Basic Information

Gene Symbol
-
Assembly
GCA_000475195.1
Location
CP125332.1:9828801-9839267[-]

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 0.0028 0.25 13.3 5.5 1 23 221 244 221 244 0.95
2 10 0.0038 0.34 12.9 1.1 1 23 251 274 251 274 0.94
3 10 0.00013 0.011 17.5 0.2 1 23 281 304 281 304 0.96
4 10 0.0059 0.52 12.3 1.1 1 23 337 359 337 359 0.98
5 10 3.8e-05 0.0033 19.2 0.6 1 19 365 383 365 388 0.91
6 10 5.9e-06 0.00052 21.7 0.5 1 23 394 416 394 416 0.97
7 10 1.4e-06 0.00012 23.7 0.7 1 23 420 442 420 442 0.97
8 10 0.00086 0.076 14.9 6.4 1 23 448 470 448 470 0.97
9 10 0.0012 0.1 14.5 5.5 1 20 477 496 477 499 0.93
10 10 0.0004 0.035 15.9 3.8 1 23 505 527 505 527 0.98

Sequence Information

Coding Sequence
ATGGCAGAAGAAGATCTGAATTGGACACCTAAACAGGACATGAGTCTCCTGTGTCGAGTGTGTGCAAACCAACACGACTATCTCATTCCAATCTTTGAAGGCGAAGGACTTGATCATGATATGCCCACCAAAATGGACAAGCATCTGCCCATCAAAGTGCGTGAAAATGACAAGCTACCAACCCAAATGTGTTACCAATGTGCCTCAACCATTATTGCATGGAGTGACCTTGTCACCAACTGCTTGGAAGCTGACAAGAAGCTGACTCGCATGTTGAAAATCAATGAGAAGAAGGCAGGGGCTGTGACAGATGATGATGCAGGCAGTGATCACTTTGAGGACGCTTATGATAATTCTGGTGGTGGTGACGATGATGAAGACTTTGAGAAAGAAATCAAACAGTTGATCTCGGATGCTGGTGTGGAAATTGGTGGTTCTTCTAAGGCGACTAAAGCCAAGTCCCCAAGAGCCTCTACAAGGAAGCGGAAATCTGAAGTTACTCCAGTGAAGAAGAGTGAGAGTAAGAAGGCCAAGTCTGATTCAAGTAGCAAGAGCAGCACTGCTCTTATCAAGCCCAAGGAAGAGGTCCAATCCGGTGATGACAGGTGTCAAGAAGACCCGGGCGGATCTAGTAATGATCTTGTAGACTCGCCGCGCTCTTATGAGTGTTATGAATGCGGTAAAACGTACCGCTATAAATGTCACGTGTCCAAACATATAAGCTTAACACATAGTGACACTGGGTTTAAGTATACATGCTCATTATGCGGACTCGAGCTTGTCAGGAGATGTGACTTGCGTAAGCATCGTATTCTAGAGCATTCGGATCAGACGAAACAATACCCATGTCCTGAATGTGGGCAGATATTCGGCCGTAACTTGGAACTTAGGAACCACAAAATACGTAAACACAAAATGGAACCAGAGCCCGAGGAATGTCGACCAGGGCGTCGGGCAGTGTCGGAACTATTCGCTAAGGCTAGGGTCTATGTGGATGGCTGCCTCATGCACAAGTGTCCGACATGCGAGATATTACTCAAGTCGAGTAAGTCCCTGCGGAATCATCTCCTTGTACATACAGGGGAGAAGCCATTCACTTGTGAAAAGTGCGGCAAACAATTCCGTACCGTGTCCCAGCTCAAAGTGCACGATAACATGATTCACCTAGGGCTTCGCCACTACAAGTGTAATGTGTGCAATAGGTCCTTCCCGAATAACACCGCTTTGAAAGAACATTTATCGGAACATGTCGGGGCGTTCATCTGTGAAACGTGCGGTAAATCATTCACTCGCAATTCCACTCTGAGTATGCATCGCATCGTCCACATAGAGCCACCAAAACACGAGTGTTGTGTGTGTAGTAAGAAATTTCATCGTCAGGATCAGCTCAATCGACATCTCGCCATACACAATCAGAACGCACGTCTGCATATGTGCGATATATGTCAGAAGAGTTTCAAAAGCAACTATGAGATGAAGCGGCATAGGCTATGTCATTCGGATGAGCGACCATTCACCTGTGATATCTGTCAGTCGAGTTTCAAGTTTACCAAACATTTAAAAGTTCATATGAAAGCCCATTACAGTAAAGTCAAAGTAGAGCGACGTATTAAATGCGAAGAGACACCCCACTACTTGCATCATTACATAGGTGATAGGATAGCCACTTAA
Protein Sequence
MAEEDLNWTPKQDMSLLCRVCANQHDYLIPIFEGEGLDHDMPTKMDKHLPIKVRENDKLPTQMCYQCASTIIAWSDLVTNCLEADKKLTRMLKINEKKAGAVTDDDAGSDHFEDAYDNSGGGDDDEDFEKEIKQLISDAGVEIGGSSKATKAKSPRASTRKRKSEVTPVKKSESKKAKSDSSSKSSTALIKPKEEVQSGDDRCQEDPGGSSNDLVDSPRSYECYECGKTYRYKCHVSKHISLTHSDTGFKYTCSLCGLELVRRCDLRKHRILEHSDQTKQYPCPECGQIFGRNLELRNHKIRKHKMEPEPEECRPGRRAVSELFAKARVYVDGCLMHKCPTCEILLKSSKSLRNHLLVHTGEKPFTCEKCGKQFRTVSQLKVHDNMIHLGLRHYKCNVCNRSFPNNTALKEHLSEHVGAFICETCGKSFTRNSTLSMHRIVHIEPPKHECCVCSKKFHRQDQLNRHLAIHNQNARLHMCDICQKSFKSNYEMKRHRLCHSDERPFTCDICQSSFKFTKHLKVHMKAHYSKVKVERRIKCEETPHYLHHYIGDRIAT

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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