title: Optimal descriptor as a translator of eclectic information into the prediction of membrane damage by means of various TiO(2) nanoparticles.
abstract: The increasing use of nanomaterials incorporated into consumer products leads to the need for developing approaches to establish "quantitative structure-activity relationships" (QSARs) for various nanomaterials. However, the molecular structure as rule is not available for nanomaterials at least in its classic meaning. An possible alternative of classic QSAR (based on the molecular structure) is the using of data on physicochemical features of TiO(2) nanoparticles. The damage to cellular membranes (units L(-1)) by means of various TiO(2) nanoparticles is examined as the endpoint.
authors.affiliation: IRCCS, Istituto di Ricerche Farmacologiche Mario Negri, 20156, Via La Masa 19, Milano, Italy.
authors.forename: Alla P
authors.initials: AP
authors.lastname: Toropova
authors.forename: Andrey A
authors.initials: AA
authors.lastname: Toropov
mesh_terms: D008567:Membranes, Artificial; D008958:Models, Molecular; D009010:Monte Carlo Method; D053758:Nanoparticles / Q000737:chemistry*; D021281:Quantitative Structure-Activity Relationship; D014025:Titanium / Q000737:chemistry*
chemical_list: D008567:Membranes, Artificial; C009495:titanium dioxide; D014025:Titanium
keywords: Membrane damage; Monte Carlo method; QSAR; TiO(2) nanoparticle