Basic Information

Gene Symbol
ECU06_1150
Assembly
GCA_034766995.1
Location
CM068318.1:28341245-28345760[-]

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 9 8.3 1.2e+03 1.5 0.1 3 23 279 300 278 300 0.88
2 9 0.086 12 7.7 0.6 3 23 317 338 316 338 0.91
3 9 0.00017 0.024 16.2 2.0 1 23 366 388 366 388 0.99
4 9 1.5e-05 0.0021 19.6 0.3 1 23 394 417 394 417 0.96
5 9 1.8e-05 0.0025 19.3 0.2 1 23 423 445 423 445 0.97
6 9 9.5e-07 0.00013 23.3 1.2 1 23 451 473 451 473 0.98
7 9 0.00027 0.038 15.6 0.9 1 23 479 501 479 501 0.97
8 9 2.1e-06 0.0003 22.3 0.6 1 23 507 529 507 529 0.98
9 9 0.00036 0.051 15.2 1.6 1 23 535 558 535 558 0.95

Sequence Information

Coding Sequence
ATGAGCAATATAGCACCAAACAGTGAAAATGTTATTGAGTTAACTGAAGCCGGTATCATAGGACTTGAAACGCTATGTCGTCTGTGTGCAAATCGAACAGATCATCTAATACCAATATATGAAGGTGAAGGTGCAGAGCAtgaattagaaatgaaaatgaatcgTTACTTACCATTTAAAGTAGAACAATCACAGTCAATGCCTATGCATTGTTGTTATCAGTGTGCAAGTACTGTTTTACAGTGGCATGAACTTGTTGAAGTTAGTTTAGAAGCTAATCGAAGACTTCGAGCATTGCAAGAAGATGCTATAGTTCATTTAACACAAAAGTATCCTAAACCAGATGAAAATCCAGTAGGCTTAGAAATAGTATCAGATTCAACTTCAAAATCCAGTACTTCACACAAGCCCGCGCAGACACGAGCGGCCAGCCTGATATCATTCCGCCAAGCACAATCCAATTTTACTGTCGACTTCCTGAGCCAGAGTGATAAGTCTTTAACTTTACCATCTCGACCTTTGTCGTTGAATCGTCAAACACTATTGGACAATACCAAAAACAGTGAAATATCAGTACCCCAAAAAAATAAACGCGAATCGTCCAAGGATGGTTGTAATCGACTAAATGGAAAAACTAAAAAGGGTTTGGGATCAAAAGTACTCAAAAAAGATCTTGATTCGAATGTTTCCACATATACAGATTTGAGATGGCATTCAGAAAGTCATGATACattagtaaaaaaagaaatacttgtCAAAGAAGAATCAGCTGATAATCAAGAAGTCAAATTAGTTAAACATATAGAAACTAACAAAGCCGAGGAAGATACTTTATGCTTGATTTGTATGCAAGATTTTGGCACAGAAACTGATCTTGAAGATCATAGAGTTGAATATCATGCAGATGAATGTGAAATAGTTGATGGCAAAGCAGTGAAAAGGAAAATTTGTACGTGTTGTGCGAAAGTGTTCGCAACAAAGGCAGAAGTAAAAGCTCATAGACAATTGGAACATCCAGAAAGTCAGCAGAAGCGAAGTAAAACTGATCAAGAAGCTGTTCGTAAGGCAAAGGTTGTTGTCGAACAACGGACATATTATAGATGTAATGAGTGCGGAAAAAATTTACATTCTCCTTATACGTTTTTATGGCATCGTCGTATTCATACAGGTGAAAGACCGTTTGTTTGTGATTTATGTGGTAAGCAATTTCGAGTATCTCAAGGACTTGTGCGACATTTACGAGAAACTCATGCAGGTATAAAAAAGTTTGCTTGTGATATTTGTGAACGGTCTTTTGCAACAAGGCGAAATGTAGAAGAGCATCGAAGAATTCATACTAATGAGCGACCGTATGTTTGTGCACTTTGTGGAAAGGCATTCAAACAGAAGGCTTCATTGTTCGTGCATCATCGATCACATACAGATAGTTTCCCACATAAATGCAGCTATTGTGGACAAGGTTTCAGAACAAGACCCCCTTTGCTTGTTCATGTGACTCGTCATACTGGTGAAAAACCATATCCTTGTGATGTATGCGGTCGTCgttttcgtataaaatatgaGTTGAAACGTCATCGCTTAATTCACTCTGACGTGAAACCCTTTAAATGCATTGATTGTGGTGTTTCATTTCGTCAGAAACGCTATTTACgcaatcataataaaattaatcacaatAGACCGACTCCATGa
Protein Sequence
MSNIAPNSENVIELTEAGIIGLETLCRLCANRTDHLIPIYEGEGAEHELEMKMNRYLPFKVEQSQSMPMHCCYQCASTVLQWHELVEVSLEANRRLRALQEDAIVHLTQKYPKPDENPVGLEIVSDSTSKSSTSHKPAQTRAASLISFRQAQSNFTVDFLSQSDKSLTLPSRPLSLNRQTLLDNTKNSEISVPQKNKRESSKDGCNRLNGKTKKGLGSKVLKKDLDSNVSTYTDLRWHSESHDTLVKKEILVKEESADNQEVKLVKHIETNKAEEDTLCLICMQDFGTETDLEDHRVEYHADECEIVDGKAVKRKICTCCAKVFATKAEVKAHRQLEHPESQQKRSKTDQEAVRKAKVVVEQRTYYRCNECGKNLHSPYTFLWHRRIHTGERPFVCDLCGKQFRVSQGLVRHLRETHAGIKKFACDICERSFATRRNVEEHRRIHTNERPYVCALCGKAFKQKASLFVHHRSHTDSFPHKCSYCGQGFRTRPPLLVHVTRHTGEKPYPCDVCGRRFRIKYELKRHRLIHSDVKPFKCIDCGVSFRQKRYLRNHNKINHNRPTP

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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