Articles | Volume 18, issue 3
https://doi.org/10.5194/acp-18-2329-2018
https://doi.org/10.5194/acp-18-2329-2018
Research article
 | 
16 Feb 2018
Research article |  | 16 Feb 2018

Evaluating the mutagenic potential of aerosol organic compounds using informatics-based screening

Stefano Decesari, Simona Kovarich, Manuela Pavan, Arianna Bassan, Andrea Ciacci, and David Topping

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Cited articles

Alves, D. K. M., Kummrow, F., Cardoso, A. A., Morales, D. A., and Umbuzeiro, G. A.: Mutagenicity Profile of Atmospheric Particulate Matter in a Small Urban Center Subjected to Airborne Emission From Vehicle Traffic and Sugar Cane Burning, Environ. Mol. Mutagen., 57, 41–50, 2016.
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Barale, R., Giromini, L., Del Ry, S., Barnini, B., Bulleri, M., Barrai, I., Valerio, F., Pala, M., and He, J.: Chemical and Mutagenic Patterns of Airborne Particulate Matter Collected in 17 Italian Towns, Environ. Health Perspect., 102, 67–73, 1994.
Benfenati, E.: In Silico Methods for Predicting Drug Toxicity, in: Methods in Molecular Biology, Vol 1425, Humana press – Springer Science+Business Media: New York, 2016.
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Short summary
Particulate matter (PM) chemical composition includes thousands of individual organic compounds that have never been tested for their toxicological potential. Computational (in silico) screenings represent a promising approach to identify new target compounds for more in-depth toxicological analyses. We provide here a proof-of-concept evaluation based on ca. 100 aerosol organic compounds. Reliable toxicological predictions were obtained for more than 80 % of them.
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