A5080838592- Computational Drug Discovery Methods
- Animal testing and alternatives
- Chemical Safety and Risk Management
- Carcinogens and Genotoxicity Assessment
- Water Treatment and Disinfection
- Risk and Safety Analysis
- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
- Chemistry and Chemical Engineering
- Pharmaceutical studies and practices
- Health Systems, Economic Evaluations, Quality of Life
- Free Radicals and Antioxidants
- Safe Handling of Antineoplastic Drugs
- Hydrogen's biological and therapeutic effects
- Nuclear and radioactivity studies
- Chemical Analysis and Environmental Impact
- Bacillus and Francisella bacterial research
- Environmental Toxicology and Ecotoxicology
- Chemical Thermodynamics and Molecular Structure
- Pesticide and Herbicide Environmental Studies
- Pesticide Residue Analysis and Safety
- Wastewater Treatment and Reuse
- Pesticide Exposure and Toxicity
- Legionella and Acanthamoeba research
- Environmental Chemistry and Analysis
Nestlé (Switzerland)
2019
Vertex Pharmaceuticals (United States)
2019
Environmental Protection Agency
2000-2010
United States Department of Homeland Security
2008
National Center for Environmental Assessment (EPA)
2003-2004
Oak Ridge Institute for Science and Education
2003-2004
In silico toxicology (IST) approaches to rapidly assess chemical hazard, and usage of such methods is increasing in all applications but especially for regulatory submissions, as assessing chemicals under REACH well the ICH M7 guideline drug impurities. There are a number obstacles performing an IST assessment, including uncertainty how assessment associated expert review should be performed or what fit purpose, lack confidence that results will accepted by colleagues, collaborators...
The performance of the rat chronic lowest observed adverse effect level (LOAEL, exposure at which there are biologically significant increases in severity effects) model Toxicity Prediction by Komputer Assisted Technology (TOPKAT), a commercial quantitative structure−activity relationship software package, was tested on database chemicals that interest to U.S. EPA's Office Pesticide Programs. testing repeated from three EPA sources report peer-reviewed LOAELs. results this study were also...
Acute oral toxicity (AOT) data inform the acute potential of a compound and guides occupational safety transportation practices. AOT enable categorization chemical into appropriate Globally Harmonized System (GHS) category based on severity hazard. are also utilized to identify compounds that Dangerous Goods (DGs) subsequent guidance for shipping these hazardous materials. Proper identification DGs is challenging novel lack data. It not feasible err side caution all lacking designate them as...
As part of the EPA's mission to protect environment, chemicals concern (CoCs) at Superfund or other hazardous waste sites are cleaned up based on their potential toxicity humans and surrounding ecosystem. Oftentimes, there is a lack experimental data assess health effects for CoC in literature. This research describes method using Quantitative Structure Toxicity Relationships (QSTRs) identifying surrogate chemical any given CoC. The can then be used rank waste-site prior cleanup decisions. A...
With continued development of new chemicals and genetically engineered microbes as potential agents for terrorism industrial development, there is a great need the application quantitative structure activity relationships (QSARs) virulence factor (VFARs). Development QSARs VFARs will facilitate efficient streamlined use dwindling resources assessment risks associated with exposures to chemical biological agents. To at US Environmental Protection Agency, two day workshop was organized June...