OPERA models for predicting physicochemical properties and environmental fate endpoints
Abstract The collection of chemical structure information and associated experimental data for quantitative structure–activity/property relationship (QSAR/QSPR) modeling is facilitated by an increasing number of public databases containing large amounts of useful data. However, the performance of QS...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-03-01
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Series: | Journal of Cheminformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13321-018-0263-1 |