Basic Information

Gene Symbol
-
Assembly
GCA_963932375.1
Location
OZ010655.1:64377429-64379154[+]

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 0.081 7.5 8.0 0.3 2 23 246 268 245 268 0.91
2 10 0.017 1.5 10.2 0.9 6 23 277 294 277 294 0.99
3 10 0.00064 0.059 14.6 3.5 1 23 300 323 300 323 0.94
4 10 3.9e-07 3.6e-05 24.7 1.5 1 23 329 351 329 351 0.98
5 10 1e-05 0.00094 20.3 0.5 1 23 358 381 358 381 0.97
6 10 0.00082 0.075 14.3 0.2 3 23 387 407 386 407 0.97
7 10 0.00084 0.077 14.2 0.1 1 23 415 438 415 438 0.91
8 10 0.00011 0.01 17.0 0.2 1 23 445 468 445 468 0.96
9 10 1e-07 9.2e-06 26.6 2.0 1 23 474 496 474 496 0.97
10 10 0.016 1.4 10.3 5.6 1 23 502 525 502 525 0.97

Sequence Information

Coding Sequence
ATGTCTGTGAAAGtatgttgttgtttgtgttgcaCGCCTGGCATTAACGAATATAAATATCTACAAAATGATTCAGGTGAATGTAATGACATTTATGAAATTACAGTCAAATATTTTGATCCCATGTTACTCACAGAACACATTAATACTGTATGCCCTAAAGATAGTAATGTACTTTGTCAGAACTGCTGGATACACATACAAGGCTTTCACGACTTTCAAGAAACAGTATTAGAAACAAGAACATTATTCGAGCATATTAACATACAGAAATCACCATTGCATATTAAGGTGGAAGATCAAGTCTCTACAGTTTCTTATGATTGTTATAATGATACCGGTAATGAAGAGACGGTAgtacaattaaataaagtattgaTAAAAAATGATTTGGAAGATCAAAGTCAGTTTGAAGAGGACGACGAGGCCCCATcgcaaaaattaagaaaaacacgaCAAACTTTAAACACCAGTAGGAAAATTGataatgaaatagaaaaaaagaaaaaaaataatttagacaCCAAAAAAAAGCATCAAATTTGTAAAGTACGGAAGTCAAAGAATTCCTCTAGAGATAGCAAAAATACTGAATGTCACGATATTGATGATAAAAACTTACTACAAGGAAAAAAGACACATTTTAAAGAATCTGTAAAGGATCTAGGCTTTCATCCAGTTTTAGAAAAAGGTAGAGAATATGACAAATTTATAGCAGAATGGAAATCGCAACTAGAATGTGATCTTTGTAGTGAATCATTTGCTATTTTCGATATgttaaaagttcattttaagGATAAGCACAACGCGAAAGGCTATGTCAAATGCTGCGATCGTAAGTTTGATCGTCGTTGCAGTTTGGTTGAGCACATACGGTTGCATATTAATCCAGAGATGCATAAGTGCGACATATGTGGTAAACTAAGTCGCAGTAAATATAATCttaaacttcataaaaaatttatacacgAAGAATCTAAACAATTTGAATgcaatgtttgtttaaaaacattcaaacaaaaacaaaatttagaaagCCATATGTTAACCCATGTTACAGgcaataaagattttaaatgtaatGAATGCGGTAAAGCTTATGTACTAGAGTTCCaacttaaaaaacatattaaattggTACATATTGATAATAGAATTTGTGATCAGTGTGGCAAAACGCTCAACAGTATCGGAGcattaaaaaatcaccttaaAGAACATACTGACATTGAGAAACCTAAATATCCCTGCGATGAATGTGGTACGGTACTGGGTTCAAACTCCAGTTTGAAAAGCCATAAAGCGGCATATCATAAcgatggttctactgtttacgTTTGTAGTATATGTGGAAAAGTTTCAGCTACAGAAAGAGGCCTTAAGaatcacaaaaaatatgtgcacgaaatagaaagaaaacataaatgtcCGCATTGCGATAAAGCATTTAAACgggcaaaaaatttacaagaacACATTGCCATTCATACAGGTGAAGCCCTGTATCAGTGTCCGCTGTGTCCACGATCATTTAAAATGCACACCAAGTACCATGAACATTTTAAGAAAGCTCACCCAATTGAATGGGAAGAAGGTAGAAGGAATcgcttagaaaaacaaaaaattgattatGAACGGGTAACAAATCAAGTTgtcatataa
Protein Sequence
MSVKVCCCLCCTPGINEYKYLQNDSGECNDIYEITVKYFDPMLLTEHINTVCPKDSNVLCQNCWIHIQGFHDFQETVLETRTLFEHINIQKSPLHIKVEDQVSTVSYDCYNDTGNEETVVQLNKVLIKNDLEDQSQFEEDDEAPSQKLRKTRQTLNTSRKIDNEIEKKKKNNLDTKKKHQICKVRKSKNSSRDSKNTECHDIDDKNLLQGKKTHFKESVKDLGFHPVLEKGREYDKFIAEWKSQLECDLCSESFAIFDMLKVHFKDKHNAKGYVKCCDRKFDRRCSLVEHIRLHINPEMHKCDICGKLSRSKYNLKLHKKFIHEESKQFECNVCLKTFKQKQNLESHMLTHVTGNKDFKCNECGKAYVLEFQLKKHIKLVHIDNRICDQCGKTLNSIGALKNHLKEHTDIEKPKYPCDECGTVLGSNSSLKSHKAAYHNDGSTVYVCSICGKVSATERGLKNHKKYVHEIERKHKCPHCDKAFKRAKNLQEHIAIHTGEALYQCPLCPRSFKMHTKYHEHFKKAHPIEWEEGRRNRLEKQKIDYERVTNQVVI

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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