article Open AccessTop 1% cited
Extended Functional Groups (EFG): An Efficient Set for Chemical Characterization and Structure-Activity Relationship Studies of Chemical Compounds
Molecules · 2015 · Vol. 21(1) · pp. 1–1
E.S. Salmina(TU Bergakademie Freiberg)N. Haider(University of Vienna)Igor V. Tetko✉(Helmholtz Zentrum München)
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.
Computational Drug Discovery MethodsAnalytical Chemistry and ChromatographySynthesis and biological activityChemical structureCharacterization (materials science)Structure–activity relationshipSet (abstract data type)ChemistryMaterials scienceComputer scienceNanotechnologyOrganic chemistryBiochemistry
MeSH terms
SoftwareStructure-Activity RelationshipDatabases, Chemical
Citations
1,043
FWCI
125.50
field-weighted impact
References
31
Percentile
100%
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Citations per year
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References
Group‐contribution estimation of activity coefficients in nonideal liquid mixtures
AIChE Journal · 1975 · 3,258 citations
Random Forests
Machine Learning · 2001 · 121,242 citations
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