Basic Information

Gene Symbol
-
Assembly
GCA_947563765.1
Location
OX387408.1:4054879-4061892[+]

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 0.32 21 6.2 0.4 1 23 141 164 141 164 0.92
2 11 9.8 6.4e+02 1.5 0.0 2 12 201 211 200 214 0.86
3 11 5.6 3.6e+02 2.3 0.0 1 20 241 260 241 262 0.90
4 11 0.23 15 6.6 0.1 1 19 297 315 297 317 0.94
5 11 0.098 6.4 7.8 0.1 3 21 345 363 343 364 0.93
6 11 0.011 0.74 10.7 2.1 1 23 376 398 376 398 0.98
7 11 2.1e-07 1.4e-05 25.6 0.8 1 23 405 427 405 427 0.98
8 11 0.00076 0.049 14.4 0.2 1 23 433 455 433 455 0.98
9 11 0.008 0.52 11.2 0.0 1 23 461 483 461 483 0.95
10 11 5.8e-05 0.0037 18.0 0.1 1 23 489 511 489 511 0.98
11 11 4.6e-06 0.0003 21.4 0.9 1 23 517 540 517 540 0.97

Sequence Information

Coding Sequence
ATGATGTTTGACCCGCCGGATTATCCTTACAAGGATTTATCCGATACTCTTAGAGATCACTACGACCCAGATGATCTTTTGCTAAATGGACCTTCTCCAACAGATTCTGGGGCTAGCACGGGCCTAGCCGAAATTACAGAGCAAATGATAAACAGTGTCGAAAATCAGCTCTCATTTAATTCCAATGACTCAGGACGGTTTTTCAATGTTGAAAATACTCAATATTTAGAAAATACGATCAGTAATACCAACATACAAAACACTGAACTCTATATTGTACAATCTCCTGATAATATATTTAATTACGAACCTACTCTGTTAGATGAAAATACAATAAATCAATTTTTGTTACCGCTGAAAAATTCTGGAGAAAATAATAACAAGGACTCTGAAAACAATGGACCGGATCTGTTAGCTCTACATTCGTGTGTCATTTGCCACGATATTTTTACAACTGACGCAGACCTACTCGATCACACAATATTAGTGCATGCTTCAGTCAGCCCAACGGATAATGACCAAAACATTATAAGTAGAGAAGAGACAACACAGCCTGAGGTGTCGAGTTCATCGGCCCCCGATTTCGAGGCGGAGTGGCTCGTATGCTCCGTCTGCCAGAGAGTTTTATCTACAGCGTTAGAAATAGAGCCAAGTGAACAACTGTGTTGCAATGATGCAAGCGGCAAAAGCAACGTTTCACACAAGAAACTGCACACCATGTATGTGTGTGACTTTTGCAGCGGACTCTTCGCCGATGGAGAGGCGCTTGACAGACATCGACTCAACTGTTACGGCCCTGAACAACCTAACTCCTATTCTGAACAAATGGTTAGATTATTTTCTATTTTCAGCAGTTATTATGTTAGCATTAGCAGTCCTACGATGCAGTTCACATGCGATTCTTGCGGCAAACAGTTGGGGTCTGGTGAAGAGTTGAAGGCGCATAAAGTGGATTGCGGTCAAGTGCGGCCAGGCCCTAGGAGAGGCGAAAGGAAGGCGTACTCTACGAGCAATAGCAATAAGATGTGGAATTGCGGATCTTGTAATCAACTGTTTGCTACTGCTAGAGAGCTGTACCGCCACAAGCGCGGCGAGGACCGCCCGCCCGGCGCCCCGCTCATGGCGTACGTGTGTGAGGAATGCGACAAGGTTCTCGGCAGCATGTGCGCCTTGCATACCCATAAAAAGATGCACAAAGTTACTAAGCCGGGTTACCCATGCCGTGTCTGCGGACGACGTTTCAACCAATCAGGACATTTGGCTATCCACATGCGTATGCACACTGGAGAGAGACCATATCCATGCGATCTATGTCCTAAAGCTTTCAAAGTCAAGGTGGAGCGCGACGACCACCGTCGCACGCACACGGGCGAGCGACCCTTCGCCTGCGCCGCCTGCCCCAAGACGTTCACCGCCGCCGCACGGTTGCGTGAGCACGCGCGCATTCACACCGACCAGAGGCCTTACCAATGTGATATCTGCGGCGCGGCGTTCCGACGGCCGTACGCCCGCACTGTCCACACGCTCATACATACTGGGGAAAAACCACATGAATGCGACGTTTGTGGGACTGCTTTCAGACGTTCCGGCGATATGTGGAAGCACAAACGCACCCTCCACGGGATCCAGACGAGCGCTGACTAG
Protein Sequence
MMFDPPDYPYKDLSDTLRDHYDPDDLLLNGPSPTDSGASTGLAEITEQMINSVENQLSFNSNDSGRFFNVENTQYLENTISNTNIQNTELYIVQSPDNIFNYEPTLLDENTINQFLLPLKNSGENNNKDSENNGPDLLALHSCVICHDIFTTDADLLDHTILVHASVSPTDNDQNIISREETTQPEVSSSSAPDFEAEWLVCSVCQRVLSTALEIEPSEQLCCNDASGKSNVSHKKLHTMYVCDFCSGLFADGEALDRHRLNCYGPEQPNSYSEQMVRLFSIFSSYYVSISSPTMQFTCDSCGKQLGSGEELKAHKVDCGQVRPGPRRGERKAYSTSNSNKMWNCGSCNQLFATARELYRHKRGEDRPPGAPLMAYVCEECDKVLGSMCALHTHKKMHKVTKPGYPCRVCGRRFNQSGHLAIHMRMHTGERPYPCDLCPKAFKVKVERDDHRRTHTGERPFACAACPKTFTAAARLREHARIHTDQRPYQCDICGAAFRRPYARTVHTLIHTGEKPHECDVCGTAFRRSGDMWKHKRTLHGIQTSAD

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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