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PUBMED FOR HANDHELDS

Journal Abstract Search


286 related items for PubMed ID: 17300970

  • 21. ADME evaluation in drug discovery. 3. Modeling blood-brain barrier partitioning using simple molecular descriptors.
    Hou TJ, Xu XJ.
    J Chem Inf Comput Sci; 2003; 43(6):2137-52. PubMed ID: 14632466
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  • 24. Analysing molecular polar surface descriptors to predict blood-brain barrier permeation.
    Shityakov S, Neuhaus W, Dandekar T, Förster C.
    Int J Comput Biol Drug Des; 2013; 6(1-2):146-56. PubMed ID: 23428480
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  • 27. Benchmarking of QSAR models for blood-brain barrier permeation.
    Konovalov DA, Coomans D, Deconinck E, Heyden YV.
    J Chem Inf Model; 2007; 47(4):1648-56. PubMed ID: 17602606
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  • 29. Predicting MDCK cell permeation coefficients of organic molecules using membrane-interaction QSAR analysis.
    Chen LL, Yao J, Yang JB, Yang J.
    Acta Pharmacol Sin; 2005 Nov; 26(11):1322-33. PubMed ID: 16225754
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  • 30. Effect of selection of molecular descriptors on the prediction of blood-brain barrier penetrating and nonpenetrating agents by statistical learning methods.
    Li H, Yap CW, Ung CY, Xue Y, Cao ZW, Chen YZ.
    J Chem Inf Model; 2005 Nov; 45(5):1376-84. PubMed ID: 16180914
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  • 31. Accurate prediction of the blood-brain partitioning of a large set of solutes using ab initio calculations and genetic neural network modeling.
    Hemmateenejad B, Miri R, Safarpour MA, Mehdipour AR.
    J Comput Chem; 2006 Aug; 27(11):1125-35. PubMed ID: 16721721
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  • 32. Skin permeation rate as a function of chemical structure.
    Katritzky AR, Dobchev DA, Fara DC, Hür E, Tämm K, Kurunczi L, Karelson M, Varnek A, Solov'ev VP.
    J Med Chem; 2006 Jun 01; 49(11):3305-14. PubMed ID: 16722649
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  • 33. A prediction model for blood-brain barrier permeation and analysis on its parameter biologically.
    Chen Y, Zhu QJ, Pan J, Yang Y, Wu XP.
    Comput Methods Programs Biomed; 2009 Sep 01; 95(3):280-7. PubMed ID: 19473718
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  • 34. Constructing optimum blood brain barrier QSAR models using a combination of 4D-molecular similarity measures and cluster analysis.
    Pan D, Iyer M, Liu J, Li Y, Hopfinger AJ.
    J Chem Inf Comput Sci; 2004 Sep 01; 44(6):2083-98. PubMed ID: 15554679
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  • 35. QSAR-based permeability model for drug-like compounds.
    Gozalbes R, Jacewicz M, Annand R, Tsaioun K, Pineda-Lucena A.
    Bioorg Med Chem; 2011 Apr 15; 19(8):2615-24. PubMed ID: 21458999
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  • 36. In silico prediction of blood brain barrier permeability: an Artificial Neural Network model.
    Garg P, Verma J.
    J Chem Inf Model; 2006 Apr 15; 46(1):289-97. PubMed ID: 16426064
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  • 37. 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 19; 1216(25):5030-8. PubMed ID: 19439313
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  • 38. Surface activity profiling of drugs applied to the prediction of blood-brain barrier permeability.
    Suomalainen P, Johans C, Söderlund T, Kinnunen PK.
    J Med Chem; 2004 Mar 25; 47(7):1783-8. PubMed ID: 15027870
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  • 39. QSPR correlation of melting point for drug compounds based on different sources of molecular descriptors.
    Modarresi H, Dearden JC, Modarress H.
    J Chem Inf Model; 2006 Mar 25; 46(2):930-6. PubMed ID: 16563024
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  • 40. Quantitative structure-pharmacokinetic relationships for drug clearance by using statistical learning methods.
    Yap CW, Li ZR, Chen YZ.
    J Mol Graph Model; 2006 Mar 25; 24(5):383-95. PubMed ID: 16290201
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