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 *

165 related articles for article (PubMed ID: 20692885)

  • 1. A quantitative structure-activity relationship (QSAR) investigation of a Draize eye irritation database.
    Cronin MT; Basketter DA; York M
    Toxicol In Vitro; 1994 Feb; 8(1):21-8. PubMed ID: 20692885
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of eye irritation from organic chemicals using membrane-interaction QSAR analysis.
    Kulkarni A; Hopfinger AJ; Osborne R; Bruner LH; Thompson ED
    Toxicol Sci; 2001 Feb; 59(2):335-45. PubMed ID: 11158727
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Quantification of contributions of molecular fragments for eye irritation of organic chemicals using QSAR study.
    Kar S; Roy K
    Comput Biol Med; 2014 May; 48():102-8. PubMed ID: 24657909
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimation of the chemical-induced eye injury using a weight-of-evidence (WoE) battery of 21 artificial neural network (ANN) c-QSAR models (QSAR-21): part I: irritation potential.
    Verma RP; Matthews EJ
    Regul Toxicol Pharmacol; 2015 Mar; 71(2):318-30. PubMed ID: 25497990
    [TBL] [Abstract][Full Text] [Related]  

  • 5. New approaches to the assessment of eye and skin irritation.
    Calvin G
    Toxicol Lett; 1992 Dec; 64-65 Spec No():157-64. PubMed ID: 1471169
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The HET-CAM, a Useful In Vitro Assay for Assessing the Eye Irritation Properties of Cosmetic Formulations and Ingredients.
    Steiling W; Bracher M; Courtellemont P; de Silva O
    Toxicol In Vitro; 1999 Apr; 13(2):375-84. PubMed ID: 20654494
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A study of the relationship between cornea permeability and eye irritation using membrane-interaction QSAR analysis.
    Li Y; Liu J; Pan D; Hopfinger AJ
    Toxicol Sci; 2005 Dec; 88(2):434-46. PubMed ID: 16162848
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment of the eye irritating properties of chemicals by applying alternatives to the Draize rabbit eye test: the use of QSARs and in vitro tests for the classification of eye irritation.
    Gerner I; Liebsch M; Spielmann H
    Altern Lab Anim; 2005 Jun; 33(3):215-37. PubMed ID: 16180977
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The ECVAM international validation study on in vitro tests for acute skin irritation: selection of test chemicals.
    Eskes C; Cole T; Hoffmann S; Worth A; Cockshott A; Gerner I; Zuang V
    Altern Lab Anim; 2007 Dec; 35(6):603-19. PubMed ID: 18186668
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cosmetics Europe compilation of historical serious eye damage/eye irritation in vivo data analysed by drivers of classification to support the selection of chemicals for development and evaluation of alternative methods/strategies: the Draize eye test Reference Database (DRD).
    Barroso J; Pfannenbecker U; Adriaens E; Alépée N; Cluzel M; De Smedt A; Hibatallah J; Klaric M; Mewes KR; Millet M; Templier M; McNamee P
    Arch Toxicol; 2017 Feb; 91(2):521-547. PubMed ID: 26997338
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development of the short time exposure (STE) test: an in vitro eye irritation test using SIRC cells.
    Takahashi Y; Koike M; Honda H; Ito Y; Sakaguchi H; Suzuki H; Nishiyama N
    Toxicol In Vitro; 2008 Apr; 22(3):760-70. PubMed ID: 18248950
    [TBL] [Abstract][Full Text] [Related]  

  • 12. QSARS for the eye irritation potential of neutral organic chemicals.
    Barratt MD
    Toxicol In Vitro; 1997; 11(1-2):1-8. PubMed ID: 20654291
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A three-tier QSAR modeling strategy for estimating eye irritation potential of diverse chemicals in rabbit for regulatory purposes.
    Basant N; Gupta S; Singh KP
    Regul Toxicol Pharmacol; 2016 Jun; 77():282-91. PubMed ID: 27018829
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of skin irritation from organic chemicals using membrane-interaction QSAR analysis.
    Kodithala K; Hopfinger AJ; Thompson ED; Robinson MK
    Toxicol Sci; 2002 Apr; 66(2):336-46. PubMed ID: 11896301
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An alternative test battery in detecting ocular irritancy of agrochemicals.
    Tavaszi J; Budai P; Pálovics A; Kismányoki A
    Commun Agric Appl Biol Sci; 2008; 73(4):891-5. PubMed ID: 19226840
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A QSAR model for the eye irritation of cationic surfactants.
    Patlewicz GY; Rodford RA; Ellis G; Barratt MD
    Toxicol In Vitro; 2000 Feb; 14(1):79-84. PubMed ID: 10699364
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A critical review of the assessment of eye irritation potential using the Draize rabbit eye test.
    York M; Steiling W
    J Appl Toxicol; 1998; 18(4):233-40. PubMed ID: 9719422
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CON4EI: Evaluation of QSAR models for hazard identification and labelling of eye irritating chemicals.
    Geerts L; Adriaens E; Alépée N; Guest R; Willoughby JA; Kandarova H; Drzewiecka A; Fochtman P; Verstraelen S; Van Rompay AR
    Toxicol In Vitro; 2018 Jun; 49():90-98. PubMed ID: 28941583
    [TBL] [Abstract][Full Text] [Related]  

  • 19. In-house validation of the EpiOcular(TM) eye irritation test and its combination with the bovine corneal opacity and permeability test for the assessment of ocular irritation.
    Kolle SN; Kandárová H; Wareing B; van Ravenzwaay B; Landsiedel R
    Altern Lab Anim; 2011 Sep; 39(4):365-87. PubMed ID: 21942548
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Membrane-interaction QSAR analysis: application to the estimation of eye irritation by organic compounds.
    Kulkarni AS; Hopfinger AJ
    Pharm Res; 1999 Aug; 16(8):1245-53. PubMed ID: 10468027
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.