2014
DOI: 10.1007/978-94-017-9257-8_12
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Consensus Drug Design Using IT Microcosm

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Cited by 23 publications
(22 citation statements)
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“…Table 2 presents the indices of significance of the predicted biotargets, as calculated by a Microcosm BioS system [ 20 , 21 ] and reflecting the magnitude of the impact of the studied bornyl derivatives on these biotargets as well as structural similarity of these compounds to the nearest analogues from the quantitative structure–activity relationship (QSAR) base of standards.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Table 2 presents the indices of significance of the predicted biotargets, as calculated by a Microcosm BioS system [ 20 , 21 ] and reflecting the magnitude of the impact of the studied bornyl derivatives on these biotargets as well as structural similarity of these compounds to the nearest analogues from the quantitative structure–activity relationship (QSAR) base of standards.…”
Section: Resultsmentioning
confidence: 99%
“…For comprehensive in silico evaluation of the compounds' mechanism of hypoglycemic action, 24 key biotargets (Table 1) were chosen that had been verified in molecular pharmacology as important factors of diabetes pathogenesis [16][17][18]. Table 2 presents the indices of significance of the predicted biotargets, as calculated by a Microcosm BioS system [20,21] and reflecting the magnitude of the impact of the studied bornyl derivatives on these biotargets as well as structural similarity of these compounds to the nearest analogues from the quantitative structure-activity relationship (QSAR) base of standards.…”
Section: In Silico Analysismentioning
confidence: 99%
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“…In order to identify the most promising antidiabetic substances using IT Microcosm [25,26] and PASS computer systems [27,28], a step-by-step detailed in silico analysis of the hypoglycemic properties of the new compounds was carried out. Programs DruLiTo [29] and QikProp [30] were employed to assess key ADME properties and characteristics.…”
Section: Resultsmentioning
confidence: 99%
“…IT Microcosm [25,26] and PASS [27,28] computer systems were employed to determine the most promising chemical class of compounds. A training set of known hypoglycemic drugs and a library of tested benzimidazole derivatives were subjected to a consensus prediction of the level of hypoglycemic activity.…”
Section: In Silico Studymentioning
confidence: 99%