Basic Information

Gene Symbol
Hivep2
Assembly
GCA_029286615.1
Location
JAGSMQ010000388.1:387092-401891[+]

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 0.035 3.5 8.9 1.2 1 23 217 240 217 240 0.96
2 11 0.058 5.8 8.2 0.9 1 23 247 269 247 269 0.97
3 11 0.068 6.8 8.0 0.5 1 23 273 296 273 296 0.92
4 11 0.049 4.9 8.5 4.7 1 23 303 325 303 325 0.97
5 11 1.4e-05 0.0014 19.6 0.2 2 23 330 352 330 352 0.97
6 11 1.7e-05 0.0017 19.4 0.1 1 23 359 381 359 381 0.98
7 11 0.0002 0.02 16.0 2.9 3 23 391 411 389 411 0.97
8 11 0.0047 0.47 11.7 0.1 1 23 422 445 422 445 0.93
9 11 4.9e-06 0.00049 21.0 3.7 1 23 451 474 451 474 0.95
10 11 0.00029 0.029 15.5 1.3 3 23 485 505 484 505 0.98
11 11 0.0009 0.091 13.9 0.6 2 23 512 534 511 534 0.95

Sequence Information

Coding Sequence
ATGTCACAGTTTCTTGAATTAAACGTACCTGATTACAATAtaactgaaaatattaatatcactgGAACATCACAATTAAAAATTTGCGGTTGTTGCCTATCACGGGGTGTGCCGTTTATTAATCTCAAGACCTGTAAACATGCCGGTTTTCTATCCAGTATATTTGGCAATAAGgTGGACTTTACAAGAACCATCATTTGCCTTCTGTGTcacaacataataaaaaaaataaacagcttTATATGCCAGGTAGAGGAATGTTGTTCAGTTTTGATCGGAGCaTCCAAGCAACTTAAGCCAAGGTCACATCACTTGCAAAGTTCAAAAATCGAAATAAATTCAGCAATAAATTGTCAGCCGATAGAATTAGAGATTAAAGAGCATTTCATTCCATCAAAAATTGAGTTAGAACATCAGATAAAGATAGAACATGACAGTAATTCCGACTTTGAGACAAACCTACCTctactacaaataaaaaagaataaaagtgacagaaagaagaagaagcagaAAGAGAAAGTGAGAAAAAGATCGCTGCTGCAGGACAAATATGATGGCaagattaaaattgtaatattaagttGGGAAGAGATGATTGAGGAGCGGAAGAGAGATGCTATGAAGAAGTCTTACTTAAATCTTCCTTATAAATGTGAGAACTGTATAACCGGGTTTGACCACGAAATGACTCTTAAAGTACACATGGAACAAAGACATGATAAGAAGAAGGGGGGGTTCGTATGCGATGTGTGCAAGTCGGTGTTAAGCACGGAGACTTCCTACAAGGAGCACAATAAACGGCACGTGAAGAGGTACGAATGCGAGGTGTGCGGCAAACGGAATAACAACGTCTATAGCGTTGTCAAACATTACAAGGAGCAACACGGGACCATCAATACATTGTTCACATGCAACGAGTGTGGTTTCACGACTGAGTCACACCGAAGCTACCGCTACCATCGCGATAAGCACAAAGCGAAAGCGCAATGCAACGAATGCGGCAACACCTTCGTGAACCCAACCGGACTACGAGTTCATATGTTTACGGTCCACGGACAGTCGGATCGGGTGTACTCGTGTTCGGTCTGCGGAAAGGGATACCGCGCCAAATCCAGCCTCGCGACCCACCAAGCGGTGCACAAGACTCCCGCGTCGCCGGACACGTTCTGCGCGGTTTGCGGCACCCATTTCCGTTCACCATTGGGGCTCAGGCACCATTTGAGAACTCACTCGAAACACGTGCGGGAATCCGACAAGCGGTTTATCTGTGATGACTGCGGATCGAAGTTTTTAACGAAGACTTCCCTGCAAGAGCACATCGACTGGGTGCATCTGAAGAAGCCCAAGCACGAATGCAATAAATGCTCTAAGGTATTCAAAAATAGTTCGGCATTGAAGAAACACAAAAACTATGTCCACGAGAAGAAAAGACCGCCGAGGAATAAGATCTGCGATCACTGCGGACGAGGTTTCACTACGCTGACGATCCTACGTTCACACGTGCGGACGCATACGGGCGAGCGTCCACTGCGATGCTCTCACTGTCCAGCAGCATTTGCCCACCCTGCCGCactttacacacacacaaaactgCTTCATAGTAACGATAACTGA
Protein Sequence
MSQFLELNVPDYNITENINITGTSQLKICGCCLSRGVPFINLKTCKHAGFLSSIFGNKVDFTRTIICLLCHNIIKKINSFICQVEECCSVLIGASKQLKPRSHHLQSSKIEINSAINCQPIELEIKEHFIPSKIELEHQIKIEHDSNSDFETNLPLLQIKKNKSDRKKKKQKEKVRKRSLLQDKYDGKIKIVILSWEEMIEERKRDAMKKSYLNLPYKCENCITGFDHEMTLKVHMEQRHDKKKGGFVCDVCKSVLSTETSYKEHNKRHVKRYECEVCGKRNNNVYSVVKHYKEQHGTINTLFTCNECGFTTESHRSYRYHRDKHKAKAQCNECGNTFVNPTGLRVHMFTVHGQSDRVYSCSVCGKGYRAKSSLATHQAVHKTPASPDTFCAVCGTHFRSPLGLRHHLRTHSKHVRESDKRFICDDCGSKFLTKTSLQEHIDWVHLKKPKHECNKCSKVFKNSSALKKHKNYVHEKKRPPRNKICDHCGRGFTTLTILRSHVRTHTGERPLRCSHCPAAFAHPAALYTHTKLLHSNDN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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