Literature DB >> 24628082

Endocrine disruptome--an open source prediction tool for assessing endocrine disruption potential through nuclear receptor binding.

Katra Kolšek1, Janez Mavri, Marija Sollner Dolenc, Stanislav Gobec, Samo Turk.   

Abstract

Predicting the endocrine disruption potential of compounds is a daunting but essential task. Here we report a new tool for this purpose that we have termed Endocrine Disruptome. It is a free and simple-to-use Web service that runs on an open source platform called Docking interface for Target Systems (DoTS). The molecular docking is handled via AutoDock Vina. Compounds are docked to 18 integrated and well-validated crystal structures of 14 different human nuclear receptors: androgen receptor; estrogen receptors α and β; glucocorticoid receptor; liver X receptors α and β; mineralocorticoid receptor; peroxisome proliferator activated receptors α, β/δ, and γ; progesterone receptor; retinoid X receptor α; and thyroid receptors α and β. Endocrine Disruptome is free of charge and available at http://endocrinedisruptome.ki.si.

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Year:  2014        PMID: 24628082     DOI: 10.1021/ci400649p

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  21 in total

1.  Computational Assessment of Pharmacokinetics and Biological Effects of Some Anabolic and Androgen Steroids.

Authors:  Marin Roman; Diana Larisa Roman; Vasile Ostafe; Alecu Ciorsac; Adriana Isvoran
Journal:  Pharm Res       Date:  2018-02-05       Impact factor: 4.200

2.  Integration of in silico methods and computational systems biology to explore endocrine-disrupting chemical binding with nuclear hormone receptors.

Authors:  P Ruiz; A Sack; M Wampole; S Bobst; M Vracko
Journal:  Chemosphere       Date:  2017-03-09       Impact factor: 7.086

3.  Biotransformation of testosterone by the filamentous fungus Penicillium pinophilum.

Authors:  Maryam Mehmannavaz; Bahman Nickavar
Journal:  Arch Microbiol       Date:  2022-08-22       Impact factor: 2.667

4.  Discriminating agonist and antagonist ligands of the nuclear receptors using 3D-pharmacophores.

Authors:  Nathalie Lagarde; Solenne Delahaye; Jean-François Zagury; Matthieu Montes
Journal:  J Cheminform       Date:  2016-09-06       Impact factor: 5.514

5.  Evaluation of OASIS QSAR Models Using ToxCast™ in Vitro Estrogen and Androgen Receptor Binding Data and Application in an Integrated Endocrine Screening Approach.

Authors:  Barun Bhhatarai; Daniel M Wilson; Paul S Price; Sue Marty; Amanda K Parks; Edward Carney
Journal:  Environ Health Perspect       Date:  2016-05-06       Impact factor: 9.031

6.  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.

Authors:  Jaeseong Jeong; Hunbeen Kim; Jinhee Choi
Journal:  Int J Mol Sci       Date:  2019-03-10       Impact factor: 5.923

7.  In Silico Predictions of Endocrine Disruptors Properties.

Authors:  Melanie Schneider; Jean-Luc Pons; Gilles Labesse; William Bourguet
Journal:  Endocrinology       Date:  2019-11-01       Impact factor: 4.736

8.  Identifying and Prioritizing Chemicals with Uncertain Burden of Exposure: Opportunities for Biomonitoring and Health-Related Research.

Authors:  Edo D Pellizzari; Tracey J Woodruff; Rebecca R Boyles; Kurunthachalam Kannan; Paloma I Beamer; Jessie P Buckley; Aolin Wang; Yeyi Zhu; Deborah H Bennett
Journal:  Environ Health Perspect       Date:  2019-12-18       Impact factor: 11.035

9.  Triclocarban, Triclosan, Bromochlorophene, Chlorophene, and Climbazole Effects on Nuclear Receptors: An in Silico and in Vitro Study.

Authors:  Maša Kenda; Nataša Karas Kuželički; Mitsuru Iida; Hiroyuki Kojima; Marija Sollner Dolenc
Journal:  Environ Health Perspect       Date:  2020-10-16       Impact factor: 9.031

10.  Computational Study of Drugs Targeting Nuclear Receptors.

Authors:  Maša Kenda; Marija Sollner Dolenc
Journal:  Molecules       Date:  2020-04-01       Impact factor: 4.411

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