Basic Information

Gene Symbol
-
Assembly
GCA_946251895.1
Location
CAMIUG010000268.1:1115850-1122813[-]

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 8 0.016 1.6 10.3 1.3 1 19 305 323 305 325 0.93
2 8 0.00011 0.01 17.2 1.0 1 23 335 357 335 357 0.98
3 8 0.00047 0.046 15.1 5.9 1 23 370 392 370 393 0.96
4 8 1.1e-06 0.0001 23.5 0.5 1 23 400 422 400 422 0.98
5 8 8.5e-06 0.00082 20.6 2.4 2 23 429 450 428 450 0.98
6 8 0.00028 0.027 15.9 2.8 1 23 456 478 456 478 0.98
7 8 7.2e-05 0.007 17.7 0.3 1 23 484 507 484 507 0.94
8 8 0.0095 0.93 11.0 2.9 1 23 513 536 513 536 0.92

Sequence Information

Coding Sequence
ATGTCTTTGAAGAATTCAATACCGGATGGCGAACTGTTTAGCTACGATTACTTTTTTCTTGAATACGTCTGCAGGTTGTGCTGGGGAGCCGATGGCGTTATAGAATTATCATCTTTCAGCCCTAATTCCACAGAAAACGATGCTACTATTGCTCAAAAAATACTAGAATGTATAGGGATCGATGTGACCACACAAAGTCATCCGAAAAAAGTATGTACTAAATGTTTAAACGAAATTGAAATATTTAGTGAATTCAAAAGATGTTGCCAAGAAACTGACAGAAAACTACAAGTTATACTCCAAAAAGGCTCTTCGCAAGAAAAAATACAACAACCTAGAATAAAAAAAGAAGATTACCTGGATGAGCCAATGATTTTGAAAGAAGAAACCAATGTAAAATTTTCAAATATTGAATTAAACAACTCTATCGACGATGACCTCTTTGACGATTTACCTCTATCATGCGAACTTGGCGGGAATATTGAAGATAGGCCTGCAAGAATAGAAACAAGAAACAAATCATCAACATACTGCAATTTGTGCCATCTGGATTTGGAATCAATAGAAAAATTAACAGAGCATAATTTAGAATGCCATGGAATAGAAGAAAATTGCGAACCTGGCGGAACTAATGAAGATAGGCCTGCAAGAAAAAGAAAGAACAGATCATCAACATACTGCAATTTGTGTCATCTGGATTTGGAATCAATAGAAAAATTAACAGAGCATAATTTAGAATGCCATGGAATAGAAGAAAATTGCGAACCTGGCGGGACTAATGAAGATAGGCCTGCAAGAAAAAGAAAAAACAGATCATCAACATACTGCAATTTGTGTCATCTGGATTTGGAATCAATAGATAAATTCACAGAGCATAATTTAGAATGCCATGGAATTGAAGAAAATGGCATGTACAAGTGTTTTGGATGTGAGAAAAGATTTAAAAATCTAAAGAAAAGACTTAGACATGAAGCTGAGTCATGTAAAGAACTAAAATGTGGTTATAAATGTAACATTTGTGACAGATTTTTACCTAGGCGGAAAGTGTATGAACGTCATATGAGAGCACATCGAGAAAACAAAGTAATTGAATTGAGTGATGGTATTTACAGATGTAAACAGTGCTTGAAGTCATTTGAAAGTACAGAATGTTTGAGAGAACACATGTTGACACATCACAAGAGAGAGAAAAAAACTTATGTTTGTGATATTTGCGGACAAGTCTTCACCCGTCGCGACTATCTCTACAAACATAAGCTAGTACATGAAGGCAGCAAGCTGCAGAAATGTCCACACTGTGACTATAGGACTGTACAGCGGTCTTCACTGACTGTTCACATTAGGAAACACACAGGCGAGCGACCTTACGCTTGTGATCTGTGTCCCCACCGCTGCGTGACCAGCTCAAACTTGCTTGCGCATCGGAAACGGCACTTGGGCGTCAAAGCTTTTGAGTGTAAACTATGTGACAAGAAATTTGGCTACAAAATAAGCCTAGAAGAGCACATGTCGGCAGTACACGAGCGCTCGGAGTCACACGCGTGCGTTCACTGCGGCTCGACCTACTCCCGCTTTAGAGGACTGCGGCGCCATCTCTTAGGGAAACACGGGACGAAAGTGAAAAAAAGCAAAGACAACCTTGTGGAATTCCAAACGGAGGCAAAGGAAGGAACGAATGATTCGGGGTTTGAGTTGAAGGCAGCTGAAGGTGTTTCAGAGGATCAAAACACAGATGGCGTTGCTTTCATGGTGTAG
Protein Sequence
MSLKNSIPDGELFSYDYFFLEYVCRLCWGADGVIELSSFSPNSTENDATIAQKILECIGIDVTTQSHPKKVCTKCLNEIEIFSEFKRCCQETDRKLQVILQKGSSQEKIQQPRIKKEDYLDEPMILKEETNVKFSNIELNNSIDDDLFDDLPLSCELGGNIEDRPARIETRNKSSTYCNLCHLDLESIEKLTEHNLECHGIEENCEPGGTNEDRPARKRKNRSSTYCNLCHLDLESIEKLTEHNLECHGIEENCEPGGTNEDRPARKRKNRSSTYCNLCHLDLESIDKFTEHNLECHGIEENGMYKCFGCEKRFKNLKKRLRHEAESCKELKCGYKCNICDRFLPRRKVYERHMRAHRENKVIELSDGIYRCKQCLKSFESTECLREHMLTHHKREKKTYVCDICGQVFTRRDYLYKHKLVHEGSKLQKCPHCDYRTVQRSSLTVHIRKHTGERPYACDLCPHRCVTSSNLLAHRKRHLGVKAFECKLCDKKFGYKISLEEHMSAVHERSESHACVHCGSTYSRFRGLRRHLLGKHGTKVKKSKDNLVEFQTEAKEGTNDSGFELKAAEGVSEDQNTDGVAFMV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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