Basic Information

Gene Symbol
-
Assembly
GCA_963575645.1
Location
OY754475.1:19849228-19853562[-]

Transcription Factor Domain

TF Family
zf-C2H2
Domain
zf-C2H2 domain
PFAM
PF00096
TF Group
Zinc-Coordinating Group
Description
The C2H2 zinc finger is the classical zinc finger domain. The two conserved cysteines and histidines co-ordinate a zinc ion. The following pattern describes the zinc finger. #-X-C-X(1-5)-C-X3-#-X5-#-X2-H-X(3-6)-[H/C] Where X can be any amino acid, and numbers in brackets indicate the number of residues. The positions marked # are those that are important for the stable fold of the zinc finger. The final position can be either his or cys. The C2H2 zinc finger is composed of two short beta strands followed by an alpha helix. The amino terminal part of the helix binds the major groove in DNA binding zinc fingers. The accepted consensus binding sequence for Sp1 is usually defined by the asymmetric hexanucleotide core GGGCGG but this sequence does not include, among others, the GAG (=CTC) repeat that constitutes a high-affinity site for Sp1 binding to the wt1 promoter [1].
Hmmscan Out
# of c-Evalue i-Evalue score bias hmm coord from hmm coord to ali coord from ali coord to env coord from env coord to acc
1 17 0.00023 0.0046 17.8 2.9 1 23 237 259 237 259 0.99
2 17 1e-05 0.00021 22.1 1.8 1 23 265 287 265 287 0.99
3 17 3e-06 6.1e-05 23.8 4.8 1 23 293 315 293 315 0.99
4 17 7.9e-07 1.6e-05 25.6 2.7 1 23 321 343 321 343 0.99
5 17 5.8e-05 0.0012 19.7 6.3 1 23 349 371 349 371 0.99
6 17 2e-05 0.00041 21.1 2.3 1 23 377 399 377 399 0.99
7 17 1.7e-06 3.4e-05 24.5 3.9 1 23 405 427 405 427 0.99
8 17 0.00033 0.0067 17.3 8.6 1 23 433 455 433 455 0.99
9 17 1.1e-05 0.00022 22.0 2.9 1 23 704 726 704 726 0.98
10 17 4.3e-05 0.00088 20.1 5.5 1 23 732 754 732 754 0.99
11 17 1.3e-05 0.00027 21.7 4.0 1 23 760 782 760 782 0.99
12 17 1.1e-05 0.00023 22.0 2.5 1 23 788 810 788 810 0.99
13 17 0.00065 0.013 16.4 4.5 1 23 816 838 816 838 0.99
14 17 1.6e-06 3.2e-05 24.6 3.0 1 23 844 866 844 866 0.99
15 17 0.00014 0.0029 18.5 2.2 1 23 872 894 872 894 0.99
16 17 8.2e-06 0.00017 22.4 3.7 1 23 900 922 900 922 0.99
17 17 6.3e-06 0.00013 22.7 4.3 1 23 928 950 928 950 0.99

Sequence Information

Coding Sequence
ATGGAAGAAATATTGGTAAACAGATTCGACATAAGTGCAGCATGTCGACTGTGCTTATCAAGAGACGATGcaacattaaatatatttgactTTTCAACCAGATTAATGAACCAAGTGGCCGATGTAATTATGAAGTGTGCTCCGGTTCAGATAAAGAGATGCGATGAGATGCCGAATTTCATCTGCCAATCATGTAACAATCAACTGGAAAAAAGTCATCAGTTCCAGAAGCAAATAGTGCAGTCTGACCAGACACTGCGACTCCATCTACAGCAACTACGAACTTCTAACAAACAAATCAAGGTTGAATGTTCCAACCAGGGACATTCTGAagattatttaattcataacacTAATACAGATATCAAGATGAAATGTGAATCTTTAGAATTTCAAGACGTGCCTGATATAAATATCAACTTGAAAGAAGATGTGTCTTCAAATTATACTTCAGCATACAAAAACGaggaaatttatttaaaatctgaaattaaagaagAACCGATAGACGATTATTCATCAATTCCAACGGAGGGTACTGATAACTTAATAGACACATTATCTGCGGGCGACGACGACACTGAAAAAAAGTTAGACAATTCAGAAATCGAAGAACGATTGGGCAACTTCACGCGTCTTCCTCCTGCTGATATAACAGAAACCGTAGCTAAACGTGACGATGCAACCAAAAATGTTAGCGATAAGTCATATCAGTGTGGCACTTGTAATAAGTATTTCAACAAATTAGATACGTTGAGAAAACATAaacgcgtacatactggtgagaagccataccagtgtgacgtttgcaataagcGTTTTAGAGAATCAGGTCATTTGACAGGTCATCAACGCgtccatactggtgagaagccatataagtgtgaagtttgtaataaatgtttcaacaAGTCTGACACTTTGAGAAAACACCaacgcgtacatactggtgagaaaccatatcaatgtgacgtttgtaataagtgcttCAGCCAATTGGTTAATTTGACAACTCACCAGCGcgtacataccggtgagaaaccatatcagtgtgacgtttgtaacaaatGTTTCAGAGAATCGTGTAGTTTGAGAATACACCAGCGTACACATACgagtgagaagccatatcagtgtgagaTTTGCAAAAATAGTTTCAGCCAATTGGTTCATTTGACAACGCATCaacgcgtacatactggtgaaaaaccataccagtgtgacgtttgtaataaatgtttcagccATGCAAACAATTTGATATCACACCAACGtgtgcatactggtgagaagccatttcagtgtgacgtttgcaataagtgTTTTAGAGAATCGTGTCATTTGAGAAGTCATCAACGcgtgcatactgTAACATTTTGTAGAAGTAAAATTCGtataatggaaaaaataatgCTAAATGGCTTCGATGTAAGTACAATCTGTCGATTGTGCTTAACAAAAGGCGATGCTGTGTTTAGTATATTTGATTGTACAACCGAATCAATGGATCCAGTAGCCAATGTAATTATGAAGTGTGCTCCGGTTGAGATAACGCGATGCGACGAGATGCCGAATTTCATCTGCCAATCATGCAACACTCAACTGGAAAAAAGTCATCAGTTCCAGAAGCAAATAGTGCAGTCTGACCAGACACTGCGACTCCATCTACAGCAACTACGAACTTCTAACAAACAAATCAAGGTTGAATGTTCCAACCAGGGGCCGTCTGAGGATTCTTTAATTCATAACACTAGTGCAGATATCAAAGTTAAACGTGAACCTTCAGAATTTCAAGACGTGTCTGACATTAATGTCAACTTGAAAGAAGAGGCGCCTTCAAATTATACTGCAGTATACAACAGACACGaggaaatatatttgaaatctgaaattaaagaagAACCGATAGACGATTATTCATCAATTCCAGCGGAGGGTACGGATAACTTAATAGACACATTATCTGCGGGCGACGAATATAccaaaaaagagttaaaaaactgtaaaaaggaAGGACGATCGGTTAACTTACAGCGTCTTCTTCCTTCTGATTTAACAGAAAGTTTAGCTAAACGTGACGATGAAACCAAAAATACTTGTGAGAAGCTATTCGAGTGCGACACTTGTAATAAAAGTTTCAACAAATCAGATACCTTGAAAAAACATAAAcgtgtacatactggtgagaagccatatcggTGTGACGCTTGCAATAAGTGTTTTAGAGAATCGGGTCATTTGAAAAGACATCaacgcgtacatactggtgagaagccatatcagtgtgacgtttgtgagAAATGTTTCAACAAAACAGATTCTTTGAAAAAACACCAacgcatacatactggtgagaagccatatcagtgtaacgtttgtaataaatgtttcaatgAATCAGGCAAATTGACAATACACCAGcgtgtacatactggtgagaagccgtatcggtgtgacgtttgcaataagtgTTTCAGCGAATCGTGCGTTTTGAGAATACATCAGCGCATACATACTAGTGacaaaccatatcagtgtgacgtttgtaataaaagttTCAACCAATCAATTCATTTGAGAACACACCAGCgcatacataccggtgagaaaccatataggTGTGACGTTTGTGATAAGTGTTTCAATAAATCAGACATTTTGAGAATACATCAACGcgtacacactggtgagaagccgtatcggtgtgacgtttgtaataagtgtttcagcgAATCGGGTACTTTGAAAAAACATCGACGtgtacatactggagagaaaccgtatcaatgtagcgtttgtaagaagtgtttcagAGAATCAGGGACTTTGAAAAGACATCAAcgtgtacatactggtgagaaaccatattaG
Protein Sequence
MEEILVNRFDISAACRLCLSRDDATLNIFDFSTRLMNQVADVIMKCAPVQIKRCDEMPNFICQSCNNQLEKSHQFQKQIVQSDQTLRLHLQQLRTSNKQIKVECSNQGHSEDYLIHNTNTDIKMKCESLEFQDVPDININLKEDVSSNYTSAYKNEEIYLKSEIKEEPIDDYSSIPTEGTDNLIDTLSAGDDDTEKKLDNSEIEERLGNFTRLPPADITETVAKRDDATKNVSDKSYQCGTCNKYFNKLDTLRKHKRVHTGEKPYQCDVCNKRFRESGHLTGHQRVHTGEKPYKCEVCNKCFNKSDTLRKHQRVHTGEKPYQCDVCNKCFSQLVNLTTHQRVHTGEKPYQCDVCNKCFRESCSLRIHQRTHTSEKPYQCEICKNSFSQLVHLTTHQRVHTGEKPYQCDVCNKCFSHANNLISHQRVHTGEKPFQCDVCNKCFRESCHLRSHQRVHTVTFCRSKIRIMEKIMLNGFDVSTICRLCLTKGDAVFSIFDCTTESMDPVANVIMKCAPVEITRCDEMPNFICQSCNTQLEKSHQFQKQIVQSDQTLRLHLQQLRTSNKQIKVECSNQGPSEDSLIHNTSADIKVKREPSEFQDVSDINVNLKEEAPSNYTAVYNRHEEIYLKSEIKEEPIDDYSSIPAEGTDNLIDTLSAGDEYTKKELKNCKKEGRSVNLQRLLPSDLTESLAKRDDETKNTCEKLFECDTCNKSFNKSDTLKKHKRVHTGEKPYRCDACNKCFRESGHLKRHQRVHTGEKPYQCDVCEKCFNKTDSLKKHQRIHTGEKPYQCNVCNKCFNESGKLTIHQRVHTGEKPYRCDVCNKCFSESCVLRIHQRIHTSDKPYQCDVCNKSFNQSIHLRTHQRIHTGEKPYRCDVCDKCFNKSDILRIHQRVHTGEKPYRCDVCNKCFSESGTLKKHRRVHTGEKPYQCSVCKKCFRESGTLKRHQRVHTGEKPY

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
-