BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

349 related articles for article (PubMed ID: 17386498)

  • 1. Quantitative structure-retention relationships of pesticides in reversed-phase high-performance liquid chromatography.
    Aschi M; D'Archivio AA; Maggi MA; Mazzeo P; Ruggieri F
    Anal Chim Acta; 2007 Jan; 582(2):235-42. PubMed ID: 17386498
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Modelling of retention of pesticides in reversed-phase high-performance liquid chromatography: quantitative structure-retention relationships based on solute quantum-chemical descriptors and experimental (solvatochromic and spin-probe) mobile phase descriptors.
    D'Archivio AA; Ruggieri F; Mazzeo P; Tettamanti E
    Anal Chim Acta; 2007 Jun; 593(2):140-51. PubMed ID: 17543600
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial neural network modelling of retention of pesticides in various octadecylsiloxane-bonded reversed-phase columns and water-acetonitrile mobile phase.
    D'Archivio AA; Maggi MA; Mazzeo P; Ruggieri F
    Anal Chim Acta; 2009 Jul; 646(1-2):47-61. PubMed ID: 19523555
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Investigation of retention behaviour of non-steroidal anti-inflammatory drugs in high-performance liquid chromatography by using quantitative structure-retention relationships.
    Carlucci G; D'Archivio AA; Maggi MA; Mazzeo P; Ruggieri F
    Anal Chim Acta; 2007 Oct; 601(1):68-76. PubMed ID: 17904471
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantitative structure-retention relationships of pesticides in reversed-phase high-performance liquid chromatography based on WHIM and GETAWAY molecular descriptors.
    D'Archivio AA; Maggi MA; Mazzeo P; Ruggieri F
    Anal Chim Acta; 2008 Nov; 628(2):162-72. PubMed ID: 18929004
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modelling of the effect of solute structure and mobile phase pH and composition on the retention of phenoxy acid herbicides in reversed-phase high-performance liquid chromatography.
    Aschi M; D'Archivio AA; Mazzeo P; Pierabella M; Ruggieri F
    Anal Chim Acta; 2008 Jun; 616(2):123-37. PubMed ID: 18482595
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Reversed-phase high performance liquid chromatography (RP-HPLC) characteristics of some 9,10-anthraquinone derivatives using binary acetonitrile-water mixtures as mobile phase.
    Hemmateenejad B; Shamsipur M; Safavi A; Sharghi H; Amiri AA
    Talanta; 2008 Oct; 77(1):351-9. PubMed ID: 18804645
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Structure-retention and mobile phase-retention relationships for reversed-phase high-performance liquid chromatography of several hydroxythioxanthone derivatives in binary acetonitrile-water mixtures.
    Amiri AA; Hemmateenejad B; Safavi A; Sharghi H; Beni AR; Shamsipur M
    Anal Chim Acta; 2007 Dec; 605(1):11-9. PubMed ID: 18022405
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-variable retention modelling in reversed-phase high-performance liquid chromatography based on the solvation method: a comparison between curvilinear and artificial neural network regression.
    D'Archivio AA; Maggi MA; Ruggieri F
    Anal Chim Acta; 2011 Mar; 690(1):35-46. PubMed ID: 21414434
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Strategy for reduced calibration sets to develop quantitative structure-retention relationships in high-performance liquid chromatography.
    Andries JP; Claessens HA; Heyden YV; Buydens LM
    Anal Chim Acta; 2009 Oct; 652(1-2):180-8. PubMed ID: 19786179
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Quantitative structure-retention relationships of azole antifungal agents in reversed-phase high performance liquid chromatography.
    Golubović J; Protić A; Zečević M; Otašević B; Mikić M; Živanović L
    Talanta; 2012 Oct; 100():329-37. PubMed ID: 23141345
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparative evaluation of high-performance liquid chromatography stationary phases used for the separation of peptides in terms of quantitative structure-retention relationships.
    Michel M; Baczek T; Studzińska S; Bodzioch K; Jonsson T; Kaliszan R; Buszewski B
    J Chromatogr A; 2007 Dec; 1175(1):49-54. PubMed ID: 17980378
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Theoretical analysis on retention behavior of pigments in reversed-phase high-performance liquid chromatographic (HPLC).
    Song Y; Zhou J; Song Y; Xie J; Ye Y
    Comput Biol Med; 2007 Mar; 37(3):315-9. PubMed ID: 16716287
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Determination of solute descriptors by chromatographic methods.
    Poole CF; Atapattu SN; Poole SK; Bell AK
    Anal Chim Acta; 2009 Oct; 652(1-2):32-53. PubMed ID: 19786169
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Novel approaches for retention time prediction of oligonucleotides in ion-pair reversed-phase high-performance liquid chromatography.
    Lei B; Li S; Xi L; Li J; Liu H; Yao X
    J Chromatogr A; 2009 May; 1216(20):4434-9. PubMed ID: 19324364
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quantitative structure-retention relationships for organic pollutants in biopartitioning micellar chromatography.
    Xia B; Ma W; Zhang X; Fan B
    Anal Chim Acta; 2007 Aug; 598(1):12-8. PubMed ID: 17693301
    [TBL] [Abstract][Full Text] [Related]  

  • 17. QSRR models for potential local anaesthetic drugs using high performance liquid chromatography.
    Durcekova T; Boronova K; Mocak J; Lehotay J; Cizmarik J
    J Pharm Biomed Anal; 2012 Feb; 59():209-16. PubMed ID: 22033336
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of elution bandwidth for purine compounds by a retention model in reversed-phase HPLC with linear-gradient elution.
    Jin CH; Lee JW; Row KH
    J Sep Sci; 2008 Jan; 31(1):23-9. PubMed ID: 18064619
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluating the performances of quantitative structure-retention relationship models with different sets of molecular descriptors and databases for high-performance liquid chromatography predictions.
    Wang C; Skibic MJ; Higgs RE; Watson IA; Bui H; Wang J; Cintron JM
    J Chromatogr A; 2009 Jun; 1216(25):5030-8. PubMed ID: 19439313
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Cross-column retention prediction in reversed-phase high-performance liquid chromatography by artificial neural network modelling.
    D'Archivio AA; Giannitto A; Maggi MA; Ruggieri F
    Anal Chim Acta; 2012 Mar; 717():52-60. PubMed ID: 22304815
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.