Basic Information

Gene Symbol
-
Assembly
GCA_029963825.1
Location
JAPWTJ010001199.1:37569-39574[+]

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 3.3 3e+02 3.0 0.5 1 18 146 163 146 163 0.92
2 11 0.0021 0.19 13.0 0.4 2 23 244 265 244 265 0.96
3 11 0.23 21 6.6 1.3 1 23 274 296 274 296 0.95
4 11 6.9e-05 0.0063 17.7 1.2 1 23 305 327 305 327 0.97
5 11 0.00019 0.017 16.3 2.7 1 23 335 358 335 358 0.98
6 11 0.021 1.9 9.9 4.2 1 23 367 389 367 389 0.98
7 11 0.041 3.8 8.9 1.5 1 23 397 419 397 419 0.98
8 11 0.027 2.5 9.5 2.5 1 23 427 449 427 449 0.97
9 11 0.0095 0.87 11.0 4.6 1 23 457 479 457 479 0.98
10 11 0.05 4.6 8.7 3.2 1 23 488 510 488 510 0.97
11 11 0.0015 0.14 13.4 1.2 1 23 515 537 515 537 0.99

Sequence Information

Coding Sequence
ATGGATATCTGTAGGTTGTGTTCGAGATGCGTCGACGACGAAAATTCTGTAGTCTTTAATGATATATACATAGAAATTCTTGAGGCTGTACTACTAGAAGTTaaCGTAGCAAAAAATGAAGGATGTCCAATATGTCATGACTGTTCCGTCAATctagaaaaatgttttcaattcaAAGCAGCGTGTTTGGTTTCGGAAGATGTTGTAAATCCTTATATCAGCTCTAGTAACAACAAAATGGATttgaaagatatttatttacttactaaCAATTTAGACGTGGTTCCAACGAACTGGAACGTTTGTCGGTTATGCTTACAGTGTATGAAGAACGAACTGTTTATTACTCTTAAAGAATTAACCGACGACTCCAATCTGAAGGATGCTTTACAGAAATATATCCCGGAAGTGAGAATGGAATCTACTTCTCAAGTTTTTGTATGCAAGTCATGCGTCCAATCTCTAAATAACAATTATAACTTTATAAGAATGTGTTTGGAAAATGAATCTAGACTAATTAGCGAGTTTACGTTTGAAAATATGGAAGACAGTATTTTGTATGAGCTGAACCTTTTTGATATCGATATGGAGAGTATGGCTGGGAATTTAGAAGACGCCGAGATGATAGAAGATAGTATCACAAAGGACCAGCCCAAAGTGGCGAAGAAGTACTGTGAAGAAATAAACCGGAAGTTAGCAATGTCCGTCCAGAAGAAAATTACGTTACCGACTTGCCCGATCTGCAGGCGTATATTCAAAAGTAAACTTGTCCTGGAGAAACATCGCGTAGTCCACCAGGACACTTCGAAAATACAGTTGCACGAATGCTCTTTATGTGATTTCAAGACTAGATATAAAATGTCTCTAGCCGGTCACTCTCTAGTCCACACCGACACGtcgaaattcaaaaaattcaaGTGCGAAACCTGCGGCTACGAGACCATACGAAAATCCAACTACAACAAGCACGTGGAGAACCACAAAGACCCATCGGAGGGAAAATACAAGTGCTCGCACTGCACCTTCGTGTCCACCAGATCCGACCTGCTGAAAATCCACCTTCTAACAACCCACGGGGATCCCTCCAAAGCTTACACCTACAATTGCGAACTTTGCACGTATAAAACGATGAGAAGGTACGACATGAAGCATCATATGATCAGGCACGGCGCCCAGCCCCCGCGTTTATATTCGTGCGAGCAGTGCCCGTACAAGTCGAGGTGGAGGAGGCTCTTAACGAACCACCAGATGAAGCACAAACCCCAGGAACAGGAGACTTTTATTTGTTTCCACTGTTCGAGGGAAATGAAAGTGAAGGCGCACCTCGTAAACCACATGCTTGTGCATAGGAAGTCGAAAAACGAACCGTTCAGGTGTGAGGAATGCCCTTTTAAGACCAAGTATAAGAAGCACTTCAAGGAACACGTGCTGTCTCACAAGGATCAGTCGGAGGTTACCATGCATAAATGCGACCTGTGTAACTACAAGTCTCGTTTTCCACGGTATGTCAAGCAACATATGGTCATGCATACTCGGACTAAATACAAGTGTGCAGAATGCCCGTTTGCTGCCAAAACACCGTCTTGTATCAAGAAACATATTAAACGCCATAAACAATCCATGTAA
Protein Sequence
MDICRLCSRCVDDENSVVFNDIYIEILEAVLLEVNVAKNEGCPICHDCSVNLEKCFQFKAACLVSEDVVNPYISSSNNKMDLKDIYLLTNNLDVVPTNWNVCRLCLQCMKNELFITLKELTDDSNLKDALQKYIPEVRMESTSQVFVCKSCVQSLNNNYNFIRMCLENESRLISEFTFENMEDSILYELNLFDIDMESMAGNLEDAEMIEDSITKDQPKVAKKYCEEINRKLAMSVQKKITLPTCPICRRIFKSKLVLEKHRVVHQDTSKIQLHECSLCDFKTRYKMSLAGHSLVHTDTSKFKKFKCETCGYETIRKSNYNKHVENHKDPSEGKYKCSHCTFVSTRSDLLKIHLLTTHGDPSKAYTYNCELCTYKTMRRYDMKHHMIRHGAQPPRLYSCEQCPYKSRWRRLLTNHQMKHKPQEQETFICFHCSREMKVKAHLVNHMLVHRKSKNEPFRCEECPFKTKYKKHFKEHVLSHKDQSEVTMHKCDLCNYKSRFPRYVKQHMVMHTRTKYKCAECPFAAKTPSCIKKHIKRHKQSM

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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