Matches in SemOpenAlex for { <https://semopenalex.org/work/W2012102578> ?p ?o ?g. }
- W2012102578 endingPage "541" @default.
- W2012102578 startingPage "515" @default.
- W2012102578 abstract "Skin sensitisation potential is an endpoint that needs to be assessed within the framework of existing and forthcoming legislation. At present, skin sensitisation hazard is normally identified using in vivo test methods, the favoured approach being the local lymph node assay (LLNA). This method can also provide a measure of relative skin sensitising potency which is essential for assessing and managing human health risks. One potential alternative approach to skin sensitisation hazard identification is the use of (Quantitative) structure activity relationships ((Q)SARs) coupled with appropriate documentation and performance characteristics. This represents a major challenge. Current thinking is that (Q)SARs might best be employed as part of a battery of approaches that collectively provide information on skin sensitisation hazard. A number of (Q)SARs and expert systems have been developed and are described in the literature. Here we focus on three models (TOPKAT, Derek for Windows and TOPS-MODE), and evaluate their performance against a recently published dataset of 211 chemicals. The current strengths and limitations of one of these models is highlighted, together with modifications that could be made to improve its performance. Of the models/expert systems evaluated, none performed sufficiently well to act as a standalone tool for hazard identification." @default.
- W2012102578 created "2016-06-24" @default.
- W2012102578 creator A5005592954 @default.
- W2012102578 creator A5010549809 @default.
- W2012102578 creator A5011168879 @default.
- W2012102578 creator A5012966223 @default.
- W2012102578 creator A5019104680 @default.
- W2012102578 creator A5031592925 @default.
- W2012102578 creator A5034652034 @default.
- W2012102578 creator A5039090860 @default.
- W2012102578 creator A5070602119 @default.
- W2012102578 creator A5085384594 @default.
- W2012102578 date "2007-07-01" @default.
- W2012102578 modified "2023-10-11" @default.
- W2012102578 title "An evaluation of selected global (Q)SARs/expert systems for the prediction of skin sensitisation potential" @default.
- W2012102578 cites W1561210178 @default.
- W2012102578 cites W1966184395 @default.
- W2012102578 cites W1968506788 @default.
- W2012102578 cites W1969030144 @default.
- W2012102578 cites W1970962798 @default.
- W2012102578 cites W1974108011 @default.
- W2012102578 cites W1978362138 @default.
- W2012102578 cites W1979690851 @default.
- W2012102578 cites W1980020187 @default.
- W2012102578 cites W1983653578 @default.
- W2012102578 cites W1985592654 @default.
- W2012102578 cites W1993473403 @default.
- W2012102578 cites W1994270945 @default.
- W2012102578 cites W1998239258 @default.
- W2012102578 cites W1998549010 @default.
- W2012102578 cites W2002503642 @default.
- W2012102578 cites W2002784026 @default.
- W2012102578 cites W2004794755 @default.
- W2012102578 cites W2016964060 @default.
- W2012102578 cites W2017013630 @default.
- W2012102578 cites W2021626800 @default.
- W2012102578 cites W2031236423 @default.
- W2012102578 cites W2032916421 @default.
- W2012102578 cites W2035652171 @default.
- W2012102578 cites W2035837996 @default.
- W2012102578 cites W2041795762 @default.
- W2012102578 cites W2044435760 @default.
- W2012102578 cites W2047600549 @default.
- W2012102578 cites W2053228091 @default.
- W2012102578 cites W2053914032 @default.
- W2012102578 cites W2055807001 @default.
- W2012102578 cites W2059159736 @default.
- W2012102578 cites W2061811321 @default.
- W2012102578 cites W2067049076 @default.
- W2012102578 cites W2072778655 @default.
- W2012102578 cites W2088303391 @default.
- W2012102578 cites W2100676307 @default.
- W2012102578 cites W2101239849 @default.
- W2012102578 cites W2103321550 @default.
- W2012102578 cites W2112047381 @default.
- W2012102578 cites W2112244057 @default.
- W2012102578 cites W2116387860 @default.
- W2012102578 cites W2120824224 @default.
- W2012102578 cites W2123755357 @default.
- W2012102578 cites W2141540939 @default.
- W2012102578 cites W2143722878 @default.
- W2012102578 cites W2147728377 @default.
- W2012102578 cites W2149483523 @default.
- W2012102578 cites W2155863033 @default.
- W2012102578 cites W2157971131 @default.
- W2012102578 cites W2164496815 @default.
- W2012102578 cites W2164638093 @default.
- W2012102578 cites W2313968233 @default.
- W2012102578 cites W2403565049 @default.
- W2012102578 cites W2476789114 @default.
- W2012102578 cites W26660148 @default.
- W2012102578 cites W4255520262 @default.
- W2012102578 cites W54822236 @default.
- W2012102578 doi "https://doi.org/10.1080/10629360701427872" @default.
- W2012102578 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17654336" @default.
- W2012102578 hasPublicationYear "2007" @default.
- W2012102578 type Work @default.
- W2012102578 sameAs 2012102578 @default.
- W2012102578 citedByCount "80" @default.
- W2012102578 countsByYear W20121025782012 @default.
- W2012102578 countsByYear W20121025782013 @default.
- W2012102578 countsByYear W20121025782014 @default.
- W2012102578 countsByYear W20121025782015 @default.
- W2012102578 countsByYear W20121025782016 @default.
- W2012102578 countsByYear W20121025782017 @default.
- W2012102578 countsByYear W20121025782018 @default.
- W2012102578 countsByYear W20121025782019 @default.
- W2012102578 countsByYear W20121025782020 @default.
- W2012102578 countsByYear W20121025782021 @default.
- W2012102578 countsByYear W20121025782022 @default.
- W2012102578 countsByYear W20121025782023 @default.
- W2012102578 crossrefType "journal-article" @default.
- W2012102578 hasAuthorship W2012102578A5005592954 @default.
- W2012102578 hasAuthorship W2012102578A5010549809 @default.
- W2012102578 hasAuthorship W2012102578A5011168879 @default.
- W2012102578 hasAuthorship W2012102578A5012966223 @default.
- W2012102578 hasAuthorship W2012102578A5019104680 @default.
- W2012102578 hasAuthorship W2012102578A5031592925 @default.