260 related articles for article (PubMed ID: 28319747)
1. Integration of in silico methods and computational systems biology to explore endocrine-disrupting chemical binding with nuclear hormone receptors.
Ruiz P; Sack A; Wampole M; Bobst S; Vracko M
Chemosphere; 2017 Jul; 178():99-109. PubMed ID: 28319747
[TBL] [Abstract][Full Text] [Related]
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
[TBL] [Abstract][Full Text] [Related]
3. Identification of putative estrogen receptor-mediated endocrine disrupting chemicals using QSAR- and structure-based virtual screening approaches.
Zhang L; Sedykh A; Tripathi A; Zhu H; Afantitis A; Mouchlis VD; Melagraki G; Rusyn I; Tropsha A
Toxicol Appl Pharmacol; 2013 Oct; 272(1):67-76. PubMed ID: 23707773
[TBL] [Abstract][Full Text] [Related]
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
[TBL] [Abstract][Full Text] [Related]
5. CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity.
Mansouri K; Kleinstreuer N; Abdelaziz AM; Alberga D; Alves VM; Andersson PL; Andrade CH; Bai F; Balabin I; Ballabio D; Benfenati E; Bhhatarai B; Boyer S; Chen J; Consonni V; Farag S; Fourches D; García-Sosa AT; Gramatica P; Grisoni F; Grulke CM; Hong H; Horvath D; Hu X; Huang R; Jeliazkova N; Li J; Li X; Liu H; Manganelli S; Mangiatordi GF; Maran U; Marcou G; Martin T; Muratov E; Nguyen DT; Nicolotti O; Nikolov NG; Norinder U; Papa E; Petitjean M; Piir G; Pogodin P; Poroikov V; Qiao X; Richard AM; Roncaglioni A; Ruiz P; Rupakheti C; Sakkiah S; Sangion A; Schramm KW; Selvaraj C; Shah I; Sild S; Sun L; Taboureau O; Tang Y; Tetko IV; Todeschini R; Tong W; Trisciuzzi D; Tropsha A; Van Den Driessche G; Varnek A; Wang Z; Wedebye EB; Williams AJ; Xie H; Zakharov AV; Zheng Z; Judson RS
Environ Health Perspect; 2020 Feb; 128(2):27002. PubMed ID: 32074470
[TBL] [Abstract][Full Text] [Related]
6. Key learnings from performance of the U.S. EPA Endocrine Disruptor Screening Program (EDSP) Tier 1 in vitro assays.
LeBaron MJ; Coady KK; O'Connor JC; Nabb DL; Markell LK; Snajdr S; Sue Marty M
Birth Defects Res B Dev Reprod Toxicol; 2014 Feb; 101(1):23-42. PubMed ID: 24515815
[TBL] [Abstract][Full Text] [Related]
7. In Silico Molecular Docking and In Vivo Validation with
Jeong J; Kim H; Choi J
Int J Mol Sci; 2019 Mar; 20(5):. PubMed ID: 30857347
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of OASIS QSAR Models Using ToxCast™ in Vitro Estrogen and Androgen Receptor Binding Data and Application in an Integrated Endocrine Screening Approach.
Bhhatarai B; Wilson DM; Price PS; Marty S; Parks AK; Carney E
Environ Health Perspect; 2016 Sep; 124(9):1453-61. PubMed ID: 27152837
[TBL] [Abstract][Full Text] [Related]
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; 22(6):. PubMed ID: 33799614
[TBL] [Abstract][Full Text] [Related]
10. Computational models to predict endocrine-disrupting chemical binding with androgen or oestrogen receptors.
Chen Y; Cheng F; Sun L; Li W; Liu G; Tang Y
Ecotoxicol Environ Saf; 2014 Dec; 110():280-7. PubMed ID: 25282305
[TBL] [Abstract][Full Text] [Related]
11. Computational evaluation of endocrine activity of biocidal active substances.
Stanojević M; Vračko Grobelšek M; Sollner Dolenc M
Chemosphere; 2021 Mar; 267():129284. PubMed ID: 33338726
[TBL] [Abstract][Full Text] [Related]
12. Human sex hormone-binding globulin binding affinities of 125 structurally diverse chemicals and comparison with their binding to androgen receptor, estrogen receptor, and α-fetoprotein.
Hong H; Branham WS; Ng HW; Moland CL; Dial SL; Fang H; Perkins R; Sheehan D; Tong W
Toxicol Sci; 2015 Feb; 143(2):333-48. PubMed ID: 25349334
[TBL] [Abstract][Full Text] [Related]
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; 139():372-8. PubMed ID: 26210185
[TBL] [Abstract][Full Text] [Related]
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; 49(14):8804-14. PubMed ID: 26066997
[TBL] [Abstract][Full Text] [Related]
15. Prediction of the Endocrine disruption profile of fluorinated biphenyls and analogues: An in silico study.
Zhong Y; Ren J; Li R; Xuan Y; Yao W; Yang Q; Gan Y; Yu S; Yuan J
Chemosphere; 2023 Feb; 314():137701. PubMed ID: 36587920
[TBL] [Abstract][Full Text] [Related]
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; 6():1346767. PubMed ID: 38694816
[TBL] [Abstract][Full Text] [Related]
17. The importance of molecular structures, endpoints' values, and predictivity parameters in QSAR research: QSAR analysis of a series of estrogen receptor binders.
Li J; Gramatica P
Mol Divers; 2010 Nov; 14(4):687-96. PubMed ID: 19921452
[TBL] [Abstract][Full Text] [Related]
18. Chlorpyrifos: weight of evidence evaluation of potential interaction with the estrogen, androgen, or thyroid pathways.
Juberg DR; Gehen SC; Coady KK; LeBaron MJ; Kramer VJ; Lu H; Marty MS
Regul Toxicol Pharmacol; 2013 Aug; 66(3):249-63. PubMed ID: 23524272
[TBL] [Abstract][Full Text] [Related]
19. Quick and efficient quantitative predictions of androgen receptor binding affinity for screening Endocrine Disruptor Chemicals using 2D-QSAR and Chemical Read-Across.
Banerjee A; De P; Kumar V; Kar S; Roy K
Chemosphere; 2022 Dec; 309(Pt 1):136579. PubMed ID: 36174732
[TBL] [Abstract][Full Text] [Related]
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; 148():211-219. PubMed ID: 29055205
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]