QSAR modeling for predicting reproductive toxicity of chemicals in rats for regulatory purposes
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
QSAR modeling for predicting reproductive toxicity of chemicals in rats for regulatory purposes
Authors
Keywords
-
Journal
Toxicology Research
Volume 5, Issue 4, Pages 1029-1038
Publisher
Royal Society of Chemistry (RSC)
Online
2016-04-26
DOI
10.1039/c6tx00083e
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started