EFI - Enzyme Similarity Tool

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.

Download Network Files

Submission Name: IP91_IPR004184_NoFragments Bacteria UniRef90_NoFragments_IPR004184_Bacteria

Network Name: IP91_IPR004184_NoFragments_Bacteria_UniRef90_NoFragments_IPR004184_Bacteria_Minlen650_AS240

The parameters used for the initial submission and the finalization are summarized in the table below.

Analysis Summary

Analysis Job Number26616
Network NameIP91_IPR004184_NoFragments_Bacteria_UniRef90_NoFragments_IPR004184_Bacteria_Minlen650_AS240
Alignment Score240
Minimum Length650
Maximum Length50,000
Total Number of Sequences After Filtering5,419

Dataset Summary

EST Job Number26146 (Original Dataset)
Database VersionUniProt: 2022-04 / InterPro: 91
Input OptionAccession IDs (Option D)
Job NameIP91_IPR004184_NoFragments Bacteria UniRef90_NoFragments_IPR004184_Bacteria
Input Sequence SourceUniRef90
E-Value for SSN Edge Calculation5
No matches file
Number of IDs in Uploaded File6,429 (6,429 UniProt ID matches and 0 unmatched)
Taxonomy CategoriesBacteria
Family FilterIPR004184
Exclude FragmentsYes
Total Number of Sequences in Dataset6,418
Total Number of Edges18,077,707
Number of Unique Sequences6,418
Convergence Ratio?0.878
Please cite your use of the EFI tools:

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.

Full Network ?

Each node in the network represents a single protein sequence.

# Nodes # Edges
5,419 2,021,943


Representative Node Networks ?

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.

% ID # Nodes # Edges
100 5,419 2,021,943
95 5,390 1,987,868
90 5,302 1,878,667
85 4,613 1,201,837
80 3,934 717,327
75 3,395 400,907
70 2,899 202,804
65 2,499 95,145
60 2,159 38,269
55 1,938 21,069
50 1,783 14,816
45 1,685 13,036
40 1,551 11,871

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Portions of these data are derived from the Universal Protein Resource (UniProt) databases.

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