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 *

142 related articles for article (PubMed ID: 33387719)

  • 1. Prediction of aquatic toxicity of chemical mixtures by the QSAR approach using 2D structural descriptors.
    Chatterjee M; Roy K
    J Hazard Mater; 2021 Apr; 408():124936. PubMed ID: 33387719
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Toxicity of individual and mixture of organic compounds to P. Phosphoreum and S. Capricornutum using interpretable simple structural parameters.
    Keshavarz MH; Shirazi Z; Jafari M; Oliaeei A
    Chemosphere; 2024 Jun; 357():142046. PubMed ID: 38636913
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ecotoxicological QSAR modeling of organic compounds against fish: Application of fragment based descriptors in feature analysis.
    Khan K; Baderna D; Cappelli C; Toma C; Lombardo A; Roy K; Benfenati E
    Aquat Toxicol; 2019 Jul; 212():162-174. PubMed ID: 31128417
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ecotoxicological QSAR modelling of organic chemicals against
    Khan K; Roy K
    SAR QSAR Environ Res; 2019 Sep; 30(9):665-681. PubMed ID: 31474156
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Predictive binary mixture toxicity modeling of fluoroquinolones (FQs) and the projection of toxicity of hypothetical binary FQ mixtures: a combination of 2D-QSAR and machine-learning approaches.
    Chatterjee M; Roy K
    Environ Sci Process Impacts; 2024 Jan; 26(1):105-118. PubMed ID: 38073518
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation of CADASTER QSAR models for the aquatic toxicity of (benzo)triazoles and prioritisation by consensus prediction.
    Cassani S; Kovarich S; Papa E; Roy PP; Rahmberg M; Nilsson S; Sahlin U; Jeliazkova N; Kochev N; Pukalov O; Tetko I; Brandmaier S; Durjava MK; Kolar B; Peijnenburg W; Gramatica P
    Altern Lab Anim; 2013 Mar; 41(1):49-64. PubMed ID: 23614544
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Hazard of pharmaceuticals for aquatic environment: Prioritization by structural approaches and prediction of ecotoxicity.
    Sangion A; Gramatica P
    Environ Int; 2016 Oct; 95():131-43. PubMed ID: 27568576
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting aquatic toxicities of chemical pesticides in multiple test species using nonlinear QSTR modeling approaches.
    Basant N; Gupta S; Singh KP
    Chemosphere; 2015 Nov; 139():246-55. PubMed ID: 26142614
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Quantitative structure-activity relationship for prediction of the toxicity of phenols on Photobacterium phosphoreum.
    Li X; Wang Z; Liu H; Yu H
    Bull Environ Contam Toxicol; 2012 Jul; 89(1):27-31. PubMed ID: 22562268
    [TBL] [Abstract][Full Text] [Related]  

  • 11. QSAR assessment of aquatic toxicity potential of diverse agrochemicals.
    Nath A; Ojha PK; Roy K
    SAR QSAR Environ Res; 2023 Nov; ():1-20. PubMed ID: 37941423
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Application of QSAR for the identification of key molecular fragments and reliable predictions of effects of textile dyes on growth rate and biomass values of Raphidocelis subcapitata.
    Jillella GK; Ojha PK; Roy K
    Aquat Toxicol; 2021 Jul; 238():105925. PubMed ID: 34332198
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Quantitative Structure-Activity Relationships of Aquatic Narcosis: A Review.
    Adhikari C; Mishra BK
    Curr Comput Aided Drug Des; 2018; 14(1):7-28. PubMed ID: 28699497
    [TBL] [Abstract][Full Text] [Related]  

  • 18. QSAR models for predicting the acute toxicity of selected organic chemicals with diverse structures to aquatic non-vertebrates and humans.
    Calleja MC; Geladi P; Persoone G
    SAR QSAR Environ Res; 1994; 2(3):193-234. PubMed ID: 8790646
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The mixture toxicity of heavy metals on Photobacterium phosphoreum and its modeling by ion characteristics-based QSAR.
    Zeng J; Chen F; Li M; Wu L; Zhang H; Zou X
    PLoS One; 2019; 14(12):e0226541. PubMed ID: 31856252
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.