Basic Information

Gene Symbol
-
Assembly
GCA_943735935.1
Location
CALSEV010000943.1:279799-295593[-]

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 0.017 1.9 10.3 2.3 1 23 114 136 114 136 0.98
2 9 4.6e-06 0.00053 21.5 1.6 1 23 142 164 142 164 0.99
3 9 3.5e-05 0.0039 18.8 0.3 1 23 170 193 170 193 0.97
4 9 0.027 3.1 9.7 7.4 1 21 199 219 199 221 0.95
5 9 3.4e-06 0.00039 21.9 1.8 1 23 227 249 227 249 0.99
6 9 2.6e-05 0.003 19.2 3.1 1 23 255 277 255 277 0.98
7 9 0.002 0.23 13.2 4.0 1 23 285 308 285 308 0.96
8 9 0.00026 0.03 16.0 0.3 2 23 315 336 314 336 0.97
9 9 9.4e-07 0.00011 23.7 3.0 1 23 355 377 355 377 0.98

Sequence Information

Coding Sequence
ATGGACAAAGTTACAGCATTTAAAAAAGCTTCTGAACTTCCAGTAATGAAAGTTGCTGCTGCCCTTGTTGTGCCAGAAAAGAAACGAAAAAATACAGCACAAGCCAGCTCTGCACCTGTTAACGAATCTAAACTTGAAACTAGCACAAGTAAGATATCAAAAACTAATAAGAATAGTGCAAAGGATTCAAAAGATACAAATGAAACAATTTCCTCAGATTTTGGTAATCAAGAAGAAGTTTATGAGTTCGATGAAATCAAACAAGATCCAGACCATCCACAAGAAATAAAAGGCGTTATTAAAAATGTAACAAAGACATCAGCAAAAGAAGCAGCATCATATACATGTATGATATGCTCATACGAAACAAATAAAAAAAATTTATTTTTGAGGCATTTAAAGTCACACTCCGTTGAGCGTCCTTATAGATGTTCTGTGTGTGAAAGAGGTTTTAAGACAAAGAACTCACTCATTAATCATCGAAACACACATTTAGGCTATAAGCCTTACTCATGTTCGAGTTGTGATATGGCCTTTACCACATCGGGAGCGTTGGTGCGACATGTGCGATATCGGCATACTCTCATAAAACCCCACAAATGTACTGAATGCGATTATTGCAGTGTAGAATTGAGTAAATTACGACGGCATATGCGGTGTCATACCAGCGAAAGACCTTATCAATGTCCCCACTGTACTTATGCTTTTCCGGATACATTGAAATTGAAACGACACATGCGCGTGCACACGGGCGAGAAACCATACGAATGTAACATTTGTCATGCTCGATTTACGCGGTCAAATTCTTTGAAAGATCATCGTCTTAAACATTCAGCCAACGGAAAGCTTGTTTTTCAGTGCCACCTTTGTCCCACCACTTGTGGACGTAAAACAGATTTACGTTTGCATGTAAAGAATTTACATAACTCTGATCAACCGATACCATGTAAGCGCTGTGGCAAAGAATTAGCCGATCGTTATACACTTAGGATGCATGTAAAGACGCATATAGAAGAAGAGAAACGTCATCGTATTAAATCATCACCAATAGGTAAAAAGGATCATAAGTGTCCGCATTGTAAAAGATCTTTTGCATTTAATGGAAATCTTATACGTCATATGGAAATACATGCACCATTTTCGCGGTTGTTTGAAAAAAAGGAAATGTTAAAAATTGGGCGCACGAAACAAGTTCAACCTGATAGGACCGTTGTCGATAACAATTTGGTGGCGCTTTCTGAAGAAAATGAGGAACAACAAGCCGAGGATGAAGAAATACAAGAAGAAGCCGAAGCAAGAGAAGAATTTAAAGTACATGTCAAAGAAGAATACGAAAATTTTGAAGGGTTTTTTAAAGAATATGAAGAACAACAACCTAAGATTGAAGAATTAAAAGAAGAGGACAAATCAGCAGAAGAGTATGAAGATATAATAGATATAAAAGAGGAAAAAATGCAAACAATAGATATTGGTCAGTCAGACTTTAAGGAATCCATTACAGTAAAGGCTGGCGGCGATAGTGATGATTTTGAAATAATGTCTTTAATAGTACGTGATGATCAAGGTTTAATGGTTATAGACGCTTTGCCTGACGACGATGATGATAAATTAGAACAACAACAGCCACCTGAAGAGTTAAAAAAAGAATGGCCAGAAGATGATGACGACGAAGAAACCAAAGGAGCTATTAAATTTTTGGAGATAATTGTACAAGAATAA
Protein Sequence
MDKVTAFKKASELPVMKVAAALVVPEKKRKNTAQASSAPVNESKLETSTSKISKTNKNSAKDSKDTNETISSDFGNQEEVYEFDEIKQDPDHPQEIKGVIKNVTKTSAKEAASYTCMICSYETNKKNLFLRHLKSHSVERPYRCSVCERGFKTKNSLINHRNTHLGYKPYSCSSCDMAFTTSGALVRHVRYRHTLIKPHKCTECDYCSVELSKLRRHMRCHTSERPYQCPHCTYAFPDTLKLKRHMRVHTGEKPYECNICHARFTRSNSLKDHRLKHSANGKLVFQCHLCPTTCGRKTDLRLHVKNLHNSDQPIPCKRCGKELADRYTLRMHVKTHIEEEKRHRIKSSPIGKKDHKCPHCKRSFAFNGNLIRHMEIHAPFSRLFEKKEMLKIGRTKQVQPDRTVVDNNLVALSEENEEQQAEDEEIQEEAEAREEFKVHVKEEYENFEGFFKEYEEQQPKIEELKEEDKSAEEYEDIIDIKEEKMQTIDIGQSDFKESITVKAGGDSDDFEIMSLIVRDDQGLMVIDALPDDDDDKLEQQQPPEELKKEWPEDDDDEETKGAIKFLEIIVQE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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