Basic Information

Gene Symbol
-
Assembly
GCA_905147385.1
Location
LR990252.1:6642734-6645791[+]

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 12 0.011 0.97 10.7 1.0 2 23 66 87 65 87 0.95
2 12 6.1e-05 0.0055 17.8 1.3 1 23 93 116 93 116 0.97
3 12 0.0001 0.0093 17.1 2.0 1 23 134 156 134 156 0.99
4 12 0.002 0.18 13.0 3.3 1 23 162 184 162 184 0.98
5 12 0.0066 0.59 11.4 1.4 1 23 190 213 190 213 0.97
6 12 4.9 4.4e+02 2.4 0.5 2 21 222 241 221 242 0.89
7 12 0.52 46 5.4 5.8 1 23 331 353 331 354 0.93
8 12 0.07 6.3 8.2 0.6 1 20 362 381 362 383 0.91
9 12 0.41 37 5.7 2.1 3 23 392 412 390 412 0.96
10 12 0.00039 0.035 15.3 6.7 1 23 415 438 415 438 0.97
11 12 0.46 41 5.6 1.5 2 23 444 465 443 465 0.86
12 12 0.0047 0.42 11.9 3.1 1 23 471 494 471 494 0.98

Sequence Information

Coding Sequence
ATGGCAGAAGTTGAATCAAAGAGTGACAACACTTGTGACATGGACAATGTGGTTCAGTCCGAGGAGCAGGACACAGATATGATGAACATGTTTGCCAGTGTCTGGGTCAAGGTTGAGGTGGATGGGGACTCTGATGACGATAAGAGAATGTCTAGAAAAAGGAAATGCAAAAAGAAAAAATCATCAAAAATACTTACTTGCGAGTTGTGCAACTATACAACATCTTACAAGAACTGTCTAGAACTACACATTGCTGGGCATAATGATAACAAACCTTTCTCTTGTACTTTATGCGACTACACCACTAAGTACCCCACCTCCCTGCAGCGGCATTTAATGATAAAACATCAGGCCAAGGAGTCAGCTTTGACCGACGAAGACAAGAAATCCATGCAGATATACAAGTGTGAGGATTGTGACTATACTACATACTTTAGATGGAATTTAAGTGCACACAAACGGAAGCACAACATAGAGAAACAATTCAAATGTCCGCAGTGTAACTATGCAACAGCGTACAGACACAATTTCTTGAAACATAGTAAAGTACACAACGAGGGAGTGTTTTATAAATGTGATAAATGCCCCTTTGTCACTAAATTTGAAGGACACATAACTCGACATTTGGCTAAAATACACAATGAGGTTACCGAGAAAGCCAATAAGTGTGATTTCTGTGATTTTTCTACCATGGTTCGGTGGAGGTTGAATGTTCATAAACAGAGAAGCCGACAAGAAAATCCATTAAAGTGTGATCACTGTGAATTTGAGACAGTTTATATGTGTGAGAGTAAGAAACACAAAACTTCACATTATAACAAAATATACGGGCCGGGGATTCATCAAAAAATTGTAAATATTGAAGAGAAAGAAAAAACAGATTATGCATCAGAAAGTGTTGAGCGTTCACAAAACAATTACACACTTGATCCGAATTGTCTCGATTGGAATAGCATTCAGGTCCTCGAGTCTGAAGATAAAGAACGACCATTTTTGTGTCACATGTGCAGTTACACTTCAAAGTTTAAAGCGGCAGTCCAGAGACACTTCCAGCGGCATCACACAGGAAGTCAGAATCGTCCGTACAAATGTGTTAATTGTGACTTCTCAACGAAGACTAAAGATCAAATTGCGTTGCATAACAAGCGGAGTCTGACGGACAAGACATTGTTTTGTGGAATTTGTGCTTTCACAACCAGCTATAAATGTCAATTTGTGATGCATCAGAAAATCCATTATGCATACAAATGCACAGTCTGTCCGTACTCTTGTCGACATAAGTATGAGCTGCAAAAGCATTTTACAACTTTACATTTAGGGAACGGATTAAAATGTACTTACTGTGACTATAAAGCAGCGAGGAAAGAGAGTCTGTTGTGTCACGAAACAATCCACACTGGTAATAAGCCATATAAATGTGTCCACTGTACTTACATGTCTGTCCGTAAGTCTTTACTAGACAATCACGTTAAGAGATACCATAGCGAGATCAAGAAAGACATCACAATTGTTAGCGAAGACAAAATCAAATCGCTCAAAGTTCCAATGCCAGCTTTGATTCAGAGTTTAAAGGAACAGTGCGCTAAGATTCCGTTAGACTAA
Protein Sequence
MAEVESKSDNTCDMDNVVQSEEQDTDMMNMFASVWVKVEVDGDSDDDKRMSRKRKCKKKKSSKILTCELCNYTTSYKNCLELHIAGHNDNKPFSCTLCDYTTKYPTSLQRHLMIKHQAKESALTDEDKKSMQIYKCEDCDYTTYFRWNLSAHKRKHNIEKQFKCPQCNYATAYRHNFLKHSKVHNEGVFYKCDKCPFVTKFEGHITRHLAKIHNEVTEKANKCDFCDFSTMVRWRLNVHKQRSRQENPLKCDHCEFETVYMCESKKHKTSHYNKIYGPGIHQKIVNIEEKEKTDYASESVERSQNNYTLDPNCLDWNSIQVLESEDKERPFLCHMCSYTSKFKAAVQRHFQRHHTGSQNRPYKCVNCDFSTKTKDQIALHNKRSLTDKTLFCGICAFTTSYKCQFVMHQKIHYAYKCTVCPYSCRHKYELQKHFTTLHLGNGLKCTYCDYKAARKESLLCHETIHTGNKPYKCVHCTYMSVRKSLLDNHVKRYHSEIKKDITIVSEDKIKSLKVPMPALIQSLKEQCAKIPLD

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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