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.
RadicalSAM.org, our resource for investigating sequence-function space in the radical SAM superfamily, has been updated with sequences from the UniProt Release 2024_01 and InterPro Release 98 databases (January 24, 2024) !!

https://radicalsam.org

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Submission Name: IP91_RSS_UniRef90_NoFragments

Network Name: IP91_RSS_UniRef90_NoFragments_Actinobacteria_Minlen140_AS11

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

Analysis Summary

Analysis Job Number27228
Network NameIP91_RSS_UniRef90_NoFragments_Actinobacteria_Minlen140_AS11
Alignment Score11
Taxonomy CategoriesPhylum: Actinobacteria
Minimum Length140
Maximum Length50,000
Total Number of Sequences After Filtering27,953

Dataset Summary

EST Job Number26852 (Original Dataset)
Database VersionUniProt: 2022-04 / InterPro: 91
Input OptionFamilies (Option B)
Job NameIP91_RSS_UniRef90_NoFragments
E-Value for SSN Edge Calculation5
Pfam / InterPro FamilyIPR000385, IPR001989, IPR002684, IPR003698, IPR003739, IPR004383, IPR004558, IPR004559, IPR005839, IPR005840, IPR005909, IPR005911, IPR005980, IPR006463, IPR006466, IPR006467, IPR006638, IPR007197, IPR010505, IPR010722, IPR010723, IPR011101, IPR011843, IPR012726, IPR012837, IPR012838, IPR012839, IPR013483, IPR013704, IPR013848, IPR013917, IPR014191, IPR016431, IPR016771, IPR016779, IPR016863, IPR017200, IPR017672, IPR017742, IPR017833, IPR017834, IPR019939, IPR019940, IPR020050, IPR020612, IPR022431, IPR022432, IPR022447, IPR022459, IPR022462, IPR022881, IPR022946, IPR023404, IPR023805, IPR023807, IPR023819, IPR023820, IPR023821, IPR023822, IPR023858, IPR023862, IPR023863, IPR023867, IPR023868, IPR023874, IPR023880, IPR023885, IPR023886, IPR023891, IPR023897, IPR023904, IPR023912, IPR023913, IPR023930, IPR023969, IPR023979, IPR023980, IPR023984, IPR023992, IPR023993, IPR023995, IPR024001, IPR024007, IPR024016, IPR024017, IPR024018, IPR024021, IPR024023, IPR024025, IPR024032, IPR024177, IPR024521, IPR024560, IPR024924, IPR025895, IPR026322, IPR026332, IPR026335, IPR026344, IPR026346, IPR026351, IPR026357, IPR026401, IPR026404, IPR026407, IPR026412, IPR026423, IPR026426, IPR026429, IPR026447, IPR026482, IPR027492, IPR027526, IPR027527, IPR027559, IPR027564, IPR027570, IPR027583, IPR027586, IPR027596, IPR027604, IPR027608, IPR027609, IPR027621, IPR027622, IPR027626, IPR027633, IPR030801, IPR030837, IPR030894, IPR030896, IPR030905, IPR030915, IPR030933, IPR030950, IPR030969, IPR030977, IPR030989, IPR031003, IPR031004, IPR031010, IPR031012, IPR031014, IPR031015, IPR031019, IPR031691, IPR032432, IPR033971, IPR033974, IPR033975, IPR033976, IPR034165, IPR034386, IPR034391, IPR034405, IPR034422, IPR034428, IPR034436, IPR034438, IPR034457, IPR034462, IPR034465, IPR034466, IPR034471, IPR034474, IPR034479, IPR034480, IPR034485, IPR034491, IPR034497, IPR034498, IPR034505, IPR034508, IPR034514, IPR034515, IPR034519, IPR034529, IPR034530, IPR034531, IPR034532, IPR034534, IPR034547, IPR034556, IPR034557, IPR034559, IPR034560, IPR034687, IPR038135, IPR039661, IPR040063, IPR040072, IPR040074, IPR040081, IPR040082, IPR040085, IPR040086, IPR040087, IPR040088, IPR041582, IPR045375, IPR045567, IPR045784, PF04055, PF06969, PF08497, PF12345, PF13186, PF16199, PF16881, PF19238, PF19288, PF19864
Number of IDs in Pfam / InterPro Family773,531
Domain Optionoff
UniRef Version90
Number of Cluster IDs in UniRef90 Family353,296
Exclude FragmentsYes
Total Number of Sequences in Dataset353,296
Total Number of Edges2,606,430,086
Number of Unique Sequences353,296
Convergence Ratio?0.042
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
27,953 20,397,534

 

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 27,953 20,397,534
95 27,810 20,180,999
90 27,432 19,568,000
85 24,941 15,842,539
80 22,566 12,682,765
75 20,347 9,893,597
70 18,190 7,503,796
65 16,043 5,472,899
60 14,094 3,940,841
55 12,480 2,911,030
50 11,215 2,253,155
45 10,258 1,831,127
40 9,409 1,486,723

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

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