Basic Information

Gene Symbol
-
Assembly
GCA_951802225.1
Location
OX637667.1:5372296-5377833[-]

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 0.0099 0.69 11.0 1.6 3 23 206 227 205 227 0.94
2 9 0.81 57 4.9 1.7 3 12 268 277 267 285 0.91
3 9 0.0058 0.41 11.7 0.2 3 21 293 311 292 312 0.94
4 9 3.8e-05 0.0026 18.6 1.5 2 23 336 357 335 357 0.97
5 9 1.4e-06 0.0001 23.0 0.8 1 23 366 389 366 389 0.98
6 9 0.0012 0.082 13.9 0.7 1 23 395 417 395 417 0.98
7 9 5.7e-06 0.0004 21.2 1.3 1 23 423 445 423 445 0.98
8 9 0.0012 0.087 13.8 1.4 1 23 451 473 451 473 0.92
9 9 9.6e-07 6.7e-05 23.6 3.2 1 23 479 502 479 502 0.98

Sequence Information

Coding Sequence
ATGGCTAAGCATTATTGCTGCTTTTGTGCCGAACCGAAAAGCTCTGAAAAGCTACTCCACATCGACACAGATCAACGAATTCGAGCTGAAACTGAACAGAAGTTGGCTACCCTCAACATTACTTTTCCTACTTACGTAAAAGATAGCAAATTCGTGCCTAGGACCGTTTGTTTAGTTTGCTGTGATGCTCTACACAAAGCCAGTGAATTTCTCGAGCGCTTCAAGAAAGCCCAGGTAGTTTTAGCAAGTATATACCCTGAAAAAAGTGTATCTAAAGATGCAGATTTTATATCCATTGGTACATCAATCAACAATGATGGACCTCATTCCGACGGTATtgatgaagatgatcagccctTGTCCTGTCTCGAATATAAAAagaaggcaaaaaaaaaagtcaaatcACTTGAGAAACAACAAGAAAGTATACCAACTATAAAATTAGAACTAAAAGATGATAATTCCAACTCTGGCTTTGATGACAGCTTAGATGTTCATTCATTACTTGGCGCTATTGGAGATGTGTCCATTGATCCTAATACCACTTTGTATGCCAAAGAAGTCAATGATATACCTAAGAAGTCGATAAAGTGTTGGTCTAGTTACACTTGGCTTTGTAAACACTGTAACATCATGTTTCCAACTTTGGATGTTCTGCGGAAGCACTCAAAAGAGCAACATAAGTGTTGTTTTGCGTTCACATGCATAGATTGTGACGAAGCAGTAGAGTTTAGTAAAGGAAATTCTTTTGAGGAATTCTTGAACCATGTCTCTAGTCACAGAAAAGCACTgcaGAACATCTGCCCATACTGCGATAAAAATTACAAGAACGAACCGAAACATATCCAGTCCCATTATCCTGAACCAAAAGAACCCTGTAAACTCTGCGGGGAGATACTGCGCAGTGAGAAGTCCTTAAAGAAACATTTAAAAGACTACATTGATGTCAAACAAAAGCGCAAAATGATAAAACGCAGAGGGCAGCCCTTAACTATACAGGACCTAACATGTGATATATGCaataaggtttataagaatcTAAATAGTCTTAGAGATCATAAGAAAAGGCATACAGTTGGTGTGAGAAAACGGGAGTACACTTGCGAGCAGTGCGGTAAAACATACTTTACTAAAGGCTCCCTTACCTCACACATTATGATGTTACATCAAAAAGTCAAGCCTTACAACTGTAGGATCTGCAACAAAGCATTCCTCTTCCCTAACATGTTGCgtagacacgtgcaaatgcaTTCTGCCTTAAAGCCCTTCACATGTGAACAGTGCGGACGTAATTTCCGAACAAAAAGACAAATGGAAAACCACCAAATAGTTCATACAGATTCAATGCCTTACGTCTGCAATTTCTGTGGTAAATCGTTCCGTTTCAAAGCGATCTTGCAGACTCATGAATATCAGCATACGGGCGTTAGACCGTACAGTTGCAAAGACTGCAGTCTGCAGTTTACGAATTGGTCTAACTTCAATAAGCATATGAAGAGAAGACACGGTAGGACTGTAGCTAAGAAGAAAATCACACCGTACGGTGTGTTCCCAATTGATCCGGAGACGGGGAAGGTGATCAATCAGGATGTGGAAAACTGCGAGGAGTGGAAGACTAAAGTAATGGCTCCTGTCAAACGGGGGAAAAAGAAGTTGATAGTAGAAAATGAAAGAAATGAAATCAAAAGCTTAAGTTAA
Protein Sequence
MAKHYCCFCAEPKSSEKLLHIDTDQRIRAETEQKLATLNITFPTYVKDSKFVPRTVCLVCCDALHKASEFLERFKKAQVVLASIYPEKSVSKDADFISIGTSINNDGPHSDGIDEDDQPLSCLEYKKKAKKKVKSLEKQQESIPTIKLELKDDNSNSGFDDSLDVHSLLGAIGDVSIDPNTTLYAKEVNDIPKKSIKCWSSYTWLCKHCNIMFPTLDVLRKHSKEQHKCCFAFTCIDCDEAVEFSKGNSFEEFLNHVSSHRKALQNICPYCDKNYKNEPKHIQSHYPEPKEPCKLCGEILRSEKSLKKHLKDYIDVKQKRKMIKRRGQPLTIQDLTCDICNKVYKNLNSLRDHKKRHTVGVRKREYTCEQCGKTYFTKGSLTSHIMMLHQKVKPYNCRICNKAFLFPNMLRRHVQMHSALKPFTCEQCGRNFRTKRQMENHQIVHTDSMPYVCNFCGKSFRFKAILQTHEYQHTGVRPYSCKDCSLQFTNWSNFNKHMKRRHGRTVAKKKITPYGVFPIDPETGKVINQDVENCEEWKTKVMAPVKRGKKKLIVENERNEIKSLS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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