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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

125 related items for PubMed ID: 27561732

  • 1. Predicting anti-androgenic activity of bisphenols using molecular docking and quantitative structure-activity relationships.
    Yang X, Liu H, Yang Q, Liu J, Chen J, Shi L.
    Chemosphere; 2016 Nov; 163():373-381. PubMed ID: 27561732
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  • 2. In silico binding of 4,4'-bisphenols predicts in vitro estrogenic and antiandrogenic activity.
    Conroy-Ben O, Garcia I, Teske SS.
    Environ Toxicol; 2018 May; 33(5):569-578. PubMed ID: 29392883
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  • 6. Molecular insight into the differential anti-androgenic activity of resveratrol and its natural analogs: in silico approach to understand biological actions.
    Chakraborty S, Kumar A, Butt NA, Zhang L, Williams R, Rimando AM, Biswas PK, Levenson AS.
    Mol Biosyst; 2016 May; 12(5):1702-9. PubMed ID: 27063447
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  • 8. Identification of androgen receptor antagonists: In vitro investigation and classification methodology for flavonoid.
    Wu Y, Doering JA, Ma Z, Tang S, Liu H, Zhang X, Wang X, Yu H.
    Chemosphere; 2016 Sep; 158():72-9. PubMed ID: 27258897
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  • 10. Molecular docking and 3D-QSAR studies on the glucocorticoid receptor antagonistic activity of hydroxylated polychlorinated biphenyls.
    Liu S, Luo Y, Fu J, Zhou J, Kyzas GZ.
    SAR QSAR Environ Res; 2016 Sep; 27(2):87-99. PubMed ID: 26848875
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  • 11. Structural basis for androgen receptor agonists and antagonists: interaction of SPEED 98-listed chemicals and related compounds with the androgen receptor based on an in vitro reporter gene assay and 3D-QSAR.
    Tamura H, Ishimoto Y, Fujikawa T, Aoyama H, Yoshikawa H, Akamatsu M.
    Bioorg Med Chem; 2006 Nov 01; 14(21):7160-74. PubMed ID: 16876421
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  • 15. In vitro study on the agonistic and antagonistic activities of bisphenol-S and other bisphenol-A congeners and derivatives via nuclear receptors.
    Molina-Molina JM, Amaya E, Grimaldi M, Sáenz JM, Real M, Fernández MF, Balaguer P, Olea N.
    Toxicol Appl Pharmacol; 2013 Oct 01; 272(1):127-36. PubMed ID: 23714657
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  • 16. Structure-based and multiple potential three-dimensional quantitative structure-activity relationship (SB-MP-3D-QSAR) for inhibitor design.
    Du QS, Gao J, Wei YT, Du LQ, Wang SQ, Huang RB.
    J Chem Inf Model; 2012 Apr 23; 52(4):996-1004. PubMed ID: 22480344
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  • 17. Human ketosteroid receptors interact with hazardous phthalate plasticizers and their metabolites: an in silico study.
    Sarath Josh MK, Pradeep S, Vijayalekshmy Amma KS, Sudha Devi R, Balachandran S, Sreejith MN, Benjamin S.
    J Appl Toxicol; 2016 Jun 23; 36(6):836-43. PubMed ID: 26304264
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  • 18. Molecular modelling methods in food safety: Bisphenols as case study.
    Cavaliere F, Lorenzetti S, Cozzini P.
    Food Chem Toxicol; 2020 Mar 23; 137():111116. PubMed ID: 31931072
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  • 19. Application of GA-MLR for QSAR Modeling of the Arylthioindole Class of Tubulin Polymerization Inhibitors as Anticancer Agents.
    Ahmadi S, Habibpour E.
    Anticancer Agents Med Chem; 2017 Mar 23; 17(4):552-565. PubMed ID: 27528182
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  • 20. Screening of bisphenol A, triclosan and paraben analogues as modulators of the glucocorticoid and androgen receptor activities.
    Kolšek K, Gobec M, Mlinarič Raščan I, Sollner Dolenc M.
    Toxicol In Vitro; 2015 Feb 23; 29(1):8-15. PubMed ID: 25192815
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