In Silico Approach To Identify Potential Thyroid Hormone Disruptors among Currently Known Dust Contaminants and Their Metabolites

Environmental Science and Technology

Volumn 49, Issue 16, 2015, Pages 10099-10107

  Zhang, Jin ^a   Kamstra, Jorke H ^b   Ghorbanzadeh, Mehdi ^a   Weiss, Jana M ^b,c   Hamers, Timo ^b   Andersson, Patrik L ^a  

^a UMEÅ UNIVERSITY   (Sweden)

^b INSTITUTE FOR ENVIRONMENTAL STUDIES   (Netherlands)

^c STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

BALLOONS; BIOASSAY; BIOMOLECULES; CHEMICALS; COMPUTATIONAL CHEMISTRY; CONTAMINATION; DUST; HORMONES; LIGANDS; METABOLITES; MOLECULAR GRAPHICS;

3 ,5 ,6-TRICHLORO-2-PYRIDINOL; CLASSIFICATION MODELS; IN-HOUSE DATABASE; METABOLIC ACTIVATION; MOLECULAR DOCKING; PHYSIOLOGICAL DISORDERS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS; TETRAHYDROXYBENZOPHENONE;

IMPURITIES;

AROMATIC COMPOUND; DIBENZOFURAN DERIVATIVE; ENDOCRINE DISRUPTOR; ORGANIC COMPOUND; PENTACHLOROPHENOL; POLYCHLORINATED NAPHTHALENE; THYROID HORMONE; TRICLOSAN; 2,4,5 TRICHLOROPHENOXYACETIC ACID; DUST; PREALBUMIN;

BIOASSAY; DUST; ENDOCRINE DISRUPTOR; HORMONE; LIGAND; METABOLITE; NUMERICAL MODEL; ORGANIC ACID; PHYSIOLOGY; SILICON;

ARTICLE; BINDING AFFINITY; COMPUTER MODEL; HUMAN; HYDROPHOBICITY; HYDROXYLATION; METABOLIC ACTIVATION; METABOLITE; MOLECULAR DOCKING; MOLECULAR SIZE; ORGANIC DUST; PHYSICAL CHEMISTRY; POLLUTANT; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RECEPTOR BINDING ASSAY; ANALYSIS; BINDING SITE; COMPUTER SIMULATION; DATA BASE; DISCRIMINANT ANALYSIS; DUST; IC50; INDOOR AIR POLLUTION; METABOLISM; METABOLOME; PROTEIN MULTIMERIZATION; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE;

2,4,5-TRICHLOROPHENOXYACETIC ACID; AIR POLLUTION, INDOOR; BINDING SITES; COMPUTER SIMULATION; DATABASES AS TOPIC; DISCRIMINANT ANALYSIS; DUST; ENDOCRINE DISRUPTORS; HUMANS; INHIBITORY CONCENTRATION 50; LEAST-SQUARES ANALYSIS; METABOLOME; MOLECULAR DOCKING SIMULATION; PREALBUMIN; PROTEIN MULTIMERIZATION; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SUPPORT VECTOR MACHINE; THYROID HORMONES;

EID: 84939646280     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/acs.est.5b01742     Document Type: Article

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