Extended Functional Groups (EFG): An Efficient Set for Chemical Characterization and Structure-Activity Relationship Studies of Chemical Compounds
TU Bergakademie Freiberg · University of Vienna · +1 more institution
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Abstract
The article describes a classification system termed "extended functional groups" (EFG), which are an extension of a set previously used by the CheckMol software, that covers in addition heterocyclic compound classes and periodic table groups. The functional groups are defined as SMARTS patterns and are available as part of the ToxAlerts tool (http://ochem.eu/alerts) of the On-line CHEmical database and Modeling (OCHEM) environment platform. The article describes the motivation and the main ideas behind this extension and demonstrates that EFG can be efficiently used to develop and interpret structure-activity relationship models.
Citation impact
1,044
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- FWCI
- 125.00
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- 100%
- References
- 31
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Authors
3Topics & keywords
Topics
Keywords
- Chemical structure
- Characterization (materials science)
- Structure–activity relationship
- Set (abstract data type)
- Chemistry
- Materials science
- Computer science
- Nanotechnology
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