FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017827403> ?p ?o ?g. }

• W2017827403 endingPage "23" @default.
• W2017827403 startingPage "15" @default.
• W2017827403 abstract "The potential (eco)toxicological hazard posed by engineered nanoparticles is a major scientific and societal concern since several industrial sectors (e.g. electronics, biomedicine, and cosmetics) are exploiting the innovative properties of nanostructures resulting in their large-scale production. Many consumer products contain nanomaterials and, given their complex life-cycle, it is essential to anticipate their (eco)toxicological properties in a fast and inexpensive way in order to mitigate adverse effects on human health and the environment. In this context, the application of the structure–toxicity paradigm to nanomaterials represents a promising approach. Indeed, according to this paradigm, it is possible to predict toxicological effects induced by chemicals on the basis of their structural similarity with chemicals for which toxicological endpoints have been previously measured. These structure–toxicity relationships can be quantitative or qualitative in nature and they can predict toxicological effects directly from the physicochemical properties of the entities (e.g. nanoparticles) of interest. Therefore, this approach can aid in prioritizing resources in toxicological investigations while reducing the ethical and monetary costs that are related to animal testing. The purpose of this review is to provide a summary of recent key advances in the field of QSAR modelling of nanomaterial toxicity, to identify the major gaps in research required to accelerate the use of quantitative structure–activity relationship (QSAR) methods, and to provide a roadmap for future research needed to achieve QSAR models useful for regulatory purposes." @default.
• W2017827403 created "2016-06-24" @default.
• W2017827403 creator A5003243714 @default.
• W2017827403 creator A5026408527 @default.
• W2017827403 creator A5032730693 @default.
• W2017827403 creator A5056864993 @default.
• W2017827403 creator A5067004616 @default.
• W2017827403 creator A5076173216 @default.
• W2017827403 creator A5088315634 @default.
• W2017827403 date "2013-11-01" @default.
• W2017827403 modified "2023-10-16" @default.
• W2017827403 title "Applying quantitative structure–activity relationship approaches to nanotoxicology: Current status and future potential" @default.
• W2017827403 cites W1579194856 @default.
• W2017827403 cites W1907115210 @default.
• W2017827403 cites W1969896692 @default.
• W2017827403 cites W1970197319 @default.
• W2017827403 cites W1971007541 @default.
• W2017827403 cites W1973214372 @default.
• W2017827403 cites W1975913419 @default.
• W2017827403 cites W1980230522 @default.
• W2017827403 cites W1980590421 @default.
• W2017827403 cites W1981945774 @default.
• W2017827403 cites W1986505213 @default.
• W2017827403 cites W1990814794 @default.
• W2017827403 cites W1991782517 @default.
• W2017827403 cites W1991824679 @default.
• W2017827403 cites W1992226471 @default.
• W2017827403 cites W2008207702 @default.
• W2017827403 cites W2011370572 @default.
• W2017827403 cites W2017019174 @default.
• W2017827403 cites W2017075650 @default.
• W2017827403 cites W2030005642 @default.
• W2017827403 cites W2032495184 @default.
• W2017827403 cites W2033192435 @default.
• W2017827403 cites W2036661308 @default.
• W2017827403 cites W2038246612 @default.
• W2017827403 cites W2039561267 @default.
• W2017827403 cites W2041410086 @default.
• W2017827403 cites W2041560558 @default.
• W2017827403 cites W2044794349 @default.
• W2017827403 cites W2046653925 @default.
• W2017827403 cites W2047909810 @default.
• W2017827403 cites W2049757103 @default.
• W2017827403 cites W2050125927 @default.
• W2017827403 cites W2050892569 @default.
• W2017827403 cites W2060183514 @default.
• W2017827403 cites W2061073363 @default.
• W2017827403 cites W2066688904 @default.
• W2017827403 cites W2068025923 @default.
• W2017827403 cites W2070777894 @default.
• W2017827403 cites W2076225427 @default.
• W2017827403 cites W2079639517 @default.
• W2017827403 cites W2079867731 @default.
• W2017827403 cites W2079895416 @default.
• W2017827403 cites W2081006146 @default.
• W2017827403 cites W2094028552 @default.
• W2017827403 cites W2098272392 @default.
• W2017827403 cites W2098811469 @default.
• W2017827403 cites W2105085302 @default.
• W2017827403 cites W2106412044 @default.
• W2017827403 cites W2106878780 @default.
• W2017827403 cites W2110157951 @default.
• W2017827403 cites W2111455508 @default.
• W2017827403 cites W2112125766 @default.
• W2017827403 cites W2122046010 @default.
• W2017827403 cites W2127654256 @default.
• W2017827403 cites W2134549381 @default.
• W2017827403 cites W2140720810 @default.
• W2017827403 cites W2140966958 @default.
• W2017827403 cites W2142480093 @default.
• W2017827403 cites W2143771199 @default.
• W2017827403 cites W2146512855 @default.
• W2017827403 cites W2155064705 @default.
• W2017827403 cites W2157833538 @default.
• W2017827403 cites W2158771254 @default.
• W2017827403 cites W2163798762 @default.
• W2017827403 cites W2163842752 @default.
• W2017827403 cites W2165803245 @default.
• W2017827403 cites W2166710455 @default.
• W2017827403 cites W2315837940 @default.
• W2017827403 cites W2329895582 @default.
• W2017827403 cites W4245380581 @default.
• W2017827403 doi "https://doi.org/10.1016/j.tox.2012.11.005" @default.
• W2017827403 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23165187" @default.
• W2017827403 hasPublicationYear "2013" @default.
• W2017827403 type Work @default.
• W2017827403 sameAs 2017827403 @default.
• W2017827403 citedByCount "149" @default.
• W2017827403 countsByYear W20178274032012 @default.
• W2017827403 countsByYear W20178274032013 @default.
• W2017827403 countsByYear W20178274032014 @default.
• W2017827403 countsByYear W20178274032015 @default.
• W2017827403 countsByYear W20178274032016 @default.
• W2017827403 countsByYear W20178274032017 @default.
• W2017827403 countsByYear W20178274032018 @default.
• W2017827403 countsByYear W20178274032019 @default.
• W2017827403 countsByYear W20178274032020 @default.
• W2017827403 countsByYear W20178274032021 @default.

• next