Basic Information

Gene Symbol
-
Assembly
GCA_963969555.1
Location
OZ018376.1:19135850-19140584[-]

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 11 1.7 3.2e+02 4.2 0.1 5 16 78 89 76 91 0.88
2 11 0.0015 0.28 13.8 0.2 2 21 249 268 248 269 0.94
3 11 6.4e-05 0.012 18.1 1.1 1 23 276 298 276 298 0.94
4 11 0.0016 0.3 13.7 1.3 1 23 302 324 302 324 0.96
5 11 2.9e-06 0.00053 22.4 0.1 1 23 330 352 330 352 0.98
6 11 1.2e-06 0.00023 23.5 1.7 1 23 358 380 358 380 0.99
7 11 1.2e-06 0.00022 23.6 3.3 1 23 386 409 386 409 0.97
8 11 0.001 0.19 14.3 1.2 1 23 415 437 415 437 0.92
9 11 0.001 0.19 14.4 0.3 1 23 443 466 443 466 0.96
10 11 0.00013 0.024 17.2 4.6 1 23 478 500 478 500 0.98
11 11 6.6 1.2e+03 2.4 0.3 3 22 506 525 505 525 0.90

Sequence Information

Coding Sequence
ATGACAGAAAAAAGTACAGTGGAAAGAAAAAGCAGAAACATTTTCTTTGACAGAAAATATGTGTTGAACAACGATTTAAATAAACTGgaagaaaaaaacctaaaaactaTTTGCAGATTATGTCTCACAGATGAGCATTCTTTACACGAAATGTATGGAACAACGCTGCTTTCTAAGATTCAATATTGTTTGAATATAAagATATTACCCCAGGATCAATTGCCCACTGGAATCTGCACAAAATGCTTTCGACAATTAATGAATCtctatacctttaaaaaaaaggcAGAAAAGAATGACAGAGTCTTAAAAAAGGTCATCAGACATTGGTCAATAACAAAAGATATTATTAATATAGCTCTGGAAAAGTCAGATATAAATATTACAGATTTAAACGATACAAaaaaaggtgaaaaaataatcaaaaatgaaCTTCGAGAATTTGACAACAATGTTGCAAATTTTTATAGGTCAGAACTTTGTAATGATATTCAAGACTTTGGTTTAAGACCTTTGCAACCTATCCGGGGACAACAGGACGAGGACTCGTTTTGTCTAAATTATAGTATTGAACCTCCACCTTTAGTACCACTACACTCAAATTCTAATGaaaaaaacattacaaatattttggAACACAACAGtataatttctaaaaacttttcaaatggTATCAGCATTTTAGAACCGCCACCTTTAGTACCAATAGAAATTGTTGAACAGAAAAATGCATCTGAAAAACTGTCTTGCAATATATGTGCAAAGAAATTTGGATCTTTAACATACCTTAAAGAGCATATGAAAATAAACTGTATATTAAACTACCACAGTTGTAACATTTGCAAGAAAAGCTTTGATGATCAAAAAAAGCTGGCTGTTCATTTAGATGGACACAAAAAAGAATACTTAtgtaatatttgtggaaaacgATATTTAACACGCAGTACATTCATAGTCCATTTTCGAAGCCATACAGGGGAAAGGCCTTTTAATTGTAACATTTGTGGTAGAGGTTTTGTAAGATGGGCAGGTGTTAAAAATCATATGAAAATACATGAAGATTTTAGACCTTATAAGTGTGAAACTTGTGGCAAACAATTTAAAgTCGTTTCAAATTTATACAGGCATCAAAGACTACACACAGGGAATTCTACATTCAACTGTAATTTTTGTGGTAAAGCATTCTATCAATCAGagcatttaaaattacatattcGTACATATCACACCCATGAAAAGCCCTATTTATGCTGTGAATGTGGAAAAGGATTTGTAAGTTCTCAAAGACTAAAAAGACATGAAGGTGTGCACTCGGGACAAAAACCATACCCTTGTGCTTTATGTTTCAAAGCTTACACAAGTGCAATTGATTTAAAACATCATGTCTTAAGGattcataataaaaatggaaatagAGATGAACTCAAGAAATATGCTTGTTCAAAGTGTGGATTAAGGTTTAGACATCCCTGTAGgttaacAAATCACATGAAAATTCACTCCCACCATAAAATTTGCCAAGCATGTGGTGATACTTTTCAGAGTAAACAAGCTTTTGACAGACATTCAAAAACTTGTAAAAATGTGTGTGTCGAAGCTCAAACAAGTTAA
Protein Sequence
MTEKSTVERKSRNIFFDRKYVLNNDLNKLEEKNLKTICRLCLTDEHSLHEMYGTTLLSKIQYCLNIKILPQDQLPTGICTKCFRQLMNLYTFKKKAEKNDRVLKKVIRHWSITKDIINIALEKSDINITDLNDTKKGEKIIKNELREFDNNVANFYRSELCNDIQDFGLRPLQPIRGQQDEDSFCLNYSIEPPPLVPLHSNSNEKNITNILEHNSIISKNFSNGISILEPPPLVPIEIVEQKNASEKLSCNICAKKFGSLTYLKEHMKINCILNYHSCNICKKSFDDQKKLAVHLDGHKKEYLCNICGKRYLTRSTFIVHFRSHTGERPFNCNICGRGFVRWAGVKNHMKIHEDFRPYKCETCGKQFKVVSNLYRHQRLHTGNSTFNCNFCGKAFYQSEHLKLHIRTYHTHEKPYLCCECGKGFVSSQRLKRHEGVHSGQKPYPCALCFKAYTSAIDLKHHVLRIHNKNGNRDELKKYACSKCGLRFRHPCRLTNHMKIHSHHKICQACGDTFQSKQAFDRHSKTCKNVCVEAQTS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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