APDB: a database on air pollutant characterization and similarity prediction

The World Health Organization estimates that 9 out of 10 people worldwide breathe air containing high levels of pollutants. Long-term and chronic exposure to high concentrations of air pollutants is associated with deleterious effects on vital organs, including increased inflammation in the lungs, oxidative stress in the heart and disruption of the blood-brain barrier. For this reason, in an effort to find an association between exposure to pollutants and the toxicological effects observable on human health, an online resource collecting and characterizing in detail pollutant molecules could be helpful to investigate their properties and mechanisms of action. We developed a database, APDB, collecting air-pollutant-related data from different online resources, in particular, molecules from the US Environmental Protection Agency, their associated targets and bioassays found in the PubChem chemical repository and their computed molecular descriptors and quantum mechanics properties. A web interface allows (i) to browse data by category, (ii) to navigate the database by querying molecules and targets and (iii) to visualize and download molecule and target structures as well as computed descriptors and similarities. The desired data can be freely exported in textual/tabular format and the whole database in SQL format.

Automated summary

The World Health Organization estimates that 9 out of 10 people worldwide breathe air containing high levels of pollutants, which can have detrimental effects on vital organs. In order to investigate the link between pollutant exposure and human health effects, the development of an online resource collecting and characterizing pollutant molecules could be beneficial. The APDB database was created to collect air-pollutant-related data from various online resources, including molecules, targets, bioassays, and computed properties. The database provides a web interface for browsing, querying, and visualizing the data.