Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles.
暂无分享,去创建一个
T. Puzyn | J. Leszczynski | H. Hwang | A. Gajewicz | Xiaoke Hu | D. Leszczyńska | A. Toropov | B. Rasulev | Thabitha P S Dasari | A. Michalkova
[1] Andrew P Worth,et al. A theoretical framework for predicting the oxidative stress potential of oxide nanoparticles , 2011, Nanotoxicology.
[2] T. Puzyn,et al. Toward the development of "nano-QSARs": advances and challenges. , 2009, Small.
[3] Jerzy Leszczynski,et al. Predicting water solubility of congeners: chloronaphthalenes--a case study. , 2009, Journal of hazardous materials.
[4] Peng Wang,et al. In vitro evaluation of cytotoxicity of engineered metal oxide nanoparticles. , 2009, The Science of the total environment.
[5] M. Wiesner,et al. Chemical stability of metallic nanoparticles: a parameter controlling their potential cellular toxicity in vitro. , 2009, Environmental pollution.
[6] Igor Linkov,et al. Emerging methods and tools for environmental risk assessment, decision-making, and policy for nanomaterials: summary of NATO Advanced Research Workshop , 2008, Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology.
[7] Armand Masion,et al. Relation between the redox state of iron-based nanoparticles and their cytotoxicity toward Escherichia coli. , 2008, Environmental science & technology.
[8] Tomasz Puzyn,et al. Calculation of Quantum-Mechanical Descriptors for QSPR at the DFT Level: Is It Necessary? , 2008, J. Chem. Inf. Model..
[9] A. Neal,et al. What can be inferred from bacterium–nanoparticle interactions about the potential consequences of environmental exposure to nanoparticles? , 2008, Ecotoxicology.
[10] Anne Kahru,et al. Toxicity of nanosized and bulk ZnO, CuO and TiO2 to bacteria Vibrio fischeri and crustaceans Daphnia magna and Thamnocephalus platyurus. , 2008, Chemosphere.
[11] J. Stewart. Optimization of parameters for semiempirical methods V: Modification of NDDO approximations and application to 70 elements , 2007, Journal of molecular modeling.
[12] Jerzy Leszczynski,et al. Predicting water solubility and octanol water partition coefficient for carbon nanotubes based on the chiral vector , 2007, Comput. Biol. Chem..
[13] Dae Hong Jeong,et al. Antimicrobial effects of silver nanoparticles. , 2007, Nanomedicine : nanotechnology, biology, and medicine.
[14] K. Wanner,et al. Methods and Principles in Medicinal Chemistry , 2007 .
[15] J. Song,et al. Does the Antibacterial Activity of Silver Nanoparticles Depend on the Shape of the Nanoparticle? A Study of the Gram-Negative Bacterium Escherichia coli , 2007, Applied and Environmental Microbiology.
[16] J. Leszczynski,et al. A new approach to the characterization of nanomaterials : Predicting Young's modulus by correlation weighting of nanomaterials codes , 2006 .
[17] Pedro J J Alvarez,et al. Comparative eco-toxicity of nanoscale TiO2, SiO2, and ZnO water suspensions. , 2006, Water research.
[18] John H. Xin,et al. Surface functionalization of cellulose fibers with titanium dioxide nanoparticles and their combined bactericidal activities , 2005 .
[19] K. Dreher,et al. Health and environmental impact of nanotechnology: toxicological assessment of manufactured nanoparticles. , 2003, Toxicological sciences : an official journal of the Society of Toxicology.
[20] Paola Gramatica,et al. Introduction General Considerations , 2022 .
[21] M. Cronin,et al. Pitfalls in QSAR , 2003 .
[22] J. Stewart. Optimization of parameters for semiempirical methods I. Method , 1989 .
[23] Alexander B. Pacheco. Introduction to Computational Chemistry , 2011 .