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 *

225 related articles for article (PubMed ID: 28991213)

  • 41. Bioanalytical and chemical assessment of the disinfection by-product formation potential: role of organic matter.
    Farré MJ; Day S; Neale PA; Stalter D; Tang JY; Escher BI
    Water Res; 2013 Sep; 47(14):5409-21. PubMed ID: 23866154
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Detection, formation and occurrence of 13 new polar phenolic chlorinated and brominated disinfection byproducts in drinking water.
    Pan Y; Wang Y; Li A; Xu B; Xian Q; Shuang C; Shi P; Zhou Q
    Water Res; 2017 Apr; 112():129-136. PubMed ID: 28153699
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Blood-brain barrier permeability mechanisms in view of quantitative structure-activity relationships (QSAR).
    Bujak R; Struck-Lewicka W; Kaliszan M; Kaliszan R; Markuszewski MJ
    J Pharm Biomed Anal; 2015 Apr; 108():29-37. PubMed ID: 25703237
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Quantitative structure activity relationship (QSAR) of chlorine effects on E(LUMO) of disinfection by-product: Chlorinated alkanes.
    Tang WZ; Wang F
    Chemosphere; 2010 Feb; 78(7):914-21. PubMed ID: 20004459
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Bioanalytical assessment of adaptive stress responses in drinking water: A predictive tool to differentiate between micropollutants and disinfection by-products.
    Hebert A; Feliers C; Lecarpentier C; Neale PA; Schlichting R; Thibert S; Escher BI
    Water Res; 2018 Apr; 132():340-349. PubMed ID: 29353197
    [TBL] [Abstract][Full Text] [Related]  

  • 46. QSAR modeling of toxicity of diverse organic chemicals to Daphnia magna using 2D and 3D descriptors.
    Kar S; Roy K
    J Hazard Mater; 2010 May; 177(1-3):344-51. PubMed ID: 20045248
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Development and validation of a quantitative structure-activity relationship for chronic narcosis to fish.
    Claeys L; Iaccino F; Janssen CR; Van Sprang P; Verdonck F
    Environ Toxicol Chem; 2013 Oct; 32(10):2217-25. PubMed ID: 23775559
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Consensus QSAR modeling of toxicity of pharmaceuticals to different aquatic organisms: Ranking and prioritization of the DrugBank database compounds.
    Khan K; Benfenati E; Roy K
    Ecotoxicol Environ Saf; 2019 Jan; 168():287-297. PubMed ID: 30390527
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Real external predictivity of QSAR models: how to evaluate it? Comparison of different validation criteria and proposal of using the concordance correlation coefficient.
    Chirico N; Gramatica P
    J Chem Inf Model; 2011 Sep; 51(9):2320-35. PubMed ID: 21800825
    [TBL] [Abstract][Full Text] [Related]  

  • 50. MOA-based linear and nonlinear QSAR models for predicting the toxicity of organic chemicals to Vibrio fischeri.
    Zhang S; Wang N; Su L; Xu X; Li C; Qin W; Zhao Y
    Environ Sci Pollut Res Int; 2020 Mar; 27(9):9114-9125. PubMed ID: 31916172
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Statistically validated QSARs, based on theoretical descriptors, for modeling aquatic toxicity of organic chemicals in Pimephales promelas (fathead minnow).
    Papa E; Villa F; Gramatica P
    J Chem Inf Model; 2005; 45(5):1256-66. PubMed ID: 16180902
    [TBL] [Abstract][Full Text] [Related]  

  • 52. QSPR for predicting chloroform formation in drinking water disinfection.
    Luilo GB; Cabaniss SE
    SAR QSAR Environ Res; 2011; 22(5-6):489-504. PubMed ID: 21714732
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Quantitative read-across structure-activity relationship (q-RASAR): A novel approach to estimate the subchronic oral safety (NOAEL) of diverse organic chemicals in rats.
    Ghosh S; Roy K
    Toxicology; 2024 Jun; 505():153824. PubMed ID: 38705560
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Development of in silico models for predicting LSER molecular parameters and for acute toxicity prediction to fathead minnow (Pimephales promelas).
    Lyakurwa FS; Yang X; Li X; Qiao X; Chen J
    Chemosphere; 2014 Aug; 108():17-25. PubMed ID: 24875907
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Comprehensive assessment of a chlorinated drinking water concentrate in a rat multigenerational reproductive toxicity study.
    Narotsky MG; Klinefelter GR; Goldman JM; Best DS; McDonald A; Strader LF; Suarez JD; Murr AS; Thillainadarajah I; Hunter ES; Richardson SD; Speth TF; Miltner RJ; Pressman JG; Teuschler LK; Rice GE; Moser VC; Luebke RW; Simmons JE
    Environ Sci Technol; 2013 Sep; 47(18):10653-9. PubMed ID: 23909560
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Influence of bacterial extracellular polymeric substances on the formation of carbonaceous and nitrogenous disinfection byproducts.
    Wang Z; Kim J; Seo Y
    Environ Sci Technol; 2012 Oct; 46(20):11361-9. PubMed ID: 22958143
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Occurrence, genotoxicity, and carcinogenicity of regulated and emerging disinfection by-products in drinking water: a review and roadmap for research.
    Richardson SD; Plewa MJ; Wagner ED; Schoeny R; Demarini DM
    Mutat Res; 2007; 636(1-3):178-242. PubMed ID: 17980649
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Comparison of Multiple Linear Regressions and Neural Networks based QSAR models for the design of new antitubercular compounds.
    Ventura C; Latino DA; Martins F
    Eur J Med Chem; 2013; 70():831-45. PubMed ID: 24246731
    [TBL] [Abstract][Full Text] [Related]  

  • 59. In silico model for predicting soil organic carbon normalized sorption coefficient (K(OC)) of organic chemicals.
    Wang Y; Chen J; Yang X; Lyakurwa F; Li X; Qiao X
    Chemosphere; 2015 Jan; 119():438-444. PubMed ID: 25084062
    [TBL] [Abstract][Full Text] [Related]  

  • 60. QSAR modelling study of the bioconcentration factor and toxicity of organic compounds to aquatic organisms using machine learning and ensemble methods.
    Ai H; Wu X; Zhang L; Qi M; Zhao Y; Zhao Q; Zhao J; Liu H
    Ecotoxicol Environ Saf; 2019 Sep; 179():71-78. PubMed ID: 31026752
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.