Basic Information

Gene Symbol
-
Assembly
GCA_905333055.1
Location
HG995236.1:5026136-5036739[+]

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 11 0.0041 0.19 12.6 0.6 1 23 220 242 220 242 0.98
2 11 0.0014 0.065 14.1 1.9 1 23 249 271 249 271 0.99
3 11 3.3 1.5e+02 3.5 0.5 1 9 275 283 275 298 0.73
4 11 0.00083 0.038 14.8 2.8 1 23 305 327 305 327 0.98
5 11 4.4e-06 0.0002 22.0 2.7 2 23 334 355 333 355 0.97
6 11 2.8e-05 0.0013 19.4 1.2 1 23 361 384 361 384 0.97
7 11 1.7e-05 0.00078 20.1 0.9 1 22 389 410 389 414 0.93
8 11 0.0043 0.2 12.6 0.1 1 19 422 440 422 440 0.97
9 11 9.4e-05 0.0044 17.8 0.0 2 23 452 474 451 474 0.96
10 11 1.8e-07 8.4e-06 26.3 0.4 2 23 483 504 482 504 0.97
11 11 0.021 0.98 10.4 0.2 5 23 513 531 510 532 0.92

Sequence Information

Coding Sequence
ATGGAAGGCATATGCCAAACTTGCCTCGTAAATGGTGTCCCTATAAAACCCATGTCCGTTGAAGAAATGGAGTGTTATAGAACATTTGTTTTAATGGTTTTAAAGATAGAAGATCCACTAGATATGATATACGTCTGTGTGTACTGTGAAGGTGTTTTAAAAAAGATTAATAAATTTATCAGGCAATGTCGGCTTGCAGATCAAGTTCTTAAAAACTTTTGCAAGAGTAACTTAGAGACACTCAAGAAAATTAACTCTAGTCATTTATCAACATCCAAAATTATTTGTCATTATATTGGACCAGAAATTGTAAAATCTAAAAGTGATGACAAGATATCTGATGATGATGATGATATTCCGTTGGCAATGCTCAGTCAGAATAGTGATGATCACGAGTACAATTGTGACAATCATGAAGACTTGATAAATGACAATGTAGATACAAGCATAGACAATACAGAACAGGAAAAAAACACACAGACGGATATAAAGAGCAAACACAAGAAATTTAGAAAGAAAAAGAAAGAAGCAAGACAAGGGTTCTCTTCTAGAATGGTTGTGGAAACTGATGAATATAAAGTCATTAAACTGACTAAGGAAGAGATTATAGAAGAAATGAGACAGCATGCAGAAAATGAAAAGTACAAGGTATTACCCTATAAATGTGACAAATGTGTCCGAGGATTCAATTTCGAGGATGTACTACAGAGTCATTTGGAGAAACATTCACTAAAAAATGGCCCTTTTCAATGCGAAATATGCACACAGTATTGTCCCAGCAGAGTTTCTTTAAGAGGCCATATGAAGTCACATTCTACTAGATATAAGTGCAAGCTATGCGGTATAGTCCGCCTGTCGCGTCAACACATTCTGGAGCACTACTCGCTCCAGCACATGGCTTCGCCCGCTTTGTACACCTGCCCCAAATGTGACCACACTACCAACAAAAGAACAGCAATGCAAAGGCATGTGAGACTTCACTCTGCGAGTAAACCACTCAAATGTCACTATTGCGGGAAATACTACAAAACCAAGGAGTCACTCCGGATACATATTATAAGACATGACGACAAAAAGCTGCATCAATGTGAAATATGCACCAGTACTTTTGTATATGCGGGACAACTGACCAAGCATATGAAGTCTGTGCATGTCTTAAAGGACTATTACTGTGTGGAATGCGACATCATGTTCAAATCAAAGGATAACCTCAAACAACACTTGCAACGAGCGAAACGTCATAGAGACGATTCTTCATACAAATTCCCCTGCACCCAATGCCCACAAAAGTTCATATCCGCGTCGACGCTCGCGACGCACGACACTCACGCGCACGGTGCCGCTAAGAGTGTACCGTGCTCACTCTGCCCGCGCGTGTACAGCAGCGCTGACGGGCTGCGCTGGCACACGCGCAGGGCGCACACTGCCCTCGACAAGTCCAAGTTACCATGCCCACTGTGCGATAGGACGTTTTCGCGTAAGTACGTGCTCCGTGTTCACATGCGCACGCACACAGGCGAACGTCCGCACGTGTGTGAGTGTGGAGCCGCGTTCGCCCAGCCGGCGGCTTTGCGCGCGCATCGCGCACAGCACCACAAGAAACCAACTGTCATTGCAGAAAATGAGACATGA
Protein Sequence
MEGICQTCLVNGVPIKPMSVEEMECYRTFVLMVLKIEDPLDMIYVCVYCEGVLKKINKFIRQCRLADQVLKNFCKSNLETLKKINSSHLSTSKIICHYIGPEIVKSKSDDKISDDDDDIPLAMLSQNSDDHEYNCDNHEDLINDNVDTSIDNTEQEKNTQTDIKSKHKKFRKKKKEARQGFSSRMVVETDEYKVIKLTKEEIIEEMRQHAENEKYKVLPYKCDKCVRGFNFEDVLQSHLEKHSLKNGPFQCEICTQYCPSRVSLRGHMKSHSTRYKCKLCGIVRLSRQHILEHYSLQHMASPALYTCPKCDHTTNKRTAMQRHVRLHSASKPLKCHYCGKYYKTKESLRIHIIRHDDKKLHQCEICTSTFVYAGQLTKHMKSVHVLKDYYCVECDIMFKSKDNLKQHLQRAKRHRDDSSYKFPCTQCPQKFISASTLATHDTHAHGAAKSVPCSLCPRVYSSADGLRWHTRRAHTALDKSKLPCPLCDRTFSRKYVLRVHMRTHTGERPHVCECGAAFAQPAALRAHRAQHHKKPTVIAENET

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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