QSAR modeling for predicting reproductive toxicity of chemicals in rats for regulatory purposes
出版年份 2016 全文链接
标题
QSAR modeling for predicting reproductive toxicity of chemicals in rats for regulatory purposes
作者
关键词
-
出版物
Toxicology Research
Volume 5, Issue 4, Pages 1029-1038
出版商
Royal Society of Chemistry (RSC)
发表日期
2016-04-26
DOI
10.1039/c6tx00083e
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。- Be aware of error measures. Further studies on validation of predictive QSAR models
- (2016) Kunal Roy et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Modeling the toxicity of chemical pesticides in multiple test species using local and global QSTR approaches
- (2016) Nikita Basant et al. Toxicology Research
- In silico prediction of cellular permeability of diverse chemicals using qualitative and quantitative SAR modeling approaches
- (2015) Kunwar P. Singh et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- On a simple approach for determining applicability domain of QSAR models
- (2015) Kunal Roy et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- QSTR modeling for predicting aquatic toxicity of pharmacological active compounds in multiple test species for regulatory purpose
- (2015) Kunwar P. Singh et al. CHEMOSPHERE
- In silico prediction of chemical toxicity on avian species using chemical category approaches
- (2015) Chen Zhang et al. CHEMOSPHERE
- Predicting aquatic toxicities of chemical pesticides in multiple test species using nonlinear QSTR modeling approaches
- (2015) Nikita Basant et al. CHEMOSPHERE
- 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
- Predicting the hazardous dose of industrial chemicals in warm-blooded species using machine learning-based modelling approaches
- (2015) S. Gupta et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- Predicting aquatic toxicities of benzene derivatives in multiple test species using local, global and interspecies QSTR modeling approaches
- (2015) Shikha Gupta et al. RSC Advances
- Multispecies QSAR Modeling for Predicting the Aquatic Toxicity of Diverse Organic Chemicals for Regulatory Toxicology
- (2014) Kunwar P. Singh et al. CHEMICAL RESEARCH IN TOXICOLOGY
- 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
- Predicting toxicities of ionic liquids in multiple test species – an aid in designing green chemicals
- (2014) Kunwar P. Singh et al. RSC Advances
- ChemoPy: freely available python package for computational biology and chemoinformatics
- (2013) Dong-Sheng Cao et al. BIOINFORMATICS
- QSAR Modeling: Where Have You Been? Where Are You Going To?
- (2013) Artem Cherkasov et al. JOURNAL OF MEDICINAL CHEMISTRY
- Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms
- (2012) Halil Ibrahim Erdal et al. JOURNAL OF HYDROLOGY
- Predictive Model of Rat Reproductive Toxicity from ToxCast High Throughput Screening1
- (2011) Matthew T Martin et al. BIOLOGY OF REPRODUCTION
- Development of kNN QSAR Models for 3-Arylisoquinoline Antitumor Agents
- (2011) Alexander Tropsha et al. BULLETIN OF THE KOREAN CHEMICAL SOCIETY
- Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles
- (2011) Tomasz Puzyn et al. Nature Nanotechnology
- On the impact of second generation mating and offspring in multi-generation reproductive toxicity studies on classification and labelling of substances in Europe
- (2011) Emiel Rorije et al. REGULATORY TOXICOLOGY AND PHARMACOLOGY
- Ligand - based virtual screening procedure for the prediction and the identification of novel β-amyloid aggregation inhibitors using Kohonen maps and Counterpropagation Artificial Neural Networks
- (2010) Antreas Afantitis et al. EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
- Exploring quantitative structure–activity relationship studies of antioxidant phenolic compounds obtained from traditional Chinese medicinal plants
- (2010) Indrani Mitra et al. MOLECULAR SIMULATION
- Consistency of random survival forests
- (2010) Hemant Ishwaran et al. STATISTICS & PROBABILITY LETTERS
- The European Union’s REACH regulation: a review of its history and requirements
- (2009) E. Spencer Williams et al. CRITICAL REVIEWS IN TOXICOLOGY
- Profiling the Reproductive Toxicity of Chemicals from Multigeneration Studies in the Toxicity Reference Database
- (2009) Matthew T. Martin et al. TOXICOLOGICAL SCIENCES
- An alternative approach for the prediction of significant wave heights based on classification and regression trees
- (2008) J. Mahjoobi et al. APPLIED OCEAN RESEARCH
- Handling class imbalance in customer churn prediction
- (2008) J. Burez et al. EXPERT SYSTEMS WITH APPLICATIONS
- QSAR models for reproductive toxicity and endocrine disruption in regulatory use – a preliminary investigation†
- (2008) G.E. Jensen et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- Toxmatch–a new software tool to aid in the development and evaluation of chemically similar groups
- (2008) G. Patlewicz et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
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