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.
Reorganization of UniProtKB
With the current 2026_02 release, the UniProtKB database is reorganized to include an
expanded number of Reference Proteomes to better capture biodiversity.
This includes the removal of proteins from taxonomically unclassified organisms,
i.e., those without a binomial species name (genus and species). The total number of
accessions in UniProtKB has been reduced from 253,635,358 in the “legacy” 2025_03
release to 149,810,139 in the current 2026_02 release.
We are providing the option to select either the “legacy” 2025_03 database or the
current UniProtKB database (now 2026_02) when generating SSNs. You can select the
database in the “Database” accordion on the pages for the EFI-EST options, the EFI-GNT
tool, and the Taxonomy Tool. We suggest that you compare the SSNs, GNNs, and GNDs
generated from both databases as you explore the information you are seeking.
Because the “legacy” 2025_03 release contains UniProt IDs that are no longer active
on the UniProt web site, we provide the Metadata Tool
that provides access to the node attribute metadata for the UniProt IDs in the
“legacy” 2025_03 release.
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.