Basic Information

Insect
Pyrrhia umbra
Gene Symbol
-
Assembly
GCA_963891755.1
Location
OY982946.1:3083528-3087324[-]

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 2.5 2.2e+02 3.4 1.0 1 15 125 139 125 143 0.86
2 11 3.5 3e+02 3.0 0.4 1 9 156 164 156 166 0.84
3 11 1.6 1.4e+02 4.1 1.4 2 23 184 205 180 205 0.79
4 11 0.12 10 7.6 0.9 1 23 228 249 228 249 0.85
5 11 0.1 9.1 7.8 4.0 2 23 290 311 289 311 0.95
6 11 0.0014 0.12 13.7 0.2 2 23 327 348 326 348 0.97
7 11 6.8e-08 5.9e-06 27.3 2.4 1 23 354 376 354 376 0.99
8 11 6e-05 0.0052 18.0 0.4 3 23 383 403 381 403 0.95
9 11 0.003 0.26 12.6 2.0 2 23 410 432 409 432 0.96
10 11 0.029 2.5 9.6 0.2 1 20 439 458 439 459 0.95
11 11 0.00086 0.075 14.4 0.4 3 23 471 492 470 492 0.96

Sequence Information

Coding Sequence
ATGGATTCCGATGACAGTTCGAGACTTGTTATCAAAGAAGAGCCTATCGATGATTTCGATGATTATGATAATCGATACGAATACAGTATCGAAGAGAATCAAACTGAAAACATTgtacaaacaaatataaaacagGAAGACGAAGATGTCGACGAATTTGAAGATGACATCATCAAACTCAACATCAACATCGAAGATTTGCTAGCCAAACAAGAATCGAGTCGAGTATTCGAACATCCATCGGTTAGAGAATCGAATGAACAAACAAAATCTATAACAGAAACTGAAGAAATGCCACGACCGATTAAAATCGAAAAAGAATCGATACTCGAACCTGAAATTGTTATATCCGATGTTAAACAGAAGAATTTGTATCGATGTTCCAAATGTCCTTTTAAGGGGAAACACAAATCATATATCGAGCATATTGAGACCGATTGTCCACAAACAATGGGCAATAAGCACTACACATGTACTAAATGTGGCCTAGACTACGCGTGCTTGAAAATATACCTAGGACATTTCATGAAGCATGGTTTCAAATGTCTATCGTGTCCGGAATGCTTGAAGCAATTCTACACCTTCGGAAAACTGGGACCACATGTTCTTAGCCATATTAAACAGAATTTTGTTCGGATTAAAACGATAACTCATGAGTTGACAGCTAACCAAAAACCGGGTTATCAATGCAGGAAGTGTGGTAAGACTGTGAAGATTGATGAGTTTTTCCAACATTGGGAGTTGCACATCAGTTGCAATCCGAGGAGGATGGCTCAAGCGGTTGAGGAAAGGAGTCCTCGGTTGGAGGGCAGCATTTCTGAAAGTGTTATCCAAGATTGTATTACTTGCATGCAGCAATCACCAAAACAATGTGTGTACTGCAAGCGGCGGTTCAAACGAGTGAATGAATGCAAACGGCACATCATTGAGCATCTACTAGCAGACGCATACTCGCAGAAACAGCTACTCGGCGTACTAAAATGTCAGATTTGCAACATCGGATACTCTGCACCGGAAAAATACAAGCAACACATGCGCGATCACGCGTCTCTGCCCGTGTATAAGTGTGAGATATGTGACCGGACATTCAGTGATTCCAGTAATTTcactaaacataaaaaagtgCACAATTTGAAGGTTGTCATTTGTGATTTGTGCGGCAAGAAATTTCAGTCTAAAACTTCGTTGGCGAAACATCTTGAgCAACACAAGAAATCAGAGCCAATAACATGCAAGATATGCTTCAAGATATTCTACTTTGAAACAACATACAAGCGACATGTAAGGTATTATCATGAAAAAGTCACTCTGGGCTACCGCTGTGTGATTTGCAATGAACGTTTCAACTCTCTAAAATCAAAATGGGATCACATGTGGGAGGTTCATAAAGAAAGGAAGAATAAAGCTGACTGTCCGGTGTGCTTCAGATCTTTCAGAAAGTATTCCGAGGTACGGGCCCACGCTAAACGTGACCACAATAAGGAGGTTTCGGTTTTCAGTGTCAAAAATGCAACTAAATCTATGGATGATATACATAAATTTTTAGATGATTCCGGTTTTAAAATCGGTGACACTGAAACTTTGGTTGTCTATGGTATTGATGACAGTTGA
Protein Sequence
MDSDDSSRLVIKEEPIDDFDDYDNRYEYSIEENQTENIVQTNIKQEDEDVDEFEDDIIKLNINIEDLLAKQESSRVFEHPSVRESNEQTKSITETEEMPRPIKIEKESILEPEIVISDVKQKNLYRCSKCPFKGKHKSYIEHIETDCPQTMGNKHYTCTKCGLDYACLKIYLGHFMKHGFKCLSCPECLKQFYTFGKLGPHVLSHIKQNFVRIKTITHELTANQKPGYQCRKCGKTVKIDEFFQHWELHISCNPRRMAQAVEERSPRLEGSISESVIQDCITCMQQSPKQCVYCKRRFKRVNECKRHIIEHLLADAYSQKQLLGVLKCQICNIGYSAPEKYKQHMRDHASLPVYKCEICDRTFSDSSNFTKHKKVHNLKVVICDLCGKKFQSKTSLAKHLEQHKKSEPITCKICFKIFYFETTYKRHVRYYHEKVTLGYRCVICNERFNSLKSKWDHMWEVHKERKNKADCPVCFRSFRKYSEVRAHAKRDHNKEVSVFSVKNATKSMDDIHKFLDDSGFKIGDTETLVVYGIDDS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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