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 *

246 related articles for article (PubMed ID: 20810286)

  • 1. QSAR-based solubility model for drug-like compounds.
    Gozalbes R; Pineda-Lucena A
    Bioorg Med Chem; 2010 Oct; 18(19):7078-84. PubMed ID: 20810286
    [TBL] [Abstract][Full Text] [Related]  

  • 2. QSAR-based permeability model for drug-like compounds.
    Gozalbes R; Jacewicz M; Annand R; Tsaioun K; Pineda-Lucena A
    Bioorg Med Chem; 2011 Apr; 19(8):2615-24. PubMed ID: 21458999
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of aqueous solubility of a diverse set of compounds using quantitative structure-property relationships.
    Cheng A; Merz KM
    J Med Chem; 2003 Aug; 46(17):3572-80. PubMed ID: 12904062
    [TBL] [Abstract][Full Text] [Related]  

  • 4. New QSPR study for the prediction of aqueous solubility of drug-like compounds.
    Duchowicz PR; Talevi A; Bruno-Blanch LE; Castro EA
    Bioorg Med Chem; 2008 Sep; 16(17):7944-55. PubMed ID: 18701302
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of predictive QSAR models to database mining: identification and experimental validation of novel anticonvulsant compounds.
    Shen M; Béguin C; Golbraikh A; Stables JP; Kohn H; Tropsha A
    J Med Chem; 2004 Apr; 47(9):2356-64. PubMed ID: 15084134
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of in silico models for estimating drug preformulation risk in PEG400/water and Tween80/water systems.
    Crivori P; Morelli A; Pezzetta D; Rocchetti M; Poggesi I
    Eur J Pharm Sci; 2007 Nov; 32(3):169-81. PubMed ID: 17714921
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computational aqueous solubility prediction for drug-like compounds in congeneric series.
    Du-Cuny L; Huwyler J; Wiese M; Kansy M
    Eur J Med Chem; 2008 Mar; 43(3):501-12. PubMed ID: 17574307
    [TBL] [Abstract][Full Text] [Related]  

  • 8. On-the-fly selection of a training set for aqueous solubility prediction.
    Zhang H; Ando HY; Chen L; Lee PH
    Mol Pharm; 2007; 4(4):489-97. PubMed ID: 17628076
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of aqueous solubility based on large datasets using several QSPR models utilizing topological structure representation.
    Votano JR; Parham M; Hall LH; Kier LB; Hall LM
    Chem Biodivers; 2004 Nov; 1(11):1829-41. PubMed ID: 17191819
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Unified QSAR approach to antimicrobials. Part 3: first multi-tasking QSAR model for input-coded prediction, structural back-projection, and complex networks clustering of antiprotozoal compounds.
    Prado-Prado FJ; González-Díaz H; de la Vega OM; Ubeira FM; Chou KC
    Bioorg Med Chem; 2008 Jun; 16(11):5871-80. PubMed ID: 18485714
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of pH-dependent aqueous solubility of druglike molecules.
    Hansen NT; Kouskoumvekaki I; Jørgensen FS; Brunak S; Jónsdóttir SO
    J Chem Inf Model; 2006; 46(6):2601-9. PubMed ID: 17125200
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of drug solubility from molecular structure using a drug-like training set.
    Huuskonen J; Livingstone DJ; Manallack DT
    SAR QSAR Environ Res; 2008; 19(3-4):191-212. PubMed ID: 18484495
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of rodent carcinogenic potential of naturally occurring chemicals in the human diet using high-throughput QSAR predictive modeling.
    Valerio LG; Arvidson KB; Chanderbhan RF; Contrera JF
    Toxicol Appl Pharmacol; 2007 Jul; 222(1):1-16. PubMed ID: 17482223
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Global and local computational models for aqueous solubility prediction of drug-like molecules.
    Bergström CA; Wassvik CM; Norinder U; Luthman K; Artursson P
    J Chem Inf Comput Sci; 2004; 44(4):1477-88. PubMed ID: 15272856
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Unified QSAR approach to antimicrobials. 4. Multi-target QSAR modeling and comparative multi-distance study of the giant components of antiviral drug-drug complex networks.
    Prado-Prado FJ; Martinez de la Vega O; Uriarte E; Ubeira FM; Chou KC; González-Díaz H
    Bioorg Med Chem; 2009 Jan; 17(2):569-75. PubMed ID: 19112024
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ligand-based virtual screening and in silico design of new antimalarial compounds using nonstochastic and stochastic total and atom-type quadratic maps.
    Marrero-Ponce Y; Iyarreta-Veitía M; Montero-Torres A; Romero-Zaldivar C; Brandt CA; Avila PE; Kirchgatter K; Machado Y
    J Chem Inf Model; 2005; 45(4):1082-100. PubMed ID: 16045304
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of MC4PC and MDL-QSAR rodent carcinogenicity predictions and the enhancement of predictive performance by combining QSAR models.
    Contrera JF; Kruhlak NL; Matthews EJ; Benz RD
    Regul Toxicol Pharmacol; 2007 Dec; 49(3):172-82. PubMed ID: 17703860
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting physical properties of emerging compounds with limited physical and chemical data: QSAR model uncertainty and applicability to military munitions.
    Bennett ER; Clausen J; Linkov E; Linkov I
    Chemosphere; 2009 Nov; 77(10):1412-8. PubMed ID: 19793608
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and validation of a pharmacophore-based QSAR model for the prediction of CNS activity.
    Gozalbes R; Barbosa F; Nicolaï E; Horvath D; Froloff N
    ChemMedChem; 2009 Feb; 4(2):204-9. PubMed ID: 19097128
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A QSAR model for predicting rejection of emerging contaminants (pharmaceuticals, endocrine disruptors) by nanofiltration membranes.
    Yangali-Quintanilla V; Sadmani A; McConville M; Kennedy M; Amy G
    Water Res; 2010 Jan; 44(2):373-84. PubMed ID: 19616272
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.