169 related articles for article (PubMed ID: 32841907)
21. Review: Do engineered nanoparticles pose a significant threat to the aquatic environment?
Scown TM; van Aerle R; Tyler CR
Crit Rev Toxicol; 2010 Aug; 40(7):653-70. PubMed ID: 20662713
[TBL] [Abstract][Full Text] [Related]
22. Review and Prospects on the Ecotoxicity of Mixtures of Nanoparticles and Hybrid Nanomaterials.
Zhang F; Wang Z; Peijnenburg WJGM; Vijver MG
Environ Sci Technol; 2022 Nov; 56(22):15238-15250. PubMed ID: 36196869
[TBL] [Abstract][Full Text] [Related]
23. Interactions between engineered nanoparticles and dissolved organic matter: A review on mechanisms and environmental effects.
Yu S; Liu J; Yin Y; Shen M
J Environ Sci (China); 2018 Jan; 63():198-217. PubMed ID: 29406103
[TBL] [Abstract][Full Text] [Related]
24. Langendorff heart: a model system to study cardiovascular effects of engineered nanoparticles.
Stampfl A; Maier M; Radykewicz R; Reitmeir P; Göttlicher M; Niessner R
ACS Nano; 2011 Jul; 5(7):5345-53. PubMed ID: 21630684
[TBL] [Abstract][Full Text] [Related]
25. Genotoxic and carcinogenic potential of engineered nanoparticles: an update.
Kumar A; Dhawan A
Arch Toxicol; 2013 Nov; 87(11):1883-1900. PubMed ID: 24068037
[TBL] [Abstract][Full Text] [Related]
26. Monitoring characteristics and genotoxic effects of engineered nanoparticle-protein corona.
Senapati VA; Kansara K; Shanker R; Dhawan A; Kumar A
Mutagenesis; 2017 Oct; 32(5):479-490. PubMed ID: 29048576
[TBL] [Abstract][Full Text] [Related]
27. DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes.
Shah HA; Liu J; Yang Z; Zhang X; Feng J
Comput Biol Med; 2022 Aug; 147():105756. PubMed ID: 35759992
[TBL] [Abstract][Full Text] [Related]
28. Revealing disease-associated pathways by network integration of untargeted metabolomics.
Pirhaji L; Milani P; Leidl M; Curran T; Avila-Pacheco J; Clish CB; White FM; Saghatelian A; Fraenkel E
Nat Methods; 2016 Sep; 13(9):770-6. PubMed ID: 27479327
[TBL] [Abstract][Full Text] [Related]
29. [Application of metabolomics in nanotoxicity].
Zou XX; Wang HJ; Liu LH; Zhang B
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2020 Sep; 38(9):712-717. PubMed ID: 33036542
[TBL] [Abstract][Full Text] [Related]
30. Metal-based engineered nanoparticles in the drinking water treatment systems: A critical review.
Sousa VS; Ribau Teixeira M
Sci Total Environ; 2020 Mar; 707():136077. PubMed ID: 31863978
[TBL] [Abstract][Full Text] [Related]
31. The mechanisms and environmental implications of engineered nanoparticles dispersion.
Zhang D; Qiu J; Shi L; Liu Y; Pan B; Xing B
Sci Total Environ; 2020 Jun; 722():137781. PubMed ID: 32199363
[TBL] [Abstract][Full Text] [Related]
32. Can the properties of engineered nanoparticles be indicative of their functions and effects in plants?
Liu Y; Pan B; Li H; Lang D; Zhao Q; Zhang D; Wu M; Steinberg CEW; Xing B
Ecotoxicol Environ Saf; 2020 Dec; 205():111128. PubMed ID: 32827963
[TBL] [Abstract][Full Text] [Related]
33. Untargeted metabolomics for Achilles heel of engineered nanomaterials' risk assessment.
Ahmad F; Abubshait SA; Abubshait HA
Chemosphere; 2021 Jan; 262():128058. PubMed ID: 33182140
[TBL] [Abstract][Full Text] [Related]
34. Effects of low-level engineered nanoparticles on the quorum sensing of Pseudomonas aeruginosa PAO1.
Li N; Wang L; Yan H; Wang M; Shen D; Yin J; Shentu J
Environ Sci Pollut Res Int; 2018 Mar; 25(7):7049-7058. PubMed ID: 29273994
[TBL] [Abstract][Full Text] [Related]
35. Health implications of engineered nanoparticles in infants and children.
Tang S; Wang M; Germ KE; Du HM; Sun WJ; Gao WM; Mayer GD
World J Pediatr; 2015 Aug; 11(3):197-206. PubMed ID: 26253410
[TBL] [Abstract][Full Text] [Related]
36. Metabolomics techniques for nanotoxicity investigations.
Lv M; Huang W; Chen Z; Jiang H; Chen J; Tian Y; Zhang Z; Xu F
Bioanalysis; 2015; 7(12):1527-44. PubMed ID: 26168257
[TBL] [Abstract][Full Text] [Related]
37. A deep learning architecture for metabolic pathway prediction.
Baranwal M; Magner A; Elvati P; Saldinger J; Violi A; Hero AO
Bioinformatics; 2020 Apr; 36(8):2547-2553. PubMed ID: 31879763
[TBL] [Abstract][Full Text] [Related]
38. Neutron activation of engineered nanoparticles as a tool for tracing their environmental fate and uptake in organisms.
Oughton DH; Hertel-Aas T; Pellicer E; Mendoza E; Joner EJ
Environ Toxicol Chem; 2008 Sep; 27(9):1883-7. PubMed ID: 19086315
[TBL] [Abstract][Full Text] [Related]
39. Rapid Prediction of Bacterial Heterotrophic Fluxomics Using Machine Learning and Constraint Programming.
Wu SG; Wang Y; Jiang W; Oyetunde T; Yao R; Zhang X; Shimizu K; Tang YJ; Bao FS
PLoS Comput Biol; 2016 Apr; 12(4):e1004838. PubMed ID: 27092947
[TBL] [Abstract][Full Text] [Related]
40. Metabolomics meets machine learning: Longitudinal metabolite profiling in serum of normal versus overconditioned cows and pathway analysis.
Ghaffari MH; Jahanbekam A; Sadri H; Schuh K; Dusel G; Prehn C; Adamski J; Koch C; Sauerwein H
J Dairy Sci; 2019 Dec; 102(12):11561-11585. PubMed ID: 31548056
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]