135 related articles for article (PubMed ID: 38006764)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. Random forest algorithm-based classification model of pesticide aquatic toxicity to fishes.
Yu X; Zeng Q
Aquat Toxicol; 2022 Oct; 251():106265. PubMed ID: 36030712
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. From molecular descriptors to the developmental toxicity prediction of pesticides/veterinary drugs/bio-pesticides against zebrafish embryo: Dual computational toxicological approaches for prioritization.
Wang Y; Wang P; Fan T; Ren T; Zhang N; Zhao L; Zhong R; Sun G
J Hazard Mater; 2024 Jun; 476():134945. PubMed ID: 38905984
[TBL] [Abstract][Full Text] [Related]
13. Norm Index-Based QSAR Model for Acute Toxicity of Pesticides Toward Rainbow Trout.
Jia Q; Liu T; Yan F; Wang Q
Environ Toxicol Chem; 2020 Feb; 39(2):352-358. PubMed ID: 31634980
[TBL] [Abstract][Full Text] [Related]
14. Exploring QSAR models for assessment of acute fish toxicity of environmental transformation products of pesticides (ETPPs).
Pandey SK; Ojha PK; Roy K
Chemosphere; 2020 Aug; 252():126508. PubMed ID: 32240857
[TBL] [Abstract][Full Text] [Related]
15. QSAR model for pesticides toxicity to Rainbow Trout based on "ideal correlations".
Toropov AA; Toropova AP; Benfenati E
Aquat Toxicol; 2020 Oct; 227():105589. PubMed ID: 32841884
[TBL] [Abstract][Full Text] [Related]
16. Prediction of acute toxicity for Chlorella vulgaris caused by tire wear particle-derived compounds using quantitative structure-activity relationship models.
Jiang JR; Cai WX; Chen ZF; Liao XL; Cai Z
Water Res; 2024 Jun; 256():121643. PubMed ID: 38663211
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Quantitative structure-activity relationships for the toxicity of organophosphorus and carbamate pesticides to the Rainbow trout Onchorhyncus mykiss.
Bermúdez-Saldaña JM; Cronin MT
Pest Manag Sci; 2006 Sep; 62(9):819-31. PubMed ID: 16763959
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
