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_RSS_NoFragments Firmicutes UniRef90_NoFragments_RSS_Firmicutes

Network Name: IP91_RSS_NoFragments_Firmicutes_UniRef90_NoFragments_RSS_Firmicutes_Minlen140_AS11

SSN Overview
Network Files

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

Analysis Summary

Analysis Job Number	26644
Network Name	IP91_RSS_NoFragments_Firmicutes_UniRef90_NoFragments_RSS_Firmicutes_Minlen140_AS11
Alignment Score	11
Minimum Length	140
Maximum Length	50,000
Total Number of Sequences After Filtering	52,421

Dataset Summary

EST Job Number	26174 (Original Dataset)
Database Version	UniProt: 2022-04 / InterPro: 91
Input Option	Accession IDs (Option D)
Job Name	IP91_RSS_NoFragments Firmicutes UniRef90_NoFragments_RSS_Firmicutes
Input Sequence Source	UniRef90
E-Value for SSN Edge Calculation	5
No matches file
Number of IDs in Uploaded File	53,288 (53,288 UniProt ID matches and 0 unmatched)
Taxonomy Categories	Phylum: firmicutes
Family Filter	IPR000385, 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
Exclude Fragments	Yes
Total Number of Sequences in Dataset	53,019
Total Number of Edges	72,620,043
Number of Unique Sequences	53,019
Convergence Ratio?	0.052

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
	52,421	61,254,499

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	52,421	61,254,499
95	52,322	61,027,367
90	51,997	60,368,121
85	48,584	52,799,557
80	45,111	45,651,800
75	41,706	39,267,401
70	38,328	33,390,845
65	34,653	27,302,625
60	30,844	21,660,254
55	26,767	16,317,931
50	22,534	11,346,902
45	18,744	7,451,574
40	15,448	4,619,845

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

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