A semi-automated workflow for adverse outcome pathway hypothesis generation: The use case of non-genotoxic induced hepatocellular carcinoma-Reference-Cited by-同舟云学术

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A semi-automated workflow for adverse outcome pathway hypothesis generation: The use case of non-genotoxic induced hepatocellular carcinoma

Published:2020-07 Issue: Volume:114 Page:104652
ISSN:0273-2300
Container-title:Regulatory Toxicology and Pharmacology
language:en
Short-container-title:Regulatory Toxicology and Pharmacology

Author:

Doktorova Tatyana Y.,Oki Noffisat O.,Mohorič Tomaž,Exner Thomas E.,Hardy Barry

Funder

Marie Curie

Horizon 2020 Marie Skłodowska-Curie actions

Publisher

Elsevier BV

Subject

Toxicology,General Medicine

Reference134 articles.

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2. UniProt: the universal protein knowledgebase;Anon;Nucleic Acids Res.,2016

3. TFE3 Xp11.2 translocation renal cell carcinoma mouse model reveals novel therapeutic targets and identifies GPNMB as a diagnostic marker for human disease;Baba;Mol. Canc. Res.: MCR,2019

4. Estrogen receptor activation at serine 305 is sufficient to upregulate cyclin D1 in breast cancer cells;Balasenthil;FEBS (Fed. Eur. Biochem. Soc.) Lett.,2004

5. Ibuprofen in the treatment of children's inflammatory pain: a clinical and pharmacological overview;Barbagallo;Minerva Pediatr.,2019

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2. Associating diethylhexyl phthalate to gestational diabetes mellitus via adverse outcome pathways using a network-based approach;Science of The Total Environment;2022-06

3. From Causal Networks to Adverse Outcome Pathways: A Developmental Neurotoxicity Case Study;Frontiers in Toxicology;2022-03-07

4. Semi-automated approach for generation of biological networks on drug-induced cholestasis, steatosis, hepatitis, and cirrhosis;Toxicological Research;2022-03-03

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