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 *

163 related articles for article (PubMed ID: 32673477)

  • 1. Pred-Skin: A Web Portal for Accurate Prediction of Human Skin Sensitizers.
    Borba JVB; Braga RC; Alves VM; Muratov EN; Kleinstreuer N; Tropsha A; Andrade CH
    Chem Res Toxicol; 2021 Feb; 34(2):258-267. PubMed ID: 32673477
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Pred-Skin: A Fast and Reliable Web Application to Assess Skin Sensitization Effect of Chemicals.
    Braga RC; Alves VM; Muratov EN; Strickland J; Kleinstreuer N; Trospsha A; Andrade CH
    J Chem Inf Model; 2017 May; 57(5):1013-1017. PubMed ID: 28459556
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting chemically-induced skin reactions. Part I: QSAR models of skin sensitization and their application to identify potentially hazardous compounds.
    Alves VM; Muratov E; Fourches D; Strickland J; Kleinstreuer N; Andrade CH; Tropsha A
    Toxicol Appl Pharmacol; 2015 Apr; 284(2):262-72. PubMed ID: 25560674
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Test battery with the human cell line activation test, direct peptide reactivity assay and DEREK based on a 139 chemical data set for predicting skin sensitizing potential and potency of chemicals.
    Takenouchi O; Fukui S; Okamoto K; Kurotani S; Imai N; Fujishiro M; Kyotani D; Kato Y; Kasahara T; Fujita M; Toyoda A; Sekiya D; Watanabe S; Seto H; Hirota M; Ashikaga T; Miyazawa M
    J Appl Toxicol; 2015 Nov; 35(11):1318-32. PubMed ID: 25820183
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of skin sensitization potency using machine learning approaches.
    Zang Q; Paris M; Lehmann DM; Bell S; Kleinstreuer N; Allen D; Matheson J; Jacobs A; Casey W; Strickland J
    J Appl Toxicol; 2017 Jul; 37(7):792-805. PubMed ID: 28074598
    [TBL] [Abstract][Full Text] [Related]  

  • 6. In vitro testing strategy for assessing the skin sensitizing potential of "difficult to test" cosmetic ingredients.
    Bergal M; Puginier M; Gerbeix C; Groux H; Roso A; Cottrez F; Milius A
    Toxicol In Vitro; 2020 Jun; 65():104781. PubMed ID: 32001296
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multivariate models for prediction of human skin sensitization hazard.
    Strickland J; Zang Q; Paris M; Lehmann DM; Allen D; Choksi N; Matheson J; Jacobs A; Casey W; Kleinstreuer N
    J Appl Toxicol; 2017 Mar; 37(3):347-360. PubMed ID: 27480324
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A data-based exploration of the adverse outcome pathway for skin sensitization points to the necessary requirements for its prediction with alternative methods.
    Benigni R; Bossa C; Tcheremenskaia O
    Regul Toxicol Pharmacol; 2016 Jul; 78():45-52. PubMed ID: 27090483
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development of an artificial neural network model for risk assessment of skin sensitization using human cell line activation test, direct peptide reactivity assay, KeratinoSens™ and in silico structure alert parameter.
    Hirota M; Ashikaga T; Kouzuki H
    J Appl Toxicol; 2018 Apr; 38(4):514-526. PubMed ID: 29226339
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Skin Doctor CP: Conformal Prediction of the Skin Sensitization Potential of Small Organic Molecules.
    Wilm A; Norinder U; Agea MI; de Bruyn Kops C; Stork C; Kühnl J; Kirchmair J
    Chem Res Toxicol; 2021 Feb; 34(2):330-344. PubMed ID: 33295759
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Non-animal methods to predict skin sensitization (II): an assessment of defined approaches
    Kleinstreuer NC; Hoffmann S; Alépée N; Allen D; Ashikaga T; Casey W; Clouet E; Cluzel M; Desprez B; Gellatly N; Göbel C; Kern PS; Klaric M; Kühnl J; Martinozzi-Teissier S; Mewes K; Miyazawa M; Strickland J; van Vliet E; Zang Q; Petersohn D
    Crit Rev Toxicol; 2018 May; 48(5):359-374. PubMed ID: 29474122
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A quantitative in silico model for predicting skin sensitization using a nearest neighbours approach within expert-derived structure-activity alert spaces.
    Canipa SJ; Chilton ML; Hemingway R; Macmillan DS; Myden A; Plante JP; Tennant RE; Vessey JD; Steger-Hartmann T; Gould J; Hillegass J; Etter S; Smith BPC; White A; Sterchele P; De Smedt A; O'Brien D; Parakhia R
    J Appl Toxicol; 2017 Aug; 37(8):985-995. PubMed ID: 28244128
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Validation of Quantitative Structure-Activity Relationship (QSAR) and Quantitative Structure-Property Relationship (QSPR) approaches as alternatives to skin sensitization risk assessment.
    Kim JY; Kim KB; Lee BM
    J Toxicol Environ Health A; 2021 Dec; 84(23):945-959. PubMed ID: 34338166
    [TBL] [Abstract][Full Text] [Related]  

  • 14. High-throughput screening (HTS)-based spectrophotometric direct peptide reactivity assay (Spectro-DPRA) to predict human skin sensitization potential.
    Cho SA; An S; Park JH
    Toxicol Lett; 2019 Oct; 314():27-36. PubMed ID: 31295538
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Non-animal assessment of skin sensitization hazard: Is an integrated testing strategy needed, and if so what should be integrated?
    Roberts DW; Patlewicz G
    J Appl Toxicol; 2018 Jan; 38(1):41-50. PubMed ID: 28543848
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Categorical QSAR Models for skin sensitization based upon local lymph node assay classification measures part 2: 4D-fingerprint three-state and two-2-state logistic regression models.
    Li Y; Pan D; Liu J; Kern PS; Gerberick GF; Hopfinger AJ; Tseng YJ
    Toxicol Sci; 2007 Oct; 99(2):532-44. PubMed ID: 17675333
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Adjustment of a no expected sensitization induction level derived from Bayesian network integrated testing strategy for skin sensitization risk assessment.
    Otsubo Y; Nishijo T; Mizumachi H; Saito K; Miyazawa M; Sakaguchi H
    J Toxicol Sci; 2020; 45(1):57-67. PubMed ID: 31932558
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian integrated testing strategy (ITS) for skin sensitization potency assessment: a decision support system for quantitative weight of evidence and adaptive testing strategy.
    Jaworska JS; Natsch A; Ryan C; Strickland J; Ashikaga T; Miyazawa M
    Arch Toxicol; 2015 Dec; 89(12):2355-83. PubMed ID: 26612363
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Probabilistic hazard assessment for skin sensitization potency by dose-response modeling using feature elimination instead of quantitative structure-activity relationships.
    Luechtefeld T; Maertens A; McKim JM; Hartung T; Kleensang A; Sá-Rocha V
    J Appl Toxicol; 2015 Nov; 35(11):1361-1371. PubMed ID: 26046447
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Accounting for data variability, a key factor in in vivo/in vitro relationships: application to the skin sensitization potency (in vivo LLNA versus in vitro DPRA) example.
    Dimitrov S; Detroyer A; Piroird C; Gomes C; Eilstein J; Pauloin T; Kuseva C; Ivanova H; Popova I; Karakolev Y; Ringeissen S; Mekenyan O
    J Appl Toxicol; 2016 Dec; 36(12):1568-1578. PubMed ID: 27080242
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.