These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 9057301)

  • 1. Comparison of the QSAR models for toxicity and biodegradability of anilines and phenols.
    Damborsky J; Schultz TW
    Chemosphere; 1997 Feb; 34(2):429-46. PubMed ID: 9057301
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Toxicity of 58 substituted anilines and phenols to algae Pseudokirchneriella subcapitata and bacteria Vibrio fischeri: comparison with published data and QSARs.
    Aruoja V; Sihtmäe M; Dubourguier HC; Kahru A
    Chemosphere; 2011 Sep; 84(10):1310-20. PubMed ID: 21664645
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparative QSAR: radical toxicity and scavenging. Two different sides of the same coin.
    Hansch C; Zhang L
    SAR QSAR Environ Res; 1995; 4(2-3):73-82. PubMed ID: 8765903
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Biopartitioning micellar chromatography: an alternative high-throughput method for assessing the ecotoxicity of anilines and phenols.
    Bermúdez-Saldaña JM; Escuder-Gilabert L; Medina-Hernández MJ; Villanueva-Camañas RM; Sagrado S
    J Chromatogr B Analyt Technol Biomed Life Sci; 2007 Jun; 852(1-2):353-61. PubMed ID: 17347057
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantitative structure-activity relationships for predicting the joint toxicity of substituted anilines and phenols to algae.
    Lu GH; Wang C; Tang ZY; Guo XL
    Bull Environ Contam Toxicol; 2007 Feb; 78(2):107-11. PubMed ID: 17415500
    [No Abstract]   [Full Text] [Related]  

  • 6. Quantitative structure-activity relationships for predicting the joint toxicity of substituted anilines and phenols to algae.
    Lu GH; Wang C; Tang ZY; Guo XL
    Bull Environ Contam Toxicol; 2007 Jan; 78(1):73-7. PubMed ID: 17342553
    [No Abstract]   [Full Text] [Related]  

  • 7. A multipronged QSAR approach to predict algal low-toxic-effect concentrations of substituted phenols and anilines.
    Tugcu G; Saçan MT
    J Hazard Mater; 2018 Feb; 344():893-901. PubMed ID: 29190587
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Simple Approach to the Toxicity Prediction of Anilines and Phenols Towards Aquatic Organisms.
    Muhire J; Li BQ; Zhai HL; Li SS; Mi JY
    Arch Environ Contam Toxicol; 2020 May; 78(4):545-554. PubMed ID: 31915850
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Modification of polychlorinated phenols and evaluation of their toxicity, biodegradation and bioconcentration using three-dimensional quantitative structure-activity relationship models.
    Tong L; Guo L; Lv X; Li Y
    J Mol Graph Model; 2017 Jan; 71():1-12. PubMed ID: 27825025
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Applications of frontier molecular orbital energies in QSAR studies.
    Huang Q; Kong L; Wang L
    Bull Environ Contam Toxicol; 1996 May; 56(5):758-65. PubMed ID: 8661859
    [No Abstract]   [Full Text] [Related]  

  • 11. Prediction of toxicity of phenols and anilines to algae by quantitative structure-activity relationship.
    Lu GH; Wang C; Guo XL
    Biomed Environ Sci; 2008 Jun; 21(3):193-6. PubMed ID: 18714815
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Joint toxicity of aromatic compounds to algae and QSAR study.
    Lu G; Wang C; Tang Z; Guo X
    Ecotoxicology; 2007 Oct; 16(7):485-90. PubMed ID: 17597397
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multiple toxicity endpoint-structure relationships for substituted phenols and anilines.
    Yan F; Liu T; Jia Q; Wang Q
    Sci Total Environ; 2019 May; 663():560-567. PubMed ID: 30726764
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Quantitative structure-biodegradation relationship study for biodegradation rates of substituted benzenes by river bacteria.
    Lu GH; Wang C; Bao GZ
    Environ Toxicol Chem; 2003 Feb; 22(2):272-5. PubMed ID: 12558157
    [TBL] [Abstract][Full Text] [Related]  

  • 15. QSAR modeling of algal low level toxicity values of different phenol and aniline derivatives using 2D descriptors.
    Seth A; Roy K
    Aquat Toxicol; 2020 Nov; 228():105627. PubMed ID: 32956953
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of bacterial growth kinetics to in vitro toxicity assessment of substituted phenols and anilines.
    Nendza M; Seydel JK
    Ecotoxicol Environ Saf; 1990 Apr; 19(2):228-41. PubMed ID: 2186904
    [TBL] [Abstract][Full Text] [Related]  

  • 17. E-state modeling of fish toxicity independent of 3D structure information.
    Rose K; Hall LH
    SAR QSAR Environ Res; 2003 Apr; 14(2):113-29. PubMed ID: 12747570
    [TBL] [Abstract][Full Text] [Related]  

  • 18. QSAR analysis of soil sorption coefficients for polar organic chemicals: substituted anilines and phenols.
    Liu G; Yu J
    Water Res; 2005 May; 39(10):2048-55. PubMed ID: 15913706
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparative study of four QSAR models of aromatic compounds to aquatic organisms.
    Yu RL; Hu GR; Zhao YH
    J Environ Sci (China); 2002 Oct; 14(4):552-7. PubMed ID: 12491732
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Joint toxicity evaluation and QSAR modeling of aromatic amines and phenols to bacteria.
    Lu GH; Wang C; Wang PF; Chen ZY
    Bull Environ Contam Toxicol; 2009 Jul; 83(1):8-14. PubMed ID: 19308299
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.