214 related articles for article (PubMed ID: 26916828)
1. Quantitative structure-retention relationships of flavonoids unraveled by immobilized artificial membrane chromatography.
Santoro AL; Carrilho E; Lanças FM; Montanari CA
Eur J Pharm Sci; 2016 Jun; 88():147-57. PubMed ID: 26916828
[TBL] [Abstract][Full Text] [Related]
2. Retention behavior of flavonoids on immobilized artificial membrane chromatography and correlation with cell-based permeability.
Tsopelas F; Tsagkrasouli M; Poursanidis P; Pitsaki M; Vasios G; Danias P; Panderi I; Tsantili-Kakoulidou A; Giaginis C
Biomed Chromatogr; 2018 Mar; 32(3):. PubMed ID: 29044623
[TBL] [Abstract][Full Text] [Related]
3. Predicting skin permeability of pharmaceutical and cosmetic compounds using retention on octadecyl, cholesterol-bonded and immobilized artificial membrane columns.
Grooten Y; Mangelings D; Vander Heyden Y
J Chromatogr A; 2022 Aug; 1676():463271. PubMed ID: 35779390
[TBL] [Abstract][Full Text] [Related]
4. The use of biopartitioning micellar chromatography and immobilized artificial membrane column for in silico and in vitro determination of blood-brain barrier penetration of phenols.
Stępnik KE; Malinowska I
J Chromatogr A; 2013 Apr; 1286():127-36. PubMed ID: 23506703
[TBL] [Abstract][Full Text] [Related]
5. Prediction of retention indices of drugs based on immobilized artificial membrane chromatography using Projection Pursuit Regression and Local Lazy Regression.
Du H; Watzl J; Wang J; Zhang X; Yao X; Hu Z
J Sep Sci; 2008 Jul; 31(12):2325-33. PubMed ID: 18491354
[TBL] [Abstract][Full Text] [Related]
6. Immobilized artificial membrane chromatography: quantitative structure-retention relationships of structurally diverse drugs.
Luco JM; Salinas AP; Torriero AA; Vázquez RN; Raba J; Marchevsky E
J Chem Inf Comput Sci; 2003; 43(6):2129-36. PubMed ID: 14632465
[TBL] [Abstract][Full Text] [Related]
7. pH-dependent surface electrostatic effects in retention on immobilized artificial membrane chromatography: Determination of the intrinsic phospholipid-water sorption coefficients of diverse analytes.
Yang YX; Zhang Q; Li QQ; Xia ZN; Chen H; Zhou K; Yang FQ
J Chromatogr A; 2018 Oct; 1570():172-182. PubMed ID: 30086834
[TBL] [Abstract][Full Text] [Related]
8. Orthogonal chromatographic descriptors for modelling Caco-2 drug permeability.
Deconinck E; Verstraete T; Van Gyseghem E; Vander Heyden Y; Coomans D
J Chromatogr Sci; 2012 Mar; 50(3):175-83. PubMed ID: 22337793
[TBL] [Abstract][Full Text] [Related]
9. Modeling Caco-2 permeability of drugs using immobilized artificial membrane chromatography and physicochemical descriptors.
Chan EC; Tan WL; Ho PC; Fang LJ
J Chromatogr A; 2005 Apr; 1072(2):159-68. PubMed ID: 15887485
[TBL] [Abstract][Full Text] [Related]
10. Retention-property relationships of 1,2,4-triazoles by micellar and reversed-phase liquid chromatography.
Janicka M; Pachuta-Stec A
J Sep Sci; 2014 Jun; 37(12):1419-28. PubMed ID: 24723541
[TBL] [Abstract][Full Text] [Related]
11. Transfer of gas chromatographic retention data among poly(siloxane) columns by quantitative structure-retention relationships based on molecular descriptors of both solutes and stationary phases.
Biancolillo A; D'Archivio AA
J Chromatogr A; 2022 Jan; 1663():462758. PubMed ID: 34954535
[TBL] [Abstract][Full Text] [Related]
12. Mechanistic Chromatographic Column Characterization for the Analysis of Flavonoids Using Quantitative Structure-Retention Relationships Based on Density Functional Theory.
Buszewski B; Žuvela P; Sagandykova G; Walczak-Skierska J; Pomastowski P; David J; Wong MW
Int J Mol Sci; 2020 Mar; 21(6):. PubMed ID: 32192096
[TBL] [Abstract][Full Text] [Related]
13. Localised quantitative structure-retention relationship modelling for rapid method development in reversed-phase high performance liquid chromatography.
Park SH; De Pra M; Haddad PR; Grosse S; Pohl CA; Steiner F
J Chromatogr A; 2020 Jan; 1609():460508. PubMed ID: 31530383
[TBL] [Abstract][Full Text] [Related]
14. Computational prediction of solubilizers' effect on partitioning.
Hoest J; Christensen IT; Jørgensen FS; Hovgaard L; Frokjaer S
Int J Pharm; 2007 Feb; 329(1-2):46-52. PubMed ID: 17045434
[TBL] [Abstract][Full Text] [Related]
15. Prediction and mechanism elucidation of analyte retention on phospholipid stationary phases (IAM-HPLC) by in silico calculated physico-chemical descriptors.
Russo G; Grumetto L; Barbato F; Vistoli G; Pedretti A
Eur J Pharm Sci; 2017 Mar; 99():173-184. PubMed ID: 27919703
[TBL] [Abstract][Full Text] [Related]
16. Reversed-phase liquid chromatography with octadecylsilyl, immobilized artificial membrane and cholesterol columns in correlation studies with in silico biological descriptors of newly synthesized antiproliferative and analgesic active compounds.
Janicka M; Sztanke M; Sztanke K
J Chromatogr A; 2013 Nov; 1318():92-101. PubMed ID: 24157086
[TBL] [Abstract][Full Text] [Related]
17. Studies of intestinal permeability of 36 flavonoids using Caco-2 cell monolayer model.
Tian XJ; Yang XW; Yang X; Wang K
Int J Pharm; 2009 Feb; 367(1-2):58-64. PubMed ID: 18848870
[TBL] [Abstract][Full Text] [Related]
18. Structure-retention behaviour of biologically active fused 1,2,4-triazinones--correlation with in silico molecular properties.
Sztanke M; Tuzimski T; Janicka M; Sztanke K
Eur J Pharm Sci; 2015 Feb; 68():114-26. PubMed ID: 25528370
[TBL] [Abstract][Full Text] [Related]
19. Immobilized-artificial-membrane chromatography: measurements of membrane partition coefficient and predicting drug membrane permeability.
Ong S; Liu H; Pidgeon C
J Chromatogr A; 1996 Mar; 728(1-2):113-28. PubMed ID: 8673230
[TBL] [Abstract][Full Text] [Related]
20. Quantitative structure-retention relationship studies with immobilized artificial membrane chromatography II: partial least squares regression.
Li J; Sun J; He Z
J Chromatogr A; 2007 Jan; 1140(1-2):174-9. PubMed ID: 17161410
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
