Basic Information

Gene Symbol
-
Assembly
GCA_944452705.1
Location
CALYCB010000103.1:803057-814098[-]

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 0.5 70 5.4 8.6 1 23 114 137 114 137 0.88
2 9 0.21 30 6.6 3.2 1 23 196 219 196 219 0.94
3 9 6.5e-05 0.0092 17.7 1.7 1 23 253 275 253 275 0.97
4 9 9.9e-05 0.014 17.1 1.5 1 23 283 305 283 305 0.98
5 9 0.0028 0.39 12.5 2.8 1 23 314 337 314 337 0.97
6 9 0.0012 0.16 13.7 0.3 1 23 343 365 343 365 0.97
7 9 4.7e-05 0.0066 18.1 5.5 1 23 371 393 371 393 0.97
8 9 0.00099 0.14 13.9 0.6 1 23 398 420 398 420 0.97
9 9 0.0011 0.15 13.9 0.3 1 16 426 441 426 442 0.91

Sequence Information

Coding Sequence
ATGTTGTTTGAAAAAACCTTCCTTTTTACAGAACAAAGTAATTCAGACCAGAATGATGGGGTTGGCAATGATTATGATGATGACAATGATGATGATGGCATTGATGATGATGGCAATTATGATGATGACAATGACGATGATGACAATGCCGATGATGGTAATGATGGTGATTACCGGAATAGCTCCGATTATGATGAAATGGACGAAATTGCTATTTCTTCACTTAAAAAAATTATGAGTGATGATCCTGAACAAAAAGATCACATTGAAGACATTGTTTCAAATGCGTTAGAAGAGCTTTACCAATTACCTAGAATACAAAGTACTGATATAGTCAAATTCAACTGTCATCATTGTGGAAAAAAATGCCAGAATTGGCCCCGTTTAAAAAGTCATTGCATCACGGAGCACCAAGTGCGCCCCAAGGTGTTCTGCGTCTGTGGCTCTACAATAATTACCCGAAGTGGCATTTATGCACATTTAACTAAACACAAAGCGAAACACAAAGAATTGAAATGCAGATTACCCCGTTCTGGGCTCGGTGATGGGAAGAAATATGGTTTTAGACTGTCGAAATATATTGATTTTTCATGTCGTCTCTGCCAAGGAAAATATTATGGCTGGTTCCACCTGAAGAGGCATTATGACGTCAAACATAAAGGGCAGCGACTTGTTGTGCATTGTAGCTGTGGACGCGAGCTGCAATCGAAGACTATGGTATACAGACATGTTGAGGACCATGAAAACCCTGGTTCACACAGGTGTGAATTATGTCAGAAAGTGTATAGAACGCTTGATGCTCTAGAGAAGCATAAAATCCGTCACGTTCCAAAACCGGATAGGCGGTACAACTGTAGGGTATGCGACAAAGAATTCAAAACCAGAGACGGCATGAAGTCCCACGAAAAATCACACATACCAATAGAAAACCGAAAAGTATTCCACTGTGACATTTGTGATATGAAGTTTACGGCTAAATCAACAGCCATGATGCACCGTCGTACAAAACACGAGAAAGTTAAAACCTACGTGTGTGATTTGTGCGGCTTCACCTGCGCCACCGGCGGCGAGTTGAAGCAACATCGGGCTATCCACAGCGATGAGAAACCGTTCCAGTGCGAAAAGTGTAATAAATGTTTCAAAACGTACGCCAACTATAAAACGCACACTGACATTCACGAAGGCACGTCCTATCCTTGCTATCTGTGCAACCGCGTGCTAAACAGTAGACGCACTCTACGCAAGCACTTAGTGGTGCACGAAGATCAATGCAAGCACGTATGCTCCTACTGCGGGAAGGCTTTCAAGCGCCGTCAGACTTTGGTCTGTCTTTTTATGCGTTTTTCTGAGTTTTCGACAACTTTGGCTTTCTTCTTGGATTCCGATTTCCGCTTAACCTTCCTACCTTTGGCTTACTTCTTGGATTCTGAACTCCGCTTTACCATATTACGATTGGCTACGTTCTCTGGACTTCTGTTTTTGCATTTTCATTTTGACCTGGGCGTGATTTTTGGATTTTTTGGTGCAAATTTGACTGGCTTTTACAAAATGGACAATAATCAGCCTTCTTGTAGTCGGGATTTCTTGACTGCGAATCGAGATGGTGGTGATGAGCCGCCCACTAAAAGGAGGCTGTATGTTGATGAAGTGGTGCCTATGTGGAATTTAGCAAGAATTTTCAGAGTTGTGGACACGGGAGCAAGGTCTCGCATTTGCTGTTGA
Protein Sequence
MLFEKTFLFTEQSNSDQNDGVGNDYDDDNDDDGIDDDGNYDDDNDDDDNADDGNDGDYRNSSDYDEMDEIAISSLKKIMSDDPEQKDHIEDIVSNALEELYQLPRIQSTDIVKFNCHHCGKKCQNWPRLKSHCITEHQVRPKVFCVCGSTIITRSGIYAHLTKHKAKHKELKCRLPRSGLGDGKKYGFRLSKYIDFSCRLCQGKYYGWFHLKRHYDVKHKGQRLVVHCSCGRELQSKTMVYRHVEDHENPGSHRCELCQKVYRTLDALEKHKIRHVPKPDRRYNCRVCDKEFKTRDGMKSHEKSHIPIENRKVFHCDICDMKFTAKSTAMMHRRTKHEKVKTYVCDLCGFTCATGGELKQHRAIHSDEKPFQCEKCNKCFKTYANYKTHTDIHEGTSYPCYLCNRVLNSRRTLRKHLVVHEDQCKHVCSYCGKAFKRRQTLVCLFMRFSEFSTTLAFFLDSDFRLTFLPLAYFLDSELRFTILRLATFSGLLFLHFHFDLGVIFGFFGANLTGFYKMDNNQPSCSRDFLTANRDGGDEPPTKRRLYVDEVVPMWNLARIFRVVDTGARSRICC

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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