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 *

150 related articles for article (PubMed ID: 37211130)

  • 1. Predicting the ecotoxicity of endocrine disruptive chemicals: Multitasking in silico approaches towards global models.
    Halder AK; Moura AS; Cordeiro MNDS
    Sci Total Environ; 2023 Sep; 889():164337. PubMed ID: 37211130
    [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. In Silico Predictions of Endocrine Disruptors Properties.
    Schneider M; Pons JL; Labesse G; Bourguet W
    Endocrinology; 2019 Nov; 160(11):2709-2716. PubMed ID: 31265055
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting aquatic toxicities of chemical pesticides in multiple test species using nonlinear QSTR modeling approaches.
    Basant N; Gupta S; Singh KP
    Chemosphere; 2015 Nov; 139():246-55. PubMed ID: 26142614
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DEDuCT 2.0: An updated knowledgebase and an exploration of the current regulations and guidelines from the perspective of endocrine disrupting chemicals.
    Karthikeyan BS; Ravichandran J; Aparna SR; Samal A
    Chemosphere; 2021 Mar; 267():128898. PubMed ID: 33190914
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A curated knowledgebase on endocrine disrupting chemicals and their biological systems-level perturbations.
    Karthikeyan BS; Ravichandran J; Mohanraj K; Vivek-Ananth RP; Samal A
    Sci Total Environ; 2019 Nov; 692():281-296. PubMed ID: 31349169
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Innovation in regulatory approaches for endocrine disrupting chemicals: The journey to risk assessment modernization in Canada.
    Barton-Maclaren TS; Wade M; Basu N; Bayen S; Grundy J; Marlatt V; Moore R; Parent L; Parrott J; Grigorova P; Pinsonnault-Cooper J; Langlois VS
    Environ Res; 2022 Mar; 204(Pt C):112225. PubMed ID: 34666016
    [TBL] [Abstract][Full Text] [Related]  

  • 9. First report on ecotoxicological QSTR and i-QSTR modeling for the prediction of acute ecotoxicity of diverse organic chemicals against three protozoan species.
    Kumar A; Kumar V; Podder T; Ojha PK
    Chemosphere; 2023 Sep; 335():139066. PubMed ID: 37257655
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Endocrine disrupting chemicals and breast cancer: a systematic review of epidemiological studies.
    Wan MLY; Co VA; El-Nezami H
    Crit Rev Food Sci Nutr; 2022; 62(24):6549-6576. PubMed ID: 33819127
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A big data approach with artificial neural network and molecular similarity for chemical data mining and endocrine disruption prediction.
    Paulose R; Jegatheesan K; Balakrishnan GS
    Indian J Pharmacol; 2018; 50(4):169-176. PubMed ID: 30505052
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Environmental Endocrine-Disrupting Chemical Exposure: Role in Non-Communicable Diseases.
    Kumar M; Sarma DK; Shubham S; Kumawat M; Verma V; Prakash A; Tiwari R
    Front Public Health; 2020; 8():553850. PubMed ID: 33072697
    [TBL] [Abstract][Full Text] [Related]  

  • 13. In silico assessment of the acute toxicity of chemicals: recent advances and new model for multitasking prediction of toxic effect.
    Kleandrova VV; Luan F; Speck-Planche A; Cordeiro MN
    Mini Rev Med Chem; 2015; 15(8):677-86. PubMed ID: 25694074
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Ecotoxicological QSAR modeling of endocrine disruptor chemicals.
    Khan K; Roy K; Benfenati E
    J Hazard Mater; 2019 May; 369():707-718. PubMed ID: 30831523
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Experimental Approaches for Characterizing the Endocrine-Disrupting Effects of Environmental Chemicals in Fish.
    Celino-Brady FT; Lerner DT; Seale AP
    Front Endocrinol (Lausanne); 2020; 11():619361. PubMed ID: 33716955
    [TBL] [Abstract][Full Text] [Related]  

  • 16. QSAR classification of estrogen receptor binders and pre-screening of potential pleiotropic EDCs.
    Li J; Gramatica P
    SAR QSAR Environ Res; 2010 Oct; 21(7-8):657-69. PubMed ID: 21120754
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Endocrine-disrupting chemicals and endocrine neoplasia: A forty-year systematic review.
    Macedo S; Teixeira E; Gaspar TB; Boaventura P; Soares MA; Miranda-Alves L; Soares P
    Environ Res; 2023 Feb; 218():114869. PubMed ID: 36460069
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computational prediction models for assessing endocrine disrupting potential of chemicals.
    Sakkiah S; Guo W; Pan B; Kusko R; Tong W; Hong H
    J Environ Sci Health C Environ Carcinog Ecotoxicol Rev; 2018; 36(4):192-218. PubMed ID: 30633647
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computational tool for risk assessment of nanomaterials: novel QSTR-perturbation model for simultaneous prediction of ecotoxicity and cytotoxicity of uncoated and coated nanoparticles under multiple experimental conditions.
    Kleandrova VV; Luan F; González-Díaz H; Ruso JM; Speck-Planche A; Cordeiro MN
    Environ Sci Technol; 2014 Dec; 48(24):14686-94. PubMed ID: 25384130
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prioritization of the ecotoxicological hazard of PAHs towards aquatic species spanning three trophic levels using 2D-QSTR, read-across and machine learning-driven modelling approaches.
    Li F; Wang P; Fan T; Zhang N; Zhao L; Zhong R; Sun G
    J Hazard Mater; 2024 Mar; 465():133410. PubMed ID: 38185092
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.