Biodegradability prediction
Biodegradability prediction is
REACH proposal).[citation needed
]
Example:
- Development of quantitative structure-activity relationship (QSARs) for biodegradation, for instance, biochemical oxygen demand for chemicals released into the environment with the aid of machine learning and other artificial intelligence methods.[1]
- The University of Minnesota Biocatalysis and Biodegradation Database (UM-BBD), which contains information on microbial biocatalytic reactions and biodegradation pathways for primarily xenobiotic, chemical compounds. One of its many features allows the prediction of microbial catabolic reactions using substructure searching, a rule-base, and atom-to-atom mapping.
See also
- Anaerobic digestion
- Biodegradation
- Composting
- Landfill gas monitoring
- List of environment topics
- List of ecology topics
- Petersen matrix
References
- ^ Artificial Intelligence & biodegradability paper James R. Baker, Dragan Gamberger, James R. Mihelcic and Aleksandar Sabljić (2004) "Evaluation of Artificial Intelligence Based Models for Chemical Biodegradability Prediction", Molecules , 9, 989-1004