QNAR modeling of cytotoxicity of mixing nano-TiO2 and heavy metals

Mechanism of toxic effects of Nano-ZnO on cell cycle of zebrafish (Danio rerio)

(2019) Jing Hou et al.   CHEMOSPHERE

Development of QSAR Model for Subchronic Inhalation Toxicity Using Random Forest Regression Method

(2019) Jae Hong Shin et al.   BULLETIN OF THE KOREAN CHEMICAL SOCIETY

Two new predictors combined with quantum chemical parameters for the selection of oxidants and degradation of organic contaminants: A QSAR modeling study

(2019) Zhiwen Cheng et al.   CHEMOSPHERE

A further development of the QNAR model to predict the cellular uptake of nanoparticles by pancreatic cancer cells

(2018) Feng Luan et al.   FOOD AND CHEMICAL TOXICOLOGY

Construction of a molecular structure model of mild-oxidized Chinese lignite using Gaussian09 based on data from FTIR, solid state 13C-NMR

(2018) Youzhi Lu et al.   JOURNAL OF MOLECULAR MODELING

Nano-QSAR modeling for ecosafe design of heterogeneous TiO2-based nano-photocatalysts

(2018) Alicja Mikolajczyk et al.   Environmental Science-Nano

Estimation of TiO2 nanoparticle-induced genotoxicity persistence and possible chronic gastritis-induction in mice

(2015) Hanan Ramadan Hamad Mohamed   FOOD AND CHEMICAL TOXICOLOGY

Nano-QSAR modeling for predicting biological activity of diverse nanomaterials

(2014) Kunwar P. Singh et al.   RSC Advances

Functional analyses of nanoparticle toxicity: A comparative study of the effects of TiO2 and Ag on tomatoes (Lycopersicon esculentum)

(2013) Uhram Song et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Identification by random forest method of HLA class I amino acid substitutions associated with lower survival at day 100 in unrelated donor hematopoietic cell transplantation

(2011) S R Marino et al.   BONE MARROW TRANSPLANTATION

Health impact and safety of engineered nanomaterials

(2011) Yiwei Teow et al.   CHEMICAL COMMUNICATIONS

Exploring Quantitative Nanostructure-Activity Relationships (QNAR) Modeling as a Tool for Predicting Biological Effects of Manufactured Nanoparticles

(2011) Denis Fourches et al.   COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING

Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles

(2011) Tomasz Puzyn et al.   Nature Nanotechnology

Investigating the influence of data splitting on the predictive ability of QSAR/QSPR models

(2011) Tomasz Puzyn et al.   STRUCTURAL CHEMISTRY

Nano-TiO2 enhances the toxicity of copper in natural water to Daphnia magna

(2010) Wenhong Fan et al.   ENVIRONMENTAL POLLUTION

Potential neurotoxicity of nanoparticles

(2010) Yu-Lan Hu et al.   INTERNATIONAL JOURNAL OF PHARMACEUTICS

Comments on the Definition of theQ2Parameter for QSAR Validation

(2009) Viviana Consonni et al.   Journal of Chemical Information and Modeling

Basic validation procedures for regression models in QSAR and QSPR studies: theory and application

(2009) Rudolf Kiralj et al.   JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY

External Validation and Prediction Employing the Predictive Squared Correlation Coefficient  Test Set Activity Mean vs Training Set Activity Mean

(2008) Gerrit Schüürmann et al.   Journal of Chemical Information and Modeling

Emerging methods and tools for environmental risk assessment, decision-making, and policy for nanomaterials: summary of NATO Advanced Research Workshop

(2008) Igor Linkov et al.   JOURNAL OF NANOPARTICLE RESEARCH