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 *

168 related articles for article (PubMed ID: 36907405)

  • 1. Ecotoxicological QSAR study of fused/non-fused polycyclic aromatic hydrocarbons (FNFPAHs): Assessment and priority ranking of the acute toxicity to Pimephales promelas by QSAR and consensus modeling methods.
    Chen S; Sun G; Fan T; Li F; Xu Y; Zhang N; Zhao L; Zhong R
    Sci Total Environ; 2023 Jun; 876():162736. PubMed ID: 36907405
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Ecotoxicological QSAR modelling of the acute toxicity of fused and non-fused polycyclic aromatic hydrocarbons (FNFPAHs) against two aquatic organisms: Consensus modelling and comparison with ECOSAR.
    Li F; Sun G; Fan T; Zhang N; Zhao L; Zhong R; Peng Y
    Aquat Toxicol; 2023 Feb; 255():106393. PubMed ID: 36621240
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. A similarity-based QSAR model for predicting acute toxicity towards the fathead minnow (Pimephales promelas).
    Cassotti M; Ballabio D; Todeschini R; Consonni V
    SAR QSAR Environ Res; 2015; 26(3):217-43. PubMed ID: 25780951
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Chemometric QSAR modeling of acute oral toxicity of Polycyclic Aromatic Hydrocarbons (PAHs) to rat using simple 2D descriptors and interspecies toxicity modeling with mouse.
    Sun G; Zhang Y; Pei L; Lou Y; Mu Y; Yun J; Li F; Wang Y; Hao Z; Xi S; Li C; Chen C; Zhao L; Zhang N; Zhong R; Peng Y
    Ecotoxicol Environ Saf; 2021 Oct; 222():112525. PubMed ID: 34274838
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Validation of a QSAR model for acute toxicity.
    Pavan M; Netzeva TI; Worth AP
    SAR QSAR Environ Res; 2006 Apr; 17(2):147-71. PubMed ID: 16644555
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of acute toxicity to
    Wu X; Guo J; Dang G; Sui X; Zhang Q
    SAR QSAR Environ Res; 2022 Aug; 33(8):583-600. PubMed ID: 35862554
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prioritization of the ecotoxicological hazard of PAHs towards aquatic species spanning three trophic levels using 2D-QSTR, read-across and machine learning-driven modelling approaches.
    Li F; Wang P; Fan T; Zhang N; Zhao L; Zhong R; Sun G
    J Hazard Mater; 2024 Mar; 465():133410. PubMed ID: 38185092
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A QSAR for baseline toxicity: validation, domain of application, and prediction.
    Oberg T
    Chem Res Toxicol; 2004 Dec; 17(12):1630-7. PubMed ID: 15606139
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Unveiling first report on in silico modeling of aquatic toxicity of organic chemicals to Labeo rohita (Rohu) employing QSAR and q-RASAR.
    Gallagher A; Kar S
    Chemosphere; 2024 Feb; 349():140810. PubMed ID: 38029938
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Enhancing Acute Oral Toxicity Predictions by using Consensus Modeling and Algebraic Form-Based 0D-to-2D Molecular Encodes.
    García-Jacas CR; Marrero-Ponce Y; Cortés-Guzmán F; Suárez-Lezcano J; Martinez-Rios FO; García-González LA; Pupo-Meriño M; Martinez-Mayorga K
    Chem Res Toxicol; 2019 Jun; 32(6):1178-1192. PubMed ID: 31066547
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A joint optimization QSAR model of fathead minnow acute toxicity based on a radial basis function neural network and its consensus modeling.
    Wang Y; Chen X
    RSC Adv; 2020 Jun; 10(36):21292-21308. PubMed ID: 35518745
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ecotoxicological modelling of cosmetics for aquatic organisms: A QSTR approach.
    Khan K; Roy K
    SAR QSAR Environ Res; 2017 Jul; 28(7):567-594. PubMed ID: 28780892
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Ecotoxicological QSAR modeling of the acute toxicity of organic compounds to the freshwater crustacean Thamnocephalus platyurus.
    Lavado GJ; Baderna D; Gadaleta D; Ultre M; Roy K; Benfenati E
    Chemosphere; 2021 Oct; 280():130652. PubMed ID: 34162072
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predictive Computational Tools for Assessment of Ecotoxicological Activity of Organic Micropollutants in Various Water Sources in Brazil.
    de Morais E Silva L; Lorenzo VP; Lopes WS; Scotti L; Scotti MT
    Mol Inform; 2019 Aug; 38(8-9):e1800156. PubMed ID: 30725528
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Quantitative Read-across structure-activity relationship (q-RASAR): A new approach methodology to model aquatic toxicity of organic pesticides against different fish species.
    Ghosh S; Chatterjee M; Roy K
    Aquat Toxicol; 2023 Dec; 265():106776. PubMed ID: 38006764
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and validation of theoretical linear solvation energy relationship models for toxicity prediction to fathead minnow (Pimephales promelas).
    Lyakurwa F; Yang X; Li X; Qiao X; Chen J
    Chemosphere; 2014 Feb; 96():188-94. PubMed ID: 24216263
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.