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: 37682520)

  • 1. Read-across-based intelligent learning: development of a global q-RASAR model for the efficient quantitative predictions of skin sensitization potential of diverse organic chemicals.
    Banerjee A; Roy K
    Environ Sci Process Impacts; 2023 Oct; 25(10):1626-1644. PubMed ID: 37682520
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction-Inspired Intelligent Training for the Development of Classification Read-across Structure-Activity Relationship (c-RASAR) Models for Organic Skin Sensitizers: Assessment of Classification Error Rate from Novel Similarity Coefficients.
    Banerjee A; Roy K
    Chem Res Toxicol; 2023 Sep; 36(9):1518-1531. PubMed ID: 37584642
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Efficient predictions of cytotoxicity of TiO
    Banerjee A; Kar S; Pore S; Roy K
    Nanotoxicology; 2023 Feb; 17(1):78-93. PubMed ID: 36891579
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning - based q-RASAR modeling to predict acute contact toxicity of binary organic pesticide mixtures in honey bees.
    Chatterjee M; Banerjee A; Tosi S; Carnesecchi E; Benfenati E; Roy K
    J Hazard Mater; 2023 Oct; 460():132358. PubMed ID: 37634379
    [TBL] [Abstract][Full Text] [Related]  

  • 6. First report of q-RASAR modeling toward an approach of easy interpretability and efficient transferability.
    Banerjee A; Roy K
    Mol Divers; 2022 Oct; 26(5):2847-2862. PubMed ID: 35767129
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. On Some Novel Similarity-Based Functions Used in the ML-Based q-RASAR Approach for Efficient Quantitative Predictions of Selected Toxicity End Points.
    Banerjee A; Roy K
    Chem Res Toxicol; 2023 Mar; 36(3):446-464. PubMed ID: 36811528
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Predictive Quantitative Read-Across Structure-Property Relationship Modeling of the Retention Time (Log
    Ghosh S; Chatterjee M; Roy K
    J Agric Food Chem; 2023 Jun; 71(24):9538-9548. PubMed ID: 37294004
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of machine learning-based read-across structure-property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye-sensitized solar cells (DSSCs).
    Pore S; Banerjee A; Roy K
    Mol Inform; 2024 Apr; 43(4):e202300210. PubMed ID: 38374528
    [TBL] [Abstract][Full Text] [Related]  

  • 13. First report on chemometric modeling of tilapia fish aquatic toxicity to organic chemicals: Toxicity data gap filling.
    Yang S; Kar S
    Sci Total Environ; 2024 Jan; 907():167991. PubMed ID: 37898216
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Quick and efficient quantitative predictions of androgen receptor binding affinity for screening Endocrine Disruptor Chemicals using 2D-QSAR and Chemical Read-Across.
    Banerjee A; De P; Kumar V; Kar S; Roy K
    Chemosphere; 2022 Dec; 309(Pt 1):136579. PubMed ID: 36174732
    [TBL] [Abstract][Full Text] [Related]  

  • 15. QSTR with extended topochemical atom (ETA) indices. 9. Comparative QSAR for the toxicity of diverse functional organic compounds to Chlorella vulgaris using chemometric tools.
    Roy K; Ghosh G
    Chemosphere; 2007 Nov; 70(1):1-12. PubMed ID: 17765287
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility.
    Luechtefeld T; Marsh D; Rowlands C; Hartung T
    Toxicol Sci; 2018 Sep; 165(1):198-212. PubMed ID: 30007363
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Breaking the Barriers: Machine-Learning-Based c-RASAR Approach for Accurate Blood-Brain Barrier Permeability Prediction.
    Kumar V; Banerjee A; Roy K
    J Chem Inf Model; 2024 May; 64(10):4298-4309. PubMed ID: 38700741
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Environmental toxicological fate prediction of diverse organic chemicals based on steady-state compartmental chemical mass ratio using quantitative structure-fate relationship (QSFR) models.
    Pramanik S; Roy K
    Chemosphere; 2013 Jul; 92(5):600-7. PubMed ID: 23642702
    [TBL] [Abstract][Full Text] [Related]  

  • 19. First report on soil ecotoxicity prediction against Folsomia candida using intelligent consensus predictions and chemical read-across.
    Paul R; Chatterjee M; Roy K
    Environ Sci Pollut Res Int; 2022 Dec; 29(58):88302-88317. PubMed ID: 35829883
    [TBL] [Abstract][Full Text] [Related]  

  • 20. q-RASTR modelling for prediction of diverse toxic chemicals towards
    Ghosh V; Bhattacharjee A; Kumar A; Ojha PK
    SAR QSAR Environ Res; 2024 Jan; 35(1):11-30. PubMed ID: 38193248
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.