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dc.contributor.authorBURELLO ENRICOen_GB
dc.contributor.authorWORTH Andrewen_GB
dc.date.accessioned2011-11-04T01:00:46Z-
dc.date.available2011-11-03en_GB
dc.date.available2011-11-04T01:00:46Z-
dc.date.created2011-10-06en_GB
dc.date.issued2011en_GB
dc.date.submitted2010-11-30en_GB
dc.identifier.citationWILEY INTERDISCIPLINARY REVIEWS-NANOMEDICINE AND NANOBIOTECHNOLOGY vol. 3 no. 3 p. 298 - 306en_GB
dc.identifier.issn1939-5116en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC62139-
dc.description.abstractA thorough understanding of the relationships between the physicochemical properties and the behaviour of nanomaterials in biological systems is mandatory for designing safe and efficacious nanomedicines. Quantitative Structure-Activity Relationship (QSAR) methods help to establish such relationships, although, their application to model the behaviour of nanomaterials requires new ideas and applications to account for the novel properties of this class of compounds. This review presents and discusses a number of recent inspiring applications of QSAR modelling and descriptors for nanomaterials with a focus on approaches that attempt to describe the interactions that take place at the nano/bio interface. The paradigm shift from classic to nano QSAR currently relies on both theoretically and experimentally derived descriptors, and the solutions adopted for modelling are diverse, mirroring the structural and behavioural heterogeneity of nanomaterials. Research should focus on both aspects of a QSAR study: the generation of nano-specific theoretical descriptors and experimental test data.en_GB
dc.description.sponsorshipJRC.I.6-Systems toxicologyen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherJOHN WILEY & SONS INCen_GB
dc.relation.ispartofseriesJRC62139en_GB
dc.titleQSAR modelling of nanomaterialsen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1002/wnan.137en_GB
JRC Directorate:Institute for Health and Consumer Protection Historical Collection

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