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 *

134 related articles for article (PubMed ID: 27466954)

  • 1. In Silico Prediction of Caco-2 Cell Permeability by a Classification QSAR Approach.
    Pham The H; González-Álvarez I; Bermejo M; Mangas Sanjuan V; Centelles I; Garrigues TM; Cabrera-Pérez MÁ
    Mol Inform; 2011 Apr; 30(4):376-85. PubMed ID: 27466954
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A new approach to predict human intestinal absorption using porcine intestinal tissue and biorelevant matrices.
    Westerhout J; van de Steeg E; Grossouw D; Zeijdner EE; Krul CA; Verwei M; Wortelboer HM
    Eur J Pharm Sci; 2014 Oct; 63():167-77. PubMed ID: 25046168
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A new topological descriptors based model for predicting intestinal epithelial transport of drugs in Caco-2 cell culture.
    Marrero Ponce Y; Cabrera Pérez MA; Romero Zaldivar V; González Díaz H; Torrens F
    J Pharm Pharm Sci; 2004 Jun; 7(2):186-99. PubMed ID: 15367375
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Provisional classification and in silico study of biopharmaceutical system based on caco-2 cell permeability and dose number.
    Pham-The H; Garrigues T; Bermejo M; González-Álvarez I; Monteagudo MC; Cabrera-Pérez MÁ
    Mol Pharm; 2013 Jun; 10(6):2445-61. PubMed ID: 23675957
    [TBL] [Abstract][Full Text] [Related]  

  • 5. QSAR Prediction of Passive Permeability in the LLC-PK1 Cell Line: Trends in Molecular Properties and Cross-Prediction of Caco-2 Permeabilities.
    Sherer EC; Verras A; Madeira M; Hagmann WK; Sheridan RP; Roberts D; Bleasby K; Cornell WD
    Mol Inform; 2012 Apr; 31(3-4):231-45. PubMed ID: 27477094
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimation of ADME properties in drug discovery: predicting Caco-2 cell permeability using atom-based stochastic and non-stochastic linear indices.
    Castillo-Garit JA; Marrero-Ponce Y; Torrens F; García-Domenech R
    J Pharm Sci; 2008 May; 97(5):1946-76. PubMed ID: 17724669
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction and mechanistic interpretation of human oral drug absorption using MI-QSAR analysis.
    Iyer M; Tseng YJ; Senese CL; Liu J; Hopfinger AJ
    Mol Pharm; 2007; 4(2):218-31. PubMed ID: 17397237
    [TBL] [Abstract][Full Text] [Related]  

  • 8. ADME evaluation in drug discovery. 5. Correlation of Caco-2 permeation with simple molecular properties.
    Hou TJ; Zhang W; Xia K; Qiao XB; Xu XJ
    J Chem Inf Comput Sci; 2004; 44(5):1585-600. PubMed ID: 15446816
    [TBL] [Abstract][Full Text] [Related]  

  • 9. In silico modelling of permeation enhancement potency in Caco-2 monolayers based on molecular descriptors and random forest.
    Welling SH; Clemmensen LK; Buckley ST; Hovgaard L; Brockhoff PB; Refsgaard HH
    Eur J Pharm Biopharm; 2015 Aug; 94():152-9. PubMed ID: 26004819
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. ADME Properties Evaluation in Drug Discovery: Prediction of Caco-2 Cell Permeability Using a Combination of NSGA-II and Boosting.
    Wang NN; Dong J; Deng YH; Zhu MF; Wen M; Yao ZJ; Lu AP; Wang JB; Cao DS
    J Chem Inf Model; 2016 Apr; 56(4):763-73. PubMed ID: 27018227
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Exploring the role of different drug transport routes in permeability screening.
    Matsson P; Bergström CA; Nagahara N; Tavelin S; Norinder U; Artursson P
    J Med Chem; 2005 Jan; 48(2):604-13. PubMed ID: 15658873
    [TBL] [Abstract][Full Text] [Related]  

  • 13. In silico prediction of human oral absorption based on QSAR analyses of PAMPA permeability.
    Akamatsu M; Fujikawa M; Nakao K; Shimizu R
    Chem Biodivers; 2009 Nov; 6(11):1845-66. PubMed ID: 19937826
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Antiprotozoan lead discovery by aligning dry and wet screening: prediction, synthesis, and biological assay of novel quinoxalinones.
    Martins Alho MA; Marrero-Ponce Y; Barigye SJ; Meneses-Marcel A; Machado Tugores Y; Montero-Torres A; Gómez-Barrio A; Nogal JJ; García-Sánchez RN; Vega MC; Rolón M; Martínez-Fernández AR; Escario JA; Pérez-Giménez F; Garcia-Domenech R; Rivera N; Mondragón R; Mondragón M; Ibarra-Velarde F; Lopez-Arencibia A; Martín-Navarro C; Lorenzo-Morales J; Cabrera-Serra MG; Piñero J; Tytgat J; Chicharro R; Arán VJ
    Bioorg Med Chem; 2014 Mar; 22(5):1568-85. PubMed ID: 24513185
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Quantitative analysis of lab-to-lab variability in Caco-2 permeability assays.
    Lee JB; Zgair A; Taha DA; Zang X; Kagan L; Kim TH; Kim MG; Yun HY; Fischer PM; Gershkovich P
    Eur J Pharm Biopharm; 2017 May; 114():38-42. PubMed ID: 28088633
    [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 MDCK-MDR1 and Caco-2 cell based permeability assays for anti-malarial drug screening and drug investigations.
    Jin X; Luong TL; Reese N; Gaona H; Collazo-Velez V; Vuong C; Potter B; Sousa JC; Olmeda R; Li Q; Xie L; Zhang J; Zhang P; Reichard G; Melendez V; Marcsisin SR; Pybus BS
    J Pharmacol Toxicol Methods; 2014; 70(2):188-94. PubMed ID: 25150934
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Use of Rule-Based and QSPR Approaches in ADME Profiling: A Case Study on Caco-2 Permeability.
    Pham-The H; González-Álvarez I; Bermejo M; Garrigues T; Le-Thi-Thu H; Cabrera-Pérez MÁ
    Mol Inform; 2013 Jun; 32(5-6):459-79. PubMed ID: 27481666
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integration of in silico and in vitro tools for scaffold optimization during drug discovery: predicting P-glycoprotein efflux.
    Desai PV; Sawada GA; Watson IA; Raub TJ
    Mol Pharm; 2013 Apr; 10(4):1249-61. PubMed ID: 23363443
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Rational drug design for anti-cancer chemotherapy: multi-target QSAR models for the in silico discovery of anti-colorectal cancer agents.
    Speck-Planche A; Kleandrova VV; Luan F; Cordeiro MN
    Bioorg Med Chem; 2012 Aug; 20(15):4848-55. PubMed ID: 22750007
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.