2016
DOI: 10.1556/1006.2016.29.4.7
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Application of RP-18 thin-layer chromatography and quantitative structure–activity relationship analysis for the prediction of the blood–brain barrier permeation

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Cited by 10 publications
(39 citation statements)
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“…In total, a group of 154 structurally diverse molecules was investigated; this group included the set of 110 currently investigated structures. e log BB (B2) descriptors and chromatographic data (R f /PSA) exhibited a significant stability of the threshold limit between the CNS+ and CNS− compounds in all our experiments, involving a group of CNS+ drugs [21], CNS− inactive sunscreens, and excipients present in pharmaceutical and cosmetic preparations [22] and a large group of compounds of diverse structures and site of action [23].…”
Section: Introductionmentioning
confidence: 72%
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“…In total, a group of 154 structurally diverse molecules was investigated; this group included the set of 110 currently investigated structures. e log BB (B2) descriptors and chromatographic data (R f /PSA) exhibited a significant stability of the threshold limit between the CNS+ and CNS− compounds in all our experiments, involving a group of CNS+ drugs [21], CNS− inactive sunscreens, and excipients present in pharmaceutical and cosmetic preparations [22] and a large group of compounds of diverse structures and site of action [23].…”
Section: Introductionmentioning
confidence: 72%
“…e BBB permeability may be reflected by column and thin-layer chromatographic data (retention factors k, log k, R f , and R M , retention time t k , and retention volume V k ) [33][34][35][36][37][38][39][40][41]. Our earlier experiments [21][22][23] proved a close relationship between the RP-18 thin later chromatographic data and the CNS bioavailability. We proposed computational models of the BBB permeability based on multiple regression analysis (MR) and discriminant function analysis (DFA), involving thin-layer chromatographic descriptors R f and a novel parameter R f /PSA, supported by a set of physicochemical data.…”
Section: Introductionmentioning
confidence: 97%
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