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Volumn 33, Issue 3, 2017, Pages 464-466

CIIPro: A new read-Across portal to fill data gaps using public large-scale chemical and biological data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL EXPERIMENT; ARTICLE; CHEMINFORMATICS; IN VITRO STUDY; IN VIVO STUDY; NONHUMAN; PROTEIN FINGERPRINTING; RISK ASSESSMENT; TOXICITY TESTING; ANIMAL; BIOLOGY; PROCEDURES; SOFTWARE; TOXICOLOGY;

EID: 85025107705     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btw640     Document Type: Article
Times cited : (26)

References (11)
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  • 2
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    • Kim, M.T.1
  • 3
    • 84964810430 scopus 로고    scopus 로고
    • Mechanism profiling of hepatotoxicity caused by oxidative stress using the antioxidant response element reporter gene assay models and big data
    • Kim, M.T. et al. (2016) Mechanism profiling of hepatotoxicity caused by oxidative stress using the antioxidant response element reporter gene assay models and big data. Environ. Health Perspect., 124, 634-641.
    • (2016) Environ. Health Perspect , vol.124 , pp. 634-641
    • Kim, M.T.1
  • 4
    • 84882644463 scopus 로고    scopus 로고
    • Integrative chemical-biological read-Across approach for chemical hazard classification
    • Low, Y. et al. (2013) Integrative chemical-biological read-Across approach for chemical hazard classification. Chem. Res. Toxicol., 26, 1199-1208.
    • (2013) Chem. Res. Toxicol , vol.26 , pp. 1199-1208
    • Low, Y.1
  • 5
    • 85062093670 scopus 로고    scopus 로고
    • Predictive modeling of estrogen receptor binding agents using advanced cheminformatics tools and massive public data
    • Ribay, K. et al. (2016) Predictive modeling of estrogen receptor binding agents using advanced cheminformatics tools and massive public data. Front. Environ. Sci., 4, 12.
    • (2016) Front. Environ. Sci , vol.4 , pp. 12
    • Ribay, K.1
  • 6
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    • Read-Across approaches-misconceptions, promises and challenges ahead
    • Patlewicz, G. et al. (2014) Read-Across approaches-misconceptions, promises and challenges ahead. Altex, 31, 387-396.
    • (2014) Altex , vol.31 , pp. 387-396
    • Patlewicz, G.1
  • 7
    • 84938739311 scopus 로고    scopus 로고
    • Developing enhanced blood-brain barrier permeability models: integrating external bio-Assay data in QSAR modeling
    • Wang, W. et al. (2015) Developing enhanced blood-brain barrier permeability models: integrating external bio-Assay data in QSAR modeling. Pharm. Res., 32, 3055-3065.
    • (2015) Pharm. Res , vol.32 , pp. 3055-3065
    • Wang, W.1
  • 8
    • 84903291814 scopus 로고    scopus 로고
    • Profiling animal toxicants by automatically mining public bioassay data: A big data approach for computational toxicology
    • Zhang, J. et al. (2014) Profiling animal toxicants by automatically mining public bioassay data: A big data approach for computational toxicology. PLoS ONE, 9, e99863.
    • (2014) PLoS ONE , vol.9 , pp. e99863
    • Zhang, J.1
  • 9
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    • A novel two-step hierarchical quantitative structureactivity relationship modeling work flow for predicting acute toxicity of chemicals in rodents
    • Zhu, H. et al. (2009) A novel two-step hierarchical quantitative structureactivity relationship modeling work flow for predicting acute toxicity of chemicals in rodents. Environ. Health Perspect., 117, 1257-1264.
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  • 10
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    • Big data in chemical toxicity research: The use of highthroughput screening assays to identify potential toxicants
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  • 11
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.