BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

97 related articles for article (PubMed ID: 19937825)

  • 1. Large-scale evaluation of log P predictors: local corrections may compensate insufficient accuracy and need of experimentally testing every other compound.
    Tetko IV; Poda GI; Ostermann C; Mannhold R
    Chem Biodivers; 2009 Nov; 6(11):1837-44. PubMed ID: 19937825
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of ALOGPS 2.1 to predict log D distribution coefficient for Pfizer proprietary compounds.
    Tetko IV; Poda GI
    J Med Chem; 2004 Nov; 47(23):5601-4. PubMed ID: 15509156
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. In silico prediction of ionization constants of drugs.
    Lee PH; Ayyampalayam SN; Carreira LA; Shalaeva M; Bhattachar S; Coselmon R; Poole S; Gifford E; Lombardo F
    Mol Pharm; 2007; 4(4):498-512. PubMed ID: 17629304
    [TBL] [Abstract][Full Text] [Related]  

  • 5. ADME evaluation in drug discovery. 2. Prediction of partition coefficient by atom-additive approach based on atom-weighted solvent accessible surface areas.
    Hou TJ; Xu XJ
    J Chem Inf Comput Sci; 2003; 43(3):1058-67. PubMed ID: 12767165
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Can we estimate the accuracy of ADME-Tox predictions?
    Tetko IV; Bruneau P; Mewes HW; Rohrer DC; Poda GI
    Drug Discov Today; 2006 Aug; 11(15-16):700-7. PubMed ID: 16846797
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Solubility prediction of drugs in water-cosolvent mixtures using Abraham solvation parameters.
    Jouyban A; Soltanpour Sh; Soltani S; Chan HK; Acree WE
    J Pharm Pharm Sci; 2007; 10(3):263-77. PubMed ID: 17727790
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. In silico log P prediction for a large data set with support vector machines, radial basis neural networks and multiple linear regression.
    Chen HF
    Chem Biol Drug Des; 2009 Aug; 74(2):142-7. PubMed ID: 19549084
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of reliable aqueous solubility models and their application in druglike analysis.
    Wang J; Krudy G; Hou T; Zhang W; Holland G; Xu X
    J Chem Inf Model; 2007; 47(4):1395-404. PubMed ID: 17569522
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Calculation of lipophilicity for Pt(II) complexes: experimental comparison of several methods.
    Tetko IV; Jaroszewicz I; Platts JA; Kuduk-Jaworska J
    J Inorg Biochem; 2008 Jul; 102(7):1424-37. PubMed ID: 18289687
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning models for lipophilicity and their domain of applicability.
    Schroeter T; Schwaighofer A; Mika S; Laak AT; Suelzle D; Ganzer U; Heinrich N; Müller KR
    Mol Pharm; 2007; 4(4):524-38. PubMed ID: 17637064
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting blood-brain barrier penetration of drugs using an artificial neural network.
    Fu XC; Wang GP; Liang WQ; Yu QS
    Pharmazie; 2004 Feb; 59(2):126-30. PubMed ID: 15025181
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of aqueous solubility estimation from AQUAFAC and the GSE.
    Jain P; Sepassi K; Yalkowsky SH
    Int J Pharm; 2008 Aug; 360(1-2):122-47. PubMed ID: 18514447
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of milk/plasma concentration ratios of drugs and environmental pollutants.
    Abraham MH; Gil-Lostes J; Fatemi M
    Eur J Med Chem; 2009 Jun; 44(6):2452-8. PubMed ID: 19217191
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improving compound quality through in vitro and in silico physicochemical profiling.
    van de Waterbeemd H
    Chem Biodivers; 2009 Nov; 6(11):1760-6. PubMed ID: 19937820
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comparison of methods to handle skew distributed cost variables in the analysis of the resource consumption in schizophrenia treatment.
    Kilian R; Matschinger H; Löeffler W; Roick C; Angermeyer MC
    J Ment Health Policy Econ; 2002 Mar; 5(1):21-31. PubMed ID: 12529567
    [TBL] [Abstract][Full Text] [Related]  

  • 20. In silico prediction of drug solubility in water-ethanol mixtures using Jouyban-Acree model.
    Jouyban A; Acree WE
    J Pharm Pharm Sci; 2006; 9(2):262-9. PubMed ID: 16959195
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.