Investigation of the influence of protein corona composition on gold nanoparticle bioactivity using machine learning approaches
出版年份 2016 全文链接
标题
Investigation of the influence of protein corona composition on gold nanoparticle bioactivity using machine learning approaches
作者
关键词
-
出版物
SAR AND QSAR IN ENVIRONMENTAL RESEARCH
Volume 27, Issue 7, Pages 521-538
出版商
Informa UK Limited
发表日期
2016-06-23
DOI
10.1080/1062936x.2016.1197310
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Protein corona: Opportunities and challenges
- (2016) Saeid Zanganeh et al. INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY
- Predicting Cell Association of Surface-Modified Nanoparticles Using Protein Corona Structure - Activity Relationships (PCSAR)
- (2015) Padmaja Kamath et al. CURRENT TOPICS IN MEDICINAL CHEMISTRY
- Prediction of nanoparticles-cell association based on corona proteins and physicochemical properties
- (2015) Rong Liu et al. Nanoscale
- (Q)SAR modelling of nanomaterial toxicity: A critical review
- (2015) Ceyda Oksel et al. Particuology
- Linear and non-linear modelling of the cytotoxicity of TiO2and ZnO nanoparticles by empirical descriptors
- (2015) E. Papa et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- Current situation on the availability of nanostructure–biological activity data
- (2015) C. Oksel et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- Building Predictive Models inRUsing thecaretPackage
- (2015) Max Kuhn Journal of Statistical Software
- Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles
- (2014) Carl D. Walkey et al. ACS Nano
- Chemical Basis of Interactions Between Engineered Nanoparticles and Biological Systems
- (2014) Qingxin Mu et al. CHEMICAL REVIEWS
- Structure–activity relationship study of trifluoromethylketone inhibitors of insect juvenile hormone esterase: Comparison of several classification methods
- (2014) J.P. Doucet et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- QSARINS: A new software for the development, analysis, and validation of QSAR MLR models
- (2013) Paola Gramatica et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Improvement of carcinogenicity prediction performances based on sensitivity analysis in variable selection of SVM models
- (2013) K. Tanabe et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- Random forests for feature selection in QSPR Models - an application for predicting standard enthalpy of formation of hydrocarbons
- (2013) Ana L Teixeira et al. Journal of Cheminformatics
- Investigating the relationship between nanomaterial hazard and physicochemical properties: Informing the exploitation of nanomaterials within therapeutic and diagnostic applications
- (2012) Helinor Johnston et al. JOURNAL OF CONTROLLED RELEASE
- QSAR classification models for the screening of the endocrine-disrupting activity of perfluorinated compounds
- (2012) S. Kovarich et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- Applying quantitative structure–activity relationship approaches to nanotoxicology: Current status and future potential
- (2012) David A. Winkler et al. TOXICOLOGY
- Predicting Drug-Induced Hepatotoxicity Using QSAR and Toxicogenomics Approaches
- (2011) Yen Low et al. CHEMICAL RESEARCH IN TOXICOLOGY
- Further exploring rm2 metrics for validation of QSPR models
- (2011) Probir Kumar Ojha et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Quantitative Nanostructure−Activity Relationship Modeling
- (2010) Denis Fourches et al. ACS Nano
- Current Mathematical Methods Used in QSAR/QSPR Studies
- (2009) Peixun Liu et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- QSAR models for 2-amino-6-arylsulfonylbenzonitriles and congeners HIV-1 reverse transcriptase inhibitors based on linear and nonlinear regression methods
- (2008) Rongjing Hu et al. EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
- Combinatorial QSAR Modeling of Chemical Toxicants Tested against Tetrahymena pyriformis
- (2008) Hao Zhu et al. Journal of Chemical Information and Modeling
- Screening of persistent organic pollutants by QSPR classification models: A comparative study
- (2008) Ester Papa et al. JOURNAL OF MOLECULAR GRAPHICS & MODELLING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search