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 *

146 related articles for article (PubMed ID: 11913534)

  • 1. Prediction of human skin permeability using a combination of molecular orbital calculations and artificial neural network.
    Lim CW; Fujiwara S; Yamashita F; Hashida M
    Biol Pharm Bull; 2002 Mar; 25(3):361-6. PubMed ID: 11913534
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of Caco-2 cell permeability using a combination of MO-calculation and neural network.
    Fujiwara S; Yamashita F; Hashida M
    Int J Pharm; 2002 Apr; 237(1-2):95-105. PubMed ID: 11955808
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of human skin permeability using artificial neural network (ANN) modeling.
    Chen LJ; Lian GP; Han LJ
    Acta Pharmacol Sin; 2007 Apr; 28(4):591-600. PubMed ID: 17376301
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial neural network analysis for predicting human percutaneous absorption taking account of vehicle properties.
    Atobe T; Mori M; Yamashita F; Hashida M; Kouzuki H
    J Toxicol Sci; 2015 Apr; 40(2):277-94. PubMed ID: 25786531
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Prediction of skin penetration using artificial neural network (ANN) modeling.
    Değím T; Hadgraft J; Ilbasmiş S; Ozkan Y
    J Pharm Sci; 2003 Mar; 92(3):656-64. PubMed ID: 12587127
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of Multiple Linear Regressions and Neural Networks based QSAR models for the design of new antitubercular compounds.
    Ventura C; Latino DA; Martins F
    Eur J Med Chem; 2013; 70():831-45. PubMed ID: 24246731
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of corneal permeability using artificial neural networks.
    Agatonovic-Kustrin S; Evans A; Alany RG
    Pharmazie; 2003 Oct; 58(10):725-9. PubMed ID: 14609285
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of human intestinal absorption using an artificial neural network.
    Fu XC; Chen CX; Wang GP; Liang WQ; Yu QS
    Pharmazie; 2005 Sep; 60(9):674-6. PubMed ID: 16222867
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Prediction of human skin permeability of drugs in vivo with artificial neural network].
    Fu XC
    Zhejiang Da Xue Xue Bao Yi Xue Ban; 2003 Apr; 32(2):152-4, 158. PubMed ID: 12734943
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Application of artificial neural networks for predicting the aqueous acidity of various phenols using QSAR.
    Habibi-Yangjeh A; Danandeh-Jenagharad M; Nooshyar M
    J Mol Model; 2006 Feb; 12(3):338-47. PubMed ID: 16344950
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial neural network approach for predicting blood brain barrier permeability based on a group contribution method.
    Wu Z; Xian Z; Ma W; Liu Q; Huang X; Xiong B; He S; Zhang W
    Comput Methods Programs Biomed; 2021 Mar; 200():105943. PubMed ID: 33515846
    [TBL] [Abstract][Full Text] [Related]  

  • 14. QSARs and activity predicting models for competitive inhibitors of adenosine deaminase.
    Sadat Hayatshahi SH; Abdolmaleki P; Ghiasi M; Safarian S
    FEBS Lett; 2007 Feb; 581(3):506-14. PubMed ID: 17250831
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A fully computational model for predicting percutaneous drug absorption.
    Neumann D; Kohlbacher O; Merkwirth C; Lengauer T
    J Chem Inf Model; 2006; 46(1):424-9. PubMed ID: 16426076
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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; 49(11):3305-14. PubMed ID: 16722649
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Support vector machine regression (LS-SVM)--an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?
    Balabin RM; Lomakina EI
    Phys Chem Chem Phys; 2011 Jun; 13(24):11710-8. PubMed ID: 21594265
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Neural network modeling for estimation of the aqueous solubility of structurally related drugs.
    Huuskonen J; Salo M; Taskinen J
    J Pharm Sci; 1997 Apr; 86(4):450-4. PubMed ID: 9109047
    [TBL] [Abstract][Full Text] [Related]  

  • 19. QSPR studies on soot-water partition coefficients of persistent organic pollutants by using artificial neural network.
    Jiao L
    Chemosphere; 2010 Jul; 80(6):671-5. PubMed ID: 20452639
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of permeability of FD-4 through porous poly (2-hydroxyethyl methacrylate) membrane by multiple linear regression and artificial neural network.
    Yanagawa F; Onuki Y; Morishita M; Takayama K
    Pharmazie; 2009 May; 64(5):311-5. PubMed ID: 19530441
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.