 5-хлорпиразолов 2 и 3 с гидра-зингидратом с целью получения новых произ-водных пиразола как потенциальных биоактив-ных веществ [2][3][4][5][6][7][8][9][10][11][12].…”
Section: взаємодія 1-феніл-5-хлоро-1н-піразол-4-карбоксаміду і 1-феніunclassified