APDB: a database on air pollutant characterization and similarity prediction
Eva Viesi1, Davide Stefano Sardina2, Ugo Perricone2,3
1Department of Computer Science, University of Verona, Strada le Grazie 15, Verona 37134, Italy.
Summary
Air pollutants harm health, affecting lungs, heart, and brain. A new database, APDB, details pollutant molecules and their toxicological effects, aiding research into environmental health impacts.
Area of Science:
- Environmental Science
- Toxicology
- Computational Chemistry
Background:
- Air pollution affects billions globally, posing significant health risks.
- Chronic exposure to pollutants can lead to lung inflammation, cardiac oxidative stress, and blood-brain barrier disruption.
- Understanding pollutant mechanisms is crucial for mitigating adverse health outcomes.
Purpose of the Study:
- To create a comprehensive online resource for air pollutant molecules.
- To facilitate the investigation of pollutant properties and their toxicological mechanisms.
- To support research on the association between air pollution exposure and human health effects.
Main Methods:
- Integrated data from the US Environmental Protection Agency and PubChem.
- Collected information on pollutant molecules, targets, and bioassays.
- Computed molecular descriptors and quantum mechanics properties for each molecule.
- Developed a web interface for data browsing, querying, and visualization.
Main Results:
- The Air Pollutant Database (APDB) provides detailed characterization of pollutant molecules.
- Users can browse, query, and visualize data including molecular structures and properties.
- Data is exportable in tabular and SQL formats for further analysis.
Conclusions:
- APDB serves as a valuable resource for researchers studying air pollution and its health impacts.
- The database aids in understanding the toxicological profiles and mechanisms of action of air pollutants.
- Facilitates research into the links between environmental pollutants and human health.
