Basic Information

Gene Symbol
-
Assembly
GCA_027564375.1
Location
JAOPUG010000037.1:23406834-23410870[+]

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 0.00013 0.0081 17.6 2.5 1 23 83 106 83 106 0.95
2 10 0.0016 0.1 14.1 0.1 1 23 112 135 112 135 0.95
3 10 1.1e-05 0.0007 20.9 0.1 1 23 141 164 141 164 0.92
4 10 0.0012 0.076 14.5 0.1 1 23 170 193 170 193 0.88
5 10 7.3e-05 0.0047 18.3 0.1 1 23 199 222 199 222 0.89
6 10 2e-06 0.00013 23.2 0.6 1 23 304 327 304 327 0.93
7 10 0.00021 0.013 16.9 3.3 2 23 334 356 333 356 0.90
8 10 0.00036 0.023 16.1 0.2 1 23 362 385 362 385 0.91
9 10 0.00027 0.018 16.5 0.1 1 23 391 414 391 414 0.96
10 10 1.4e-05 0.00089 20.6 0.2 1 23 420 443 420 443 0.96

Sequence Information

Coding Sequence
ATGATCATACATAGCAACGTGGCAGTGAAGATCGACAATAATGTCGTCATTAAAGCGGAGATGGATTCTAACGATTCAGATTTGAATATTCCTGTGAGCGATTTAGTACCAGAAGAACGTGGACATATAGTTGAATTCTACGAAGGGGAGACTCGATTCATCAAGCCAGAACCAATCTCAGGTGGACCACCATCTGGAAGCAGTGAAATTGGCGACAGTGCATCTAGAGTTGGATGTGTCAAATCGCATGTTTGTCGGGAGTGTGAAAGGGCATTTTCTCAGAAGGTTCATTTAAAGCAACACGTTTCTTCCGTTCACTTGAAATTAAAGAAATTTATATGTGGCGTCTGTATTCGAGCATTTTCAAAGAGAGGTAATTTAAACAAGCATTTGGCCTCAGTTCACAACCACATCAAGAAATATTCCTGTGGTGAATGTGATCGTGCCTTTACAGAGAAAGTAAATTTGAAACGCCATTTAGACGCTGTGCATGGGAAATTGAAGAGATTTATTTGCATCGAATGTGATCGTGCATTTGCGAGGCAAGGAAATTTAAATGTGCATTTTAACGCCGTTCACAGAAAATGGAAGAAATTCCTATGTGCAGAATGCGGCCGTGCATTTACAGACAAAGGAAAATTGAAACAACATTTGGATGCCATTCACAGGAAACTAAAAAGCACCGTCAGAGTGAAGATCGAAAAAAATGTCATTAAATCGGAGGTCGTCGACTCTGATGATTCAGAGTTGAATATTCCTCTGACGGATTTAATACCTCATGAAAGAGGGAATGATGTCGAATTCTTCGAAGGAGGTACTCGATTTATAAAGCCAGAACCAATGGAAGATGGAACATCTGTAAACAGTAATATTAGAGATAGTGGATCGATTGGTACTCGCGTTAAATCGCATGTTTGTCCGAAGTGTGACAGGGCGTTTTCTCAGAAGGGTCATTTAAATGAACACATAATTGCAGTTCACTTGAAGCTAAAGAACTGTATATGCAGCGAATGCGATCGAGCTTTTACTAAGCAACACAATTTGATACACCATTTAGACGCAGTTCACAAAAAACTGAAGAAATTCTCATGTGGAGAATGCAATCGTGCGTATACAGATAAAAGAAAGCTGAAAGTTCATGTAGCCGCTGTGCACAGGCAATTGAAGGAATTTGTTTGTGGCGAATGTAGTCGTGCATTTTCAGTGAAAGAAGTTTTGAAGAGACATTTGGAATCAGTTCATATTAAGCTGAAGAAATATTCATGTGACGAATGTGATAGTGCATTTTCGCAGCAAGGACATTTAAAGGTGCATATAGATGTAGTTCACAGGAAGCTGAAGAAATTCTCTTGTGGCGAATGCAATCATTTATTTATGATTTATCACCTGCTACGGCCGAACCCGTCCACCCCGGAGCGTTTTAACGATATTTATTGTGTTATCACCCTCAAGGCGAAACAAATATACGTACCAAGCTCCACCACTGCCCGTATAAGTCCATCTCCTTGCCGCGAGGCACTGGGAATTGTCAAACCCAGTGGGCCTCCTCGCGCCCTGATCCCAGATGCGATCAAATTACTCCGATCCCCGTCTGGTTACAGGTTCGAGGTCGCTTGCGCGTTCCTCAACCTCTGA
Protein Sequence
MIIHSNVAVKIDNNVVIKAEMDSNDSDLNIPVSDLVPEERGHIVEFYEGETRFIKPEPISGGPPSGSSEIGDSASRVGCVKSHVCRECERAFSQKVHLKQHVSSVHLKLKKFICGVCIRAFSKRGNLNKHLASVHNHIKKYSCGECDRAFTEKVNLKRHLDAVHGKLKRFICIECDRAFARQGNLNVHFNAVHRKWKKFLCAECGRAFTDKGKLKQHLDAIHRKLKSTVRVKIEKNVIKSEVVDSDDSELNIPLTDLIPHERGNDVEFFEGGTRFIKPEPMEDGTSVNSNIRDSGSIGTRVKSHVCPKCDRAFSQKGHLNEHIIAVHLKLKNCICSECDRAFTKQHNLIHHLDAVHKKLKKFSCGECNRAYTDKRKLKVHVAAVHRQLKEFVCGECSRAFSVKEVLKRHLESVHIKLKKYSCDECDSAFSQQGHLKVHIDVVHRKLKKFSCGECNHLFMIYHLLRPNPSTPERFNDIYCVITLKAKQIYVPSSTTARISPSPCREALGIVKPSGPPRALIPDAIKLLRSPSGYRFEVACAFLNL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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