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PUBMED FOR HANDHELDS

Journal Abstract Search


263 related items for PubMed ID: 28319747

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  • 2. Development, validation and integration of in silico models to identify androgen active chemicals.
    Manganelli S, Roncaglioni A, Mansouri K, Judson RS, Benfenati E, Manganaro A, Ruiz P.
    Chemosphere; 2019 Apr; 220():204-215. PubMed ID: 30584954
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  • 4. CERAPP: Collaborative Estrogen Receptor Activity Prediction Project.
    Mansouri K, Abdelaziz A, Rybacka A, Roncaglioni A, Tropsha A, Varnek A, Zakharov A, Worth A, Richard AM, Grulke CM, Trisciuzzi D, Fourches D, Horvath D, Benfenati E, Muratov E, Wedebye EB, Grisoni F, Mangiatordi GF, Incisivo GM, Hong H, Ng HW, Tetko IV, Balabin I, Kancherla J, Shen J, Burton J, Nicklaus M, Cassotti M, Nikolov NG, Nicolotti O, Andersson PL, Zang Q, Politi R, Beger RD, Todeschini R, Huang R, Farag S, Rosenberg SA, Slavov S, Hu X, Judson RS.
    Environ Health Perspect; 2016 Jul; 124(7):1023-33. PubMed ID: 26908244
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  • 7. In Silico Molecular Docking and In Vivo Validation with Caenorhabditis elegans to Discover Molecular Initiating Events in Adverse Outcome Pathway Framework: Case Study on Endocrine-Disrupting Chemicals with Estrogen and Androgen Receptors.
    Jeong J, Kim H, Choi J.
    Int J Mol Sci; 2019 Mar 10; 20(5):. PubMed ID: 30857347
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  • 9. Predicting Potential Endocrine Disrupting Chemicals Binding to Estrogen Receptor α (ERα) Using a Pipeline Combining Structure-Based and Ligand-Based in Silico Methods.
    Sellami A, Montes M, Lagarde N.
    Int J Mol Sci; 2021 Mar 11; 22(6):. PubMed ID: 33799614
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  • 11. Computational evaluation of endocrine activity of biocidal active substances.
    Stanojević M, Vračko Grobelšek M, Sollner Dolenc M.
    Chemosphere; 2021 Mar 11; 267():129284. PubMed ID: 33338726
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  • 13. Identifying potential endocrine disruptors among industrial chemicals and their metabolites--development and evaluation of in silico tools.
    Rybacka A, Rudén C, Tetko IV, Andersson PL.
    Chemosphere; 2015 Nov 11; 139():372-8. PubMed ID: 26210185
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  • 14. Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model.
    Browne P, Judson RS, Casey WM, Kleinstreuer NC, Thomas RS.
    Environ Sci Technol; 2015 Jul 21; 49(14):8804-14. PubMed ID: 26066997
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  • 16. Chemistry domain of applicability evaluation against existing estrogen receptor high-throughput assay-based activity models.
    Nelms MD, Antonijevic T, Ring C, Harris DL, Bever RJ, Lynn SG, Williams D, Chappell G, Boyles R, Borghoff S, Edwards SW, Markey K.
    Front Toxicol; 2024 Jul 21; 6():1346767. PubMed ID: 38694816
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  • 20. Development of QSAR models for predicting the binding affinity of endocrine disrupting chemicals to eight fish estrogen receptor.
    He J, Peng T, Yang X, Liu H.
    Ecotoxicol Environ Saf; 2018 Feb 21; 148():211-219. PubMed ID: 29055205
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