Basic Information

Gene Symbol
-
Assembly
GCA_951799465.1
Location
OX637282.1:3807313-3813555[-]

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 0.00051 0.032 14.8 1.0 2 23 207 229 206 229 0.95
2 9 0.64 40 5.0 2.0 1 23 261 284 261 284 0.95
3 9 0.6 37 5.1 2.6 1 23 321 344 321 344 0.95
4 9 4.9e-05 0.0031 18.0 4.7 1 23 348 370 348 370 0.96
5 9 6.6 4.1e+02 1.8 0.1 3 23 380 399 378 399 0.86
6 9 0.013 0.82 10.3 1.7 1 21 406 426 406 431 0.94
7 9 0.00018 0.011 16.2 3.3 1 23 439 462 439 462 0.96
8 9 0.0016 0.099 13.2 0.2 1 23 468 491 468 491 0.96
9 9 0.00033 0.021 15.4 1.9 2 23 531 553 530 553 0.95

Sequence Information

Coding Sequence
atgaaagttataaaattaatcacgTATAAACAGATTTGTTGCACATGTCTTAGCAGAAatagaaaaaattataaattaattcaaataaatgacGGCGTGAacgttttatacaatttactaTTTCACGATCGTGAATATAACCAAGATGGATTTACAAAAGATATAGCCAAATTATATGTGTGTTGGGAATGCAGAGAAATCATAAGGAAGATTATGAAATTCAAGAGTCAAGTATGTAAAGCGCAAAAAAGACTAGCATCACAAAGCAGTGATTGCATTGCTGTTGAATCTCTGGGAAATAGCCTATCCAGATTATCAACATTTACCGAAAATACAATTGACATAGTTAATTTAGATGAAGACGCACAATATCTACCTGAAGTTTTGAAAACAGAGGAACTACTAAGTAGTTATGATTGTAAACCTgcaatagaaaataaacaatcttCAAAAATGGTAACAAGACCAATAGACAATAATGAGACAgacaacataaaaattaaactaaattcatCTACATATGAAAACAAAGAATTCTATACCGTAATTAAGGCAAGTGAAATGGAAATTCAGATGGAGAAAAATGAAAAGAAGTTACATATAAACAGTGTTAGAATTAAGTGTGATATTTGCATTCAAAAATTCAAAGACAATAAATCTTTGAAGCGACATATCCTAAATACGCATACTCAGaGAAAAAACTATGTACACTGTGatgaatgtaataattatattaaaaaatccttATTAAATGAACATTGTGAGgatcataaacaatattatagatGTCAATTGtgtaatgaaattatatttcttaagaaATTGATGAAACATCATCTACAAGTAAATCACAAGAAAAGACCGGCTGAGTTTTATGTGCGAAAAACACCTTTTGTGAAAAATCCCGGTTCGAAACCAAGACTGTACCCCGCTATGAAAGATAAAGAAACTCGTCACGGCTATGCTTGTCCCGACTGTAACAatcattttttAACAAAACGGCTAAGGTACAATCACATACAAAAGCAACATCGCGAGGGCTTTAAATGTGAAGTTTGCTTCAAAGTTTTCAGTTTTAGGGCGCACCTCAAGAAACATCAATTTTTACACACACGGTTAGATCTAGACCGGGTGCCGTGTTTAAAATGCGGGATGTCGATTCGTATGGAAATGATGGATGCTCATATACAACGTCACGCTCAAAGGTCATACAAATTTGAGTGCACACCGTGCAGGAAGAGGTTCAAATCAAATGCGACGTATGATCAGCATATGAGGTATACTAAAGCCCATGCGACGAGGGATCTACGCAAATATAAATGTGATCATTGCGGCAAAGGGTACAGGTCTAAAGTTGAAGTTAGAGATCATATACACTATACGCACATGGGCAAAACTCAGCATGCATGTCCAATATGCAAAAAGcCTGtaccaacaaaaaaaagtatagcATATCACATAAAAACATGGCACAACTCAAAAAAAACTGATCACGTTAAGAGGGCAATGTGTCAAATATGTGGTCAGTTGTTTGGGTGCACAAAAATTCTGAGGGAACATATGTTGAGACATACCGGCGAACGACCTTTATCCTGCGAGATCTGTGGAAATACATTTAGACAGAAAGCTTGTTTGTACACACATAAAAGACTAGTACATAAGATATTATATCCGAAGAAAAAGCAAATCACACTAATACGATAA
Protein Sequence
MKVIKLITYKQICCTCLSRNRKNYKLIQINDGVNVLYNLLFHDREYNQDGFTKDIAKLYVCWECREIIRKIMKFKSQVCKAQKRLASQSSDCIAVESLGNSLSRLSTFTENTIDIVNLDEDAQYLPEVLKTEELLSSYDCKPAIENKQSSKMVTRPIDNNETDNIKIKLNSSTYENKEFYTVIKASEMEIQMEKNEKKLHINSVRIKCDICIQKFKDNKSLKRHILNTHTQRKNYVHCDECNNYIKKSLLNEHCEDHKQYYRCQLCNEIIFLKKLMKHHLQVNHKKRPAEFYVRKTPFVKNPGSKPRLYPAMKDKETRHGYACPDCNNHFLTKRLRYNHIQKQHREGFKCEVCFKVFSFRAHLKKHQFLHTRLDLDRVPCLKCGMSIRMEMMDAHIQRHAQRSYKFECTPCRKRFKSNATYDQHMRYTKAHATRDLRKYKCDHCGKGYRSKVEVRDHIHYTHMGKTQHACPICKKPVPTKKSIAYHIKTWHNSKKTDHVKRAMCQICGQLFGCTKILREHMLRHTGERPLSCEICGNTFRQKACLYTHKRLVHKILYPKKKQITLIR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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