Basic Information

Gene Symbol
-
Assembly
GCA_947859335.1
Location
OX401972.1:2958042-2969156[+]

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 10 0.00048 0.031 15.0 0.1 3 23 237 258 235 259 0.95
2 10 0.88 56 4.8 0.1 3 23 281 302 279 302 0.93
3 10 9.4e-05 0.006 17.3 1.7 2 23 325 346 324 346 0.97
4 10 0.00052 0.033 14.9 0.2 1 23 350 372 350 372 0.98
5 10 0.0026 0.16 12.8 0.2 1 23 377 400 377 400 0.94
6 10 5.3 3.4e+02 2.3 0.3 3 21 408 426 407 429 0.82
7 10 3.2e-06 0.00021 21.9 1.2 1 23 436 459 436 459 0.97
8 10 5.7e-05 0.0036 18.0 1.4 1 23 465 487 465 487 0.94
9 10 1.2e-06 7.9e-05 23.2 1.5 1 23 493 515 493 515 0.99
10 10 2e-05 0.0013 19.4 3.6 1 23 521 544 521 544 0.98

Sequence Information

Coding Sequence
ATGAGCGGTGATAAAAGGAAAGGGCCGATTTTCGACCCCGGCCTTTGTCGGTGCTGCGGTGCAATGAAAAGATGCCGTGTATTAAACGTGGAATATCAATGCATGGGGCAGAAGGAGGTCTATGCTGATATGATCATAGACTGCTTTGGTATTATGCTATCTCACCTGGACACCAAACCCTCATCCCGCCTGATCTGTGCCACGTGCGTCTCCCGGTTACGGGAGGCGGTCGCGTTCCGAGCGCAAGTGCTGCGGTGTGAGGCTGTGTTCTTGCAGGTGCGGATGAGTGATGATGAAGCTGAAGAAAACCAAGCACGTCTTGAGGCATCAGCTAAACTCGAAGTGGAGGTCAAGACGGAGCCCCTGGAGCAAAGCAGCGTCGGCTCTCCCGCGCCTGACGACTTGCCTAACGACTACGATCTTCCTGATGACCCCAGCAATCCGCCTGATGACCCCAAGGAGATAGACCAGCCGATGGATGTGAAGGCTGAGTCGGACTCCGACGAGGCGCCGCTGCGGCCGCGCGCGCGACGGCGCAGCCCCCCCGCCCCCCGCGCCCGCCCGCCCCCGCCGCCCGCCCTTCCGATGTCGAAAGTCCAGCAACTGATGCGTGAACGAGACCCCTCGTACATGATCgacacgaatatcgtcaccgtcgtggagtgctcctacgtgtgtccattcaaatgtcggcacaaccatctgctctgctactactgcggagaaaactactcagaccctaccctacttagacagcatacaatctccaaccaccacccgaagaagttcaaagtcatagagcataagaagatgatcaagatggatttaacaaggatagattgtcgtctttgtcctgcgaagatcaatgatatagaagaattcaagcggcatataaccagtgttcacaataagaagtattacttcgactctaaagacttaattctaccattccggttgacttcgaacgatcaaaagtgcgcgttgtgtgacgagacgttcccgtattttcacgctttaaacaaacatatgaataagcatttcagtaattacgtatgtgagacatgtggcttaggttttgtggacaagggtcgttttgtgatgcatcagcaaaggcatgaggagggtgactttccctgtgaaacttgtgggaagattttcaaagcgcagtacaatagggatttacatatagatagagtacacaataagagggggagggtgttctgtccgaagtgtgatataaagttaatgtcttacacgcaaaagttgaagcatttagtggaagtgcacggtgaggagccgctgagtttctcatgtaatgtgtgtgataaagtgtttgggacgcggcggacgctgactatacatcggaggaaggatcatttgaaggACTACAGgtacgaatgccagtactgcggccagaaattttttacgcgcttcgctctgaacaaccacatgccaactcataccggagaacgaaacttcaaatgcaaagtgtgcgagaaaacctaccctcgactcaaaactcttaaggaccacatgagaatccatacaaatgatcgaagatacaggtgccacgtttgtgggcaggcgttcatacagaactgcagtctgaaggggcatatgaagagtcagcattctgagtatgggtaa
Protein Sequence
MSGDKRKGPIFDPGLCRCCGAMKRCRVLNVEYQCMGQKEVYADMIIDCFGIMLSHLDTKPSSRLICATCVSRLREAVAFRAQVLRCEAVFLQVRMSDDEAEENQARLEASAKLEVEVKTEPLEQSSVGSPAPDDLPNDYDLPDDPSNPPDDPKEIDQPMDVKAESDSDEAPLRPRARRRSPPAPRARPPPPPALPMSKVQQLMRERDPSYMIDTNIVTVVECSYVCPFKCRHNHLLCYYCGENYSDPTLLRQHTISNHHPKKFKVIEHKKMIKMDLTRIDCRLCPAKINDIEEFKRHITSVHNKKYYFDSKDLILPFRLTSNDQKCALCDETFPYFHALNKHMNKHFSNYVCETCGLGFVDKGRFVMHQQRHEEGDFPCETCGKIFKAQYNRDLHIDRVHNKRGRVFCPKCDIKLMSYTQKLKHLVEVHGEEPLSFSCNVCDKVFGTRRTLTIHRRKDHLKDYRYECQYCGQKFFTRFALNNHMPTHTGERNFKCKVCEKTYPRLKTLKDHMRIHTNDRRYRCHVCGQAFIQNCSLKGHMKSQHSEYG

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

90% Identity
-
80% Identity
-