This web resource is supported by a Research Resource from the National Institute of General Medical Sciences (R24GM141196-01).
The tools are available without charge or license to both academic and commercial users.
Important Notice
The UniProtKB database used by the EFI tools is undergoing major reorganization
starting with the just-released version 2025_04
(https://www.uniprot.org/help/refprot_only_changes).
When the reorganization is
fully implemented (2026_02 release, Spring 2026), the number of proteins in
UniProtKB will decrease from ~253M accessions in the previous 2025_03 release
to ~141M accessions in the 2026_02 release.
In response to these changes, we will provide the previous 2025_03 release
until the 2026_02 release is available.
The current 2025_04 release removed 82M UniProt IDs; the UniProt pages
providing functional annotation for these IDs are no longer active. A new
Metadata Tool
provides access to the node attribute metadata for all UniProt
IDs in the 2025_03 release that the tools continue to use during the UniProtKB
reorganization. The Tool is available using the tab at the top of each page.
More information about the reorganization is located here.
Rémi Zallot, Nils Oberg, and John A. Gerlt, The EFI Web Resource for Genomic Enzymology Tools: Leveraging Protein, Genome, and Metagenome Databases to Discover Novel Enzymes and Metabolic Pathways. Biochemistry 2019 58 (41), 4169-4182. https://doi.org/10.1021/acs.biochem.9b00735
Nils Oberg, Rémi Zallot, and John A. Gerlt, EFI-EST, EFI-GNT, and EFI-CGFP: Enzyme Function Initiative (EFI) Web Resource for Genomic Enzymology Tools. J Mol Biol 2023. https://doi.org/10.1016/j.jmb.2023.168018
The panels below provide files for full and representative node SSNs for download
with the indicated numbers of nodes and edges. As an approximate guide, SSNs with
~2M edges can be opened with 16 GB RAM, ~5M edges can be opened with 32 GB RAM,
~10M edges can be opened with 64 GB RAM, ~20M edges can be opened with 128 GB RAM,
~40M edges can be opened with 256 GB RAM, and ~120M edges can be opened with 768 GB RAM.
Files may be transferred to the Genome Neighborhood Tool (GNT), the Color SSN utility,
the Cluster Analysis
utility, or the Neighborhood Connectivity utility.
In representative node (RepNode) networks, each node in the network represents a collection of proteins grouped
according to percent identity. For example, for a 75% identity RepNode network, all connected sequences
that share 75% or more identity are grouped into a single node (meta node).
Sequences are collapsed together to reduce the overall number of nodes, making for less complicated networks
easier to load in Cytoscape.
The cluster organization is not changed, and the clustering of sequences remains identical to the full network.