Modeling uptake of nanoparticles in multiple human cells using structure–activity relationships and intercellular uptake correlations

Be aware of error measures. Further studies on validation of predictive QSAR models

(2016) Kunal Roy et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A three-tier QSAR modeling strategy for estimating eye irritation potential of diverse chemicals in rabbit for regulatory purposes

(2016) Nikita Basant et al.   REGULATORY TOXICOLOGY AND PHARMACOLOGY

Computational approaches for the prediction of the selective uptake of magnetofluorescent nanoparticles into human cells

(2016) E. Papa et al.   RSC Advances

Predicting aquatic toxicities of chemical pesticides in multiple test species using nonlinear QSTR modeling approaches

(2015) Nikita Basant et al.   CHEMOSPHERE

Predicting Toxicities of Diverse Chemical Pesticides in Multiple Avian Species Using Tree-Based QSAR Approaches for Regulatory Purposes

(2015) Nikita Basant et al.   Journal of Chemical Information and Modeling

Beware of R2: Simple, Unambiguous Assessment of the Prediction Accuracy of QSAR and QSPR Models

(2015) D. L. J. Alexander et al.   Journal of Chemical Information and Modeling

In silico prediction of linear free energy relationship descriptors of neutral and ionic compounds

(2015) Chul-Woong Cho et al.   RSC Advances

Prediction of the Fate of Organic Compounds in the Environment From Their Molecular Properties: A Review

(2014) Laure Mamy et al.   CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY

Evaluating influences of seasonal variations and anthropogenic activities on alluvial groundwater hydrochemistry using ensemble learning approaches

(2014) Kunwar P. Singh et al.   JOURNAL OF HYDROLOGY

Modelling and predicting the biological effects of nanomaterials

(2014) D.A. Winkler et al.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH

Nano-quantitative structure–activity relationship modeling using easily computable and interpretable descriptors for uptake of magnetofluorescent engineered nanoparticles in pancreatic cancer cells

(2014) Supratik Kar et al.   TOXICOLOGY IN VITRO

Nano-QSAR modeling for predicting biological activity of diverse nanomaterials

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

QSAR as a random event: Modeling of nanoparticles uptake in PaCa2 cancer cells

(2013) Andrey A. Toropov et al.   CHEMOSPHERE

Development and evaluation of a mechanistic bioconcentration model for ionogenic organic chemicals in fish

(2012) James M. Armitage et al.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY

Modeling the Cellular Uptake of Magnetofluorescent Nanoparticles in Pancreatic Cancer Cells: A Quantitative Structure Activity Relationship Study

(2012) Mehdi Ghorbanzadeh et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Modeling Biological Activities of Nanoparticles

(2012) V. Chandana Epa et al.   NANO LETTERS

Cell “vision”: complementary factor of protein corona in nanotoxicology

(2012) Morteza Mahmoudi et al.   Nanoscale

Quantitative Nanostructure–Activity Relationship modelling of nanoparticles

(2012) Yi Ting Chau et al.   RSC Advances

Dispersal State of Multiwalled Carbon Nanotubes Elicits Profibrogenic Cellular Responses That Correlate with Fibrogenesis Biomarkers and Fibrosis in the Murine Lung

(2011) Xiang Wang et al.   ACS Nano

Endocytosis and intracellular transport of nanoparticles: Present knowledge and need for future studies

(2011) Tore-Geir Iversen et al.   Nano Today

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

(2011) Tomasz Puzyn et al.   Nature Nanotechnology

Binding of blood proteins to carbon nanotubes reduces cytotoxicity

(2011) C. Ge et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Cellular Uptake, Intracellular Trafficking, and Cytotoxicity of Nanomaterials

(2011) Feng Zhao et al.   Small

Quantitative Structure-Activity Relationship Analysis of the Anticonvulsant Activity of Some Benzylacetamides Based on Genetic Algorithm-Based Multiple Linear Regression

(2011) A Najafi et al.   TROPICAL JOURNAL OF PHARMACEUTICAL RESEARCH

Quantitative Nanostructure−Activity Relationship Modeling

(2010) Denis Fourches et al.   ACS Nano

PaDEL-descriptor: An open source software to calculate molecular descriptors and fingerprints

(2010) Chun Wei Yap   JOURNAL OF COMPUTATIONAL CHEMISTRY

Exploring quantitative structure–activity relationship studies of antioxidant phenolic compounds obtained from traditional Chinese medicinal plants

(2010) Indrani Mitra et al.   MOLECULAR SIMULATION

Magnetic nanoparticles for theragnostics

(2009) Veronica I. Shubayev et al.   ADVANCED DRUG DELIVERY REVIEWS

Partial least squares and artificial neural networks modeling for predicting chlorophenol removal from aqueous solution

(2009) Kunwar P. Singh et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Understanding biophysicochemical interactions at the nano–bio interface

(2009) Andre E. Nel et al.   NATURE MATERIALS

Effect of Surface Properties on Nanoparticle–Cell Interactions

(2009) Ayush Verma et al.   Small

An alternative approach for the prediction of significant wave heights based on classification and regression trees

(2008) J. Mahjoobi et al.   APPLIED OCEAN RESEARCH