Basic Information

Gene Symbol
-
Assembly
GCA_905147385.1
Location
LR990253.1:6105004-6108930[-]

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 0.00061 0.055 14.6 1.5 1 23 226 248 226 248 0.98
2 10 0.54 48 5.4 0.1 3 23 273 294 271 294 0.95
3 10 0.00021 0.019 16.1 0.4 2 23 316 337 315 337 0.94
4 10 0.0041 0.36 12.0 1.9 2 23 342 363 341 363 0.96
5 10 0.0036 0.32 12.2 0.1 1 23 370 393 370 393 0.95
6 10 2.8 2.5e+02 3.1 0.2 3 23 401 422 399 422 0.84
7 10 5.8e-05 0.0052 17.9 1.7 1 23 428 451 428 451 0.97
8 10 9.6e-05 0.0086 17.2 1.0 1 23 457 479 457 479 0.98
9 10 1.7e-06 0.00015 22.7 1.2 1 23 485 507 485 507 0.99
10 10 7.2e-06 0.00064 20.7 3.3 1 23 513 535 513 536 0.96

Sequence Information

Coding Sequence
ATGGCAAAGTTAAATAGTAAAGGGCCGATAATAAACCCGGGGCTGTGCCGGTGTTGTCACTCCATCAAGAAGTGTCGGGTGCTGACCGCCGAGTACGAGTTCATGCAGGCCAAGGAGGTTTACTCTGATATGTTTATGGATGTATTTGGACTACTTCTGTCGCACTTAGATGGAGAGAGCAAGGAGTCGTGTATATGTGCAACATGTGTGTCACGTCTCCGAGCAGCATGTGCTTTCAGGCGGCAGGTGTTGCAGTCTGAGCAGATGTTCCTTGAGGCTCGATTGCAGAATAAAGATGATGAGCAAAATATAAAAGTAGAAGTTAAAGCGGAACCAACAGCAGAGTTGGAGACAGACTCTAATGGTGTAGCTGATGATGCACCAGTTGATCAGAATGACGACGCAGAAGAAGAAAATTCACAAGAAGTAATAAAAAACATTCAGATTAAACTAATAAAGAGGACAAGGAACGGACAGAAAAGTAAAATTAAAAAAATGATCAAAAGTAAGGACAAAATAAATAGATTGAAGGTGAAACTTGATCAGTTGATTGGAAAAGAAAGGTTACCAATCCCCAAAGGAAAGACCTTAGACCTCGACAACATGACCTTCCACAACACAATAACCATCGTCACCAACAGCTACGTCTGCCCCTTCCTTAACCGCATCAGCTTCTATTACTGCTACTACTGCCGCGACCAGTTCACCAACCCCAGCGAGCTACGAGACCACACCCTCACCCACGACCCAAAGGAACTCTTCGAAGAAACCACAGATTATAAGAAAATGCCAAAAATCGATATCACTAGAATCGATTGTCGATTATGTCCAGAGAAAATCGATGATATCGACACATTTAAACAGCACATCACTACCGTCCACAATAAATTCCTTCACAAAATAAATAACGAGTTCCTCAAGTTCCGATTAACGATGAACAACTTGACCTGTACCGAGTGTAGTGAAATGTTTCCTTATTTTGACTCGTTGAAGAAGCATATGGTGGAGCACTTCGGGACGTGCACTTGTGACATGTGTGGGGCTTGCTTCCTGGAGCCTGCATCGTTGAGAACCCACATCAAATCGCATAATAAAGTTGAGAAGAACTTTCCATGTGAGATCTGTGGTAAGAATTTAAAATCCAAGTACAGTCGGGGACTTCACATAGCTACAGTGCATGAGAAGAAGCCGTTCGTGAATTGTTACAAGTGTGATGCTTCATTTTTATCTTATGCGTTGAGGAACCGCCATTTAATTGAGGTGCATGGTGATAACCGAACCTTTCCGTGTAAATTATGTGATAAAGTGTATAATAGACGAAAAACCCTGATGGAGCATAACCGGAGGAATCATTTGAAAGTGTTCAGGCATCAGTGCGATCTGTGTGACCAGACTTTTTATATACCATCAAGGTTGAAGGAGCATATGGCAACACATACAGGTGAGAGGAACTTTAGATGTGAGTTCTGTGATAAGAGCTACCCGAGGCTGCAGACGCTGCAGGACCACATACGGACGCACAATAACGAAAGACGATTCAAGTGTGATATTTGTAATTCTACCTTCACGCAGAGTGGGAGTTTGAAGAGTCATTTGAAAAGTCATCACCAAGTTTTTGAGATGGACGGGAGTTTTAATTGA
Protein Sequence
MAKLNSKGPIINPGLCRCCHSIKKCRVLTAEYEFMQAKEVYSDMFMDVFGLLLSHLDGESKESCICATCVSRLRAACAFRRQVLQSEQMFLEARLQNKDDEQNIKVEVKAEPTAELETDSNGVADDAPVDQNDDAEEENSQEVIKNIQIKLIKRTRNGQKSKIKKMIKSKDKINRLKVKLDQLIGKERLPIPKGKTLDLDNMTFHNTITIVTNSYVCPFLNRISFYYCYYCRDQFTNPSELRDHTLTHDPKELFEETTDYKKMPKIDITRIDCRLCPEKIDDIDTFKQHITTVHNKFLHKINNEFLKFRLTMNNLTCTECSEMFPYFDSLKKHMVEHFGTCTCDMCGACFLEPASLRTHIKSHNKVEKNFPCEICGKNLKSKYSRGLHIATVHEKKPFVNCYKCDASFLSYALRNRHLIEVHGDNRTFPCKLCDKVYNRRKTLMEHNRRNHLKVFRHQCDLCDQTFYIPSRLKEHMATHTGERNFRCEFCDKSYPRLQTLQDHIRTHNNERRFKCDICNSTFTQSGSLKSHLKSHHQVFEMDGSFN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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