A5060677235- Carcinogens and Genotoxicity Assessment
- Computational Drug Discovery Methods
- Effects and risks of endocrine disrupting chemicals
- Vehicle emissions and performance
- Chemistry and Chemical Engineering
- Toxic Organic Pollutants Impact
- Pesticide Residue Analysis and Safety
- Air Quality and Health Impacts
- Advanced Combustion Engine Technologies
- Research Data Management Practices
- Environmental Toxicology and Ecotoxicology
- Carbohydrate Chemistry and Synthesis
- Biodiesel Production and Applications
- Scientific Computing and Data Management
- Glycosylation and Glycoproteins Research
- Genetically Modified Organisms Research
- Agricultural safety and regulations
- Advanced biosensing and bioanalysis techniques
- Pesticide Exposure and Toxicity
- Atmospheric chemistry and aerosols
- Environmental Justice and Health Disparities
- Microplastics and Plastic Pollution
- Nanoparticles: synthesis and applications
- Insect and Pesticide Research
- Analytical chemistry methods development
Istituto Superiore di Sanità
2013-2025
Federal Office of Public Health
2011
University of Naples Federico II
1999
The International Conference on Harmonization (ICH) M7 guideline allows the use of in silico approaches for predicting Ames mutagenicity initial assessment impurities pharmaceuticals. This is first international that addresses quantitative structure–activity relationship (QSAR) models lieu actual toxicological studies human health assessment. Therefore, QSAR now require higher predictive power identifying mutagenic chemicals. To increase models, larger experimental datasets from reliable...
There is international interest in using alternatives to animal testing, including (Q)SARs, chemical hazard assessments. The regulatory acceptance of alternative methods requires principles for considering the scientific rigour and their results. OECD (Q)SAR assessment Framework (QAF) was developed as guidance regulators when models predictions evaluation. QAF builds on existing evaluating and, learning from longstanding experience assessing predictions, establishes new results multiple...
Safe and sustainable chemicals/materials are critical for achieving European green goals. The novel SSbD framework aims to harmonize assessments during innovation. Here, we discuss the essential role of FAIR data tools in operationalizing SSbD.
To facilitate the practical implementation of guidance on residue definition for dietary risk assessment, EFSA has organized an evaluation applicability existing in silico models predicting genotoxicity pesticides and their metabolites, including analysis impact metabolic structural changes. The prediction ability (Q)SARs vitro vivo tests were evaluated. For Ames test, all (Q)SAR generated statistically significant predictions, comparable with experimental variability test; instead,...
Quantitative structure-activity relationship (QSAR) models are powerful in silico tools for predicting the mutagenicity of unstable compounds, impurities and metabolites that difficult to examine using Ames test. Ideally, Ames/QSAR regulatory use should demonstrate high sensitivity, low false-negative rate wide coverage chemical space. To promote superior model development, Division Genetics Mutagenesis, National Institute Health Sciences, Japan (DGM/NIHS), conducted Second International...
Data generated using new approach methodologies (NAMs), including in silico, vitro, and chemico approaches, are increasingly important for the hazard identification of chemicals. Among NAMs, (quantitative) structure–activity relationship (Q)SAR models occupy a peculiar position by allowing (in principle) toxicity estimate on sole basis chemical structural information, leveraging upon profiles already tested chemicals (a training set). Consequently, metrics adopted estimation both congruence...
Currently, the public has access to a variety of databases containing mutagenicity and carcinogenicity data. These resources are crucial for toxicologists regulators involved in risk assessment chemicals, which necessitates all relevant literature, capability search across toxicity using both biological chemical criteria. Towards larger goal screening chemicals wide range end points potential interest, publicly available large spectrum data space must be effectively harnessed with current...