Predicting chemicals’ toxicity pathway of female reproductive disorders using AOP7 and deep neural networks-Reference-Cited by-同舟云学术

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Predicting chemicals’ toxicity pathway of female reproductive disorders using AOP7 and deep neural networks

Published:2023-10 Issue: Volume:180 Page:114013
ISSN:0278-6915
Container-title:Food and Chemical Toxicology
language:en
Short-container-title:Food and Chemical Toxicology

Author:

Sukur Nataša^ORCID,Milošević Nemanja^ORCID,Pogrmic-Majkic Kristina^ORCID,Stanic Bojana^ORCID,Andric Nebojsa

Funder

Provincial Secretariat for Higher Education and Scientific Research, Autonomous Province of Vojvodina

Autonomous Province of Vojvodina Provincial Secretariat for Higher Education and Scientific Research Activities

Publisher

Elsevier BV

Subject

Toxicology,General Medicine,Food Science

Reference30 articles.

1. Female fertility and environmental pollution;Canipari;Int. J. Environ. Res. Publ. Health,2020

2. Harvesting the promise of AOPs: an assessment and recommendations;Carusi;Sci. Total Environ.,2018

3. Direct rosiglitazone action on steroidogenesis and proinflammatory factor production in human granulosa-lutein cells;Chen;Reprod. Biol. Endocrinol.,2009

4. Mono-(2-ethylhexyl) phthalate suppresses estradiol production independent of fsh-camp stimulation in rat granulosa cells;Davis;Toxicol. Appl. Pharmacol.,1994

5. Di-(2-ethylhexyl) phthalate suppresses estradiol and ovulation in cycling rats;Davis;Toxicol. Appl. Pharmacol.,1994

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