Supporting read-across using biological data

Altex

Volumn 33, Issue 2, 2016, Pages 167-182

  Zhu, Hao ^a   Bouhifd, Mounir ^b   Donley, Elizabeth ^c   Egnash, Laura ^c   Kleinstreuer, Nicole ^d   Kroese, E Dinant ^e   Liu, Zhichao ^f   Luechtefeld, Thomas ^b   Palmer, Jessica ^c   Pamies, David ^b   Shen, Jie ^g   Strauss, Volker ^h   Wu, Shengde ⁱ   Hartung, Thomas ^b,j  

^a RUTGERS UNIVERSITY   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c Stemina Biomarker Discovery Inc   (United States)

^d NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

^e TNO   (Netherlands)

^f CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

^g RESEARCH INSTITUTE FOR FRAGRANCE MATERIALS   (United States)

^h BASF SE   (Germany)

ⁱ PROCTER AND GAMBLE COMPANY   (United States)

^j UNIVERSITY OF KONSTANZ   (Germany)

more..

Author keywords

Big data; Biological similarity; Read across; Safety assessment

Indexed keywords

CHEMICAL COMPOUND; DANGEROUS GOODS;

ACUTE TOXICITY; ARTICLE; BIOASSAY; CHEMICAL STRUCTURE; DEVELOPMENTAL TOXICITY; GENOTOXICITY ASSAY; INFORMATION PROCESSING; TOXICOLOGY; ANIMAL; ANIMAL TESTING ALTERNATIVE; CHEMICAL SAFETY; CHEMISTRY; DANGEROUS GOODS; DATA MINING; FACTUAL DATABASE; HIGH THROUGHPUT SCREENING; PROCEDURES; RAT; STRUCTURE ACTIVITY RELATION; TOXICITY;

ANIMAL TESTING ALTERNATIVES; ANIMALS; BIOLOGICAL ASSAY; CHEMICAL SAFETY; DATA MINING; DATABASES, FACTUAL; HAZARDOUS SUBSTANCES; HIGH-THROUGHPUT SCREENING ASSAYS; MOLECULAR STRUCTURE; RATS; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84962920734     PISSN: 1868596X     EISSN: 18688551     Source Type: Journal    
DOI: 10.14573/altex.1601252     Document Type: Article

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