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The Enzyme Function Initiative (EFI) is developing a robust sequence / structure based strategy for facilitating discovery of in vitro enzymatic and in vivo metabolic / physiological functions of unknown enzymes discovered in genome projects. More »


Integrated Strategy



Determining the functions of enzymes discovered through genome sequencing is a major challenge in contemporary biology.  The EFI is using a multi-disciplinary superfamily-based approach for functional assignment that will be applicable to enzymes of all classes.  More »




Using bioinformatic analyses, superfamily member sequences (colored circles) are clustered into discrete groups and visualized in sequence similarity networks. Clusters are evaluated for unknown functions to aid selection of targets for the EFI pipeline.  More »





Structures for targeted enzymes are obtained either by x-ray crystallography or homology modeling.  The structures serve as templates for docking of in silico libraries during virtual screening and enable functional predictions to guide activity screening.  More »




A variety of in vitro biochemical assays are used to test the computational predictions generated for EFI targets.  Results are used to guide further experiments, such co-crystallization with ligands, and to evaluate the computational methods being developed.  More »




A combination of thorough in vitro analysis and in vivo approaches such as genetic, phenotypic, and metabolomic analysis (as available) cumulates in assigned functions for characterized EFI targets.  Annotations are transferred to receptive public databases.  More »


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New EFI-EST - A web-based sequence similarity network tool from the EFI. More »

New Resource - View the list of organisims investigated by the Microbiology Core. More »

New Dockovalent - The Computation Core releases new docking tool.   More »

New Publications - 8 EFI publications added for 2015.   More »