These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

107 related articles for article (PubMed ID: 21574402)

  • 21. Prediction of blood-brain partitioning: a model based on molecular electronegativity distance vector descriptors.
    Zhang YH; Xia ZN; Qin LT; Liu SS
    J Mol Graph Model; 2010 Sep; 29(2):214-20. PubMed ID: 20637670
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A new predictive model for the bioconcentration factors of polychlorinated biphenyls (PCBs) based on the molecular electronegativity distance vector (MEDV).
    Qin LT; Liu SS; Liu HL; Ge HL
    Chemosphere; 2008 Feb; 70(9):1577-87. PubMed ID: 17884134
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Qualitative characterization of three combustion-related standard reference materials for polycyclic aromatic sulfur heterocycles and their alkyl-substituted derivatives via normal-phase liquid chromatography and gas chromatography/mass spectrometry.
    Wilson WB; Hayes HV; Campiglia AD; Wise SA
    Anal Bioanal Chem; 2018 Jul; 410(17):4177-4188. PubMed ID: 29732496
    [TBL] [Abstract][Full Text] [Related]  

  • 24. QSRR prediction of the chromatographic retention behavior of painkiller drugs.
    Ghasemi J; Saaidpour S
    J Chromatogr Sci; 2009 Feb; 47(2):156-63. PubMed ID: 19222924
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Comparative multiple quantitative structure-retention relationships modeling of gas chromatographic retention time of essential oils using multiple linear regression, principal component regression, and partial least squares techniques.
    Qin LT; Liu SS; Liu HL; Tong J
    J Chromatogr A; 2009 Jul; 1216(27):5302-12. PubMed ID: 19486989
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Quantitative structure spectroscopy relationships of carbon-13 nuclear magnetic resonance chemical shifts of steroids.
    Tong J; Liu S; Zhou P; Zhang S; Li SZ
    J Mol Graph Model; 2007 Jul; 26(1):86-92. PubMed ID: 17204441
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Molecular electronegativity distance vector model for the prediction of bioconcentration factors in fish.
    Liu SS; Qin LT; Liu HL; Yin DQ
    J Mol Model; 2008 Feb; 14(2):83-92. PubMed ID: 18075765
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A quantitative structure- property relationship of gas chromatographic/mass spectrometric retention data of 85 volatile organic compounds as air pollutant materials by multivariate methods.
    Sarkhosh M; Ghasemi JB; Ayati M
    Chem Cent J; 2012 May; 6 Suppl 2(Suppl 2):S4. PubMed ID: 22594439
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Quantitative structure-retention relationship of selected imidazoline derivatives on α1-acid glycoprotein column.
    Filipic S; Ruzic D; Vucicevic J; Nikolic K; Agbaba D
    J Pharm Biomed Anal; 2016 Aug; 127():101-11. PubMed ID: 26968888
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Determination of polycyclic aromatic sulfur heterocycles in diesel particulate matter and diesel fuel by gas chromatography with atomic emission detection.
    Liang F; Lu M; Birch ME; Keener TC; Liu Z
    J Chromatogr A; 2006 May; 1114(1):145-53. PubMed ID: 16574137
    [TBL] [Abstract][Full Text] [Related]  

  • 31. QSRR modeling for the chromatographic retention behavior of some β-lactam antibiotics using forward and firefly variable selection algorithms coupled with multiple linear regression.
    Fouad MA; Tolba EH; El-Shal MA; El Kerdawy AM
    J Chromatogr A; 2018 May; 1549():51-62. PubMed ID: 29605180
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Quantitative structure-retention relationships for gas chromatographic retention indices of alkylbenzenes with molecular graph descriptors.
    Ivanciuc O; Ivanciuc T; Klein DJ; Seitz WA; Balaban AT
    SAR QSAR Environ Res; 2001 Feb; 11(5-6):419-52. PubMed ID: 11328713
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Quantitative structure-retention relationships models for prediction of high performance liquid chromatography retention time of small molecules: endogenous metabolites and banned compounds.
    Goryński K; Bojko B; Nowaczyk A; Buciński A; Pawliszyn J; Kaliszan R
    Anal Chim Acta; 2013 Oct; 797():13-9. PubMed ID: 24050665
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Capillary electrophoretic separation of polycyclic aromatic sulfur heterocycles.
    Nolte T; Andersson JT
    Anal Bioanal Chem; 2009 Nov; 395(6):1843-52. PubMed ID: 19701744
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Application of random forests method to predict the retention indices of some polycyclic aromatic hydrocarbons.
    Goudarzi N; Shahsavani D; Emadi-Gandaghi F; Chamjangali MA
    J Chromatogr A; 2014 Mar; 1333():25-31. PubMed ID: 24529953
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Quantitative study of the structure-retention index relationship in the imine family.
    Acevedo-Martínez J; Escalona-Arranz JC; Villar-Rojas A; Téllez-Palmero F; Pérez-Rosés R; González L; Carrasco-Velar R
    J Chromatogr A; 2006 Jan; 1102(1-2):238-44. PubMed ID: 16288769
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Development of linear and nonlinear predictive QSAR models and their external validation using molecular similarity principle for anti-HIV indolyl aryl sulfones.
    Roy K; Mandal AS
    J Enzyme Inhib Med Chem; 2008 Dec; 23(6):980-95. PubMed ID: 18608761
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Quantitative structure-retention relationship study of some phenol derivatives in gas chromatography.
    Garkani-Nejad Z
    J Chromatogr Sci; 2010 Apr; 48(4):317-23. PubMed ID: 20412656
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Towards a chromatographic similarity index to establish localised Quantitative Structure-Retention Relationships for retention prediction. III Combination of Tanimoto similarity index, logP, and retention factor ratio to identify optimal analyte training sets for ion chromatography.
    Park SH; Haddad PR; Amos RIJ; Talebi M; Szucs R; Pohl CA; Dolan JW
    J Chromatogr A; 2017 Oct; 1520():107-116. PubMed ID: 28916393
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Speciation of alkylated dibenzothiophenes through correlation of structure and gas chromatographic retention indexes.
    Schade T; Andersson JT
    J Chromatogr A; 2006 Jun; 1117(2):206-13. PubMed ID: 16600253
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.