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Journal Abstract Search


164 related items for PubMed ID: 29306204

  • 1. A comparative study on the binary and ternary mixture toxicity of antibiotics towards three bacteria based on QSAR investigation.
    Wang D, Wu X, Lin Z, Ding Y.
    Environ Res; 2018 Apr; 162():127-134. PubMed ID: 29306204
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  • 2. Novel approach for predicting the joint effects based on the enzyme-catalyzed kinetics.
    Zheng M, Yao Z, Lin Z, Fang S, Song C, Liu Y.
    J Hazard Mater; 2016 Apr 15; 307():359-67. PubMed ID: 26826939
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  • 3. Similarities and differences in combined toxicity of sulfonamides and other antibiotics towards bacteria for environmental risk assessment.
    Fang S, Wang D, Zhang X, Long X, Qin M, Lin Z, Liu Y.
    Environ Monit Assess; 2016 Jul 15; 188(7):429. PubMed ID: 27334345
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  • 4. Prediction of mixture toxicity from the hormesis of a single chemical: A case study of combinations of antibiotics and quorum-sensing inhibitors with gram-negative bacteria.
    Wang T, Wang D, Lin Z, An Q, Yin C, Huang Q.
    Chemosphere; 2016 May 15; 150():159-167. PubMed ID: 26901472
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  • 13. Can the joint effect of ternary mixtures be predicted from binary mixture toxicity results?
    Cedergreen N, Sørensen H, Svendsen C.
    Sci Total Environ; 2012 Jun 15; 427-428():229-37. PubMed ID: 22542295
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  • 14. A docking-based receptor library of antibiotics and its novel application in predicting chronic mixture toxicity for environmental risk assessment.
    Zou X, Zhou X, Lin Z, Deng Z, Yin D.
    Environ Monit Assess; 2013 Jun 15; 185(6):4513-27. PubMed ID: 23143826
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  • 16. Time-dependent hormesis of chemical mixtures: A case study on sulfa antibiotics and a quorum-sensing inhibitor of Vibrio fischeri.
    You R, Sun H, Yu Y, Lin Z, Qin M, Liu Y.
    Environ Toxicol Pharmacol; 2016 Jan 15; 41():45-53. PubMed ID: 26645135
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  • 17. The joint toxicity effect of five antibiotics and dibutyl phthalate to luminescent bacteria (Vibrio fischeri).
    Wei S, Wang F, Chen Y, Lan T, Zhang S.
    Environ Sci Pollut Res Int; 2018 Sep 15; 25(26):26504-26511. PubMed ID: 29987471
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