Carc008811.1


Basic Information
Transcription Factor Domain
Sequence Information
Similer Transcription Factors

Basic Information

Insect
Coenonympha arcania
Gene Symbol
swm
Assembly
GCA_036785405.1
Location
CM072062.1:17061795-17095535[-]

Transcription Factor Domain

TF Family
zf-CCCH
Domain
zf-CCCH domain
PFAM
PF00642
TF Group
Zinc-Coordinating Group
Description
This entry represents C-x8-C-x5-C-x3-H (CCCH) type Zinc finger (Znf) domains. Proteins containing CCCH Znf domains include Znf proteins from eukaryotes involved in cell cycle or growth phase-related regulation, e.g. human TIS11B (butyrate response factor 1, also known as mRNA decay activator protein ZFP36L1), a probable regulatory protein involved in regulating the response to growth factors, and the mouse TTP growth factor-inducible nuclear protein, which has the same function. The mouse TTP protein is induced by growth factors. Another protein containing this domain is the human splicing factor U2AF 35kDa subunit, which plays a critical role in both constitutive and enhancer-dependent splicing by mediating essential protein-protein interactions and protein-RNA interactions required for 3' splice site selection. It has been shown that different CCCH-type Znf proteins interact with the 3'-untranslated region of various mRNA [7, 8]. This type of Znf is very often present in two copies. Zinc finger (Znf) domains are relatively small protein motifs which contain multiple finger-like protrusions that make tandem contacts with their target molecule. Some of these domains bind zinc, but many do not; instead binding other metals such as iron, or no metal at all. For example, some family members form salt bridges to stabilise the finger-like folds. They were first identified as a DNA-binding motif in transcription factor TFIIIA from Xenopus laevis (African clawed frog), however they are now recognised to bind DNA, RNA, protein and/or lipid substrates [1, 2, 3, 4, 6]. Their binding properties depend on the amino acid sequence of the finger domains and of the linker between fingers, as well as on the higher-order structures and the number of fingers. Znf domains are often found in clusters, where fingers can have different binding specificities. There are many superfamilies of Znf motifs, varying in both sequence and structure. They display considerable versatility in binding modes, even between members of the same class (e.g. some bind DNA, others protein), suggesting that Znf motifs are stable scaffolds that have evolved specialised functions. For example, Znf-containing proteins function in gene transcription, translation, mRNA trafficking, cytoskeleton organisation, epithelial development, cell adhesion, protein folding, chromatin remodelling and zinc sensing, to name but a few [5]. Zinc-binding motifs are stable structures, and they rarely undergo conformational changes upon binding their target.
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 27 8.3e-05 0.16 12.8 0.9 3 26 309 332 307 333 0.91
2 27 0.062 1.2e+02 3.6 0.1 13 26 368 381 367 382 0.91
3 27 0.062 1.2e+02 3.6 0.1 13 26 417 430 416 431 0.91
4 27 0.062 1.2e+02 3.6 0.1 13 26 466 479 465 480 0.91
5 27 0.062 1.2e+02 3.6 0.1 13 26 515 528 514 529 0.91
6 27 0.062 1.2e+02 3.6 0.1 13 26 564 577 563 578 0.91
7 27 0.062 1.2e+02 3.6 0.1 13 26 613 626 612 627 0.91
8 27 0.062 1.2e+02 3.6 0.1 13 26 662 675 661 676 0.91
9 27 0.062 1.2e+02 3.6 0.1 13 26 711 724 710 725 0.91
10 27 0.062 1.2e+02 3.6 0.1 13 26 760 773 759 774 0.91
11 27 0.062 1.2e+02 3.6 0.1 13 26 809 822 808 823 0.91
12 27 0.062 1.2e+02 3.6 0.1 13 26 858 871 857 872 0.91
13 27 0.062 1.2e+02 3.6 0.1 13 26 907 920 906 921 0.91
14 27 0.062 1.2e+02 3.6 0.1 13 26 956 969 955 970 0.91
15 27 0.062 1.2e+02 3.6 0.1 13 26 1005 1018 1004 1019 0.91
16 27 0.062 1.2e+02 3.6 0.1 13 26 1054 1067 1053 1068 0.91
17 27 0.062 1.2e+02 3.6 0.1 13 26 1103 1116 1102 1117 0.91
18 27 0.062 1.2e+02 3.6 0.1 13 26 1141 1154 1140 1155 0.91
19 27 0.062 1.2e+02 3.6 0.1 13 26 1190 1203 1189 1204 0.91
20 27 0.062 1.2e+02 3.6 0.1 13 26 1239 1252 1238 1253 0.91
21 27 0.062 1.2e+02 3.6 0.1 13 26 1288 1301 1287 1302 0.91
22 27 0.062 1.2e+02 3.6 0.1 13 26 1337 1350 1336 1351 0.91
23 27 0.062 1.2e+02 3.6 0.1 13 26 1386 1399 1385 1400 0.91
24 27 0.062 1.2e+02 3.6 0.1 13 26 1435 1448 1434 1449 0.91
25 27 0.075 1.5e+02 3.3 0.0 13 26 1484 1497 1483 1498 0.90
26 27 0.062 1.2e+02 3.6 0.1 13 26 1533 1546 1532 1547 0.91
27 27 2.9 5.7e+03 -1.7 0.1 10 18 1672 1680 1670 1681 0.76

Sequence Information

Coding Sequence
ATGATTATTGAAAACCCAGACGCTTTTAAATCGTGGTTGACGTCCATATTGGAACCTCTATGTGACGCAGACCCCGCCGCTCTGGCCAAGTACGTGTACGCGCTGGTGAAGAAGGACAAGCCGTTGGACGAGCTGCGAGAGGGCATGCTGGACCAGTTGGACGTGTTCCTGCAGCAGGAAACCAGACCCTTTGTAGACATGTTATTTAAGTCACTGGAAACACTGGAGTACTTGAAGCCCTCCGAAGAAAAGAAGGAGCCTTCACCCCCTCCAGAACCTGTGGAGCAGGAGAAGGGAGCAGAGAACGAGAATCATGTACCCCCGCTGCCTCCCGCGGACAAGCCTCCGCTGCGGCCGCGAATCGACAGCGGCAACGGCGTGCACCGAGTCGTGGTGCCGCGCTCCAGGCCGCACCCGCCGCACGAGCAGACTCTAGTGAAGGTTCTACCAACAGAGCTTCTTGAAGAGCCAGTGGAACCACCGCGGAGAAGAGAACGGAGGACTGATTCTTTGCGCGACAAGGAGGAGCGTCGccggcgccgctcgcgctcgtgggagcggcgcgcgcggccccGCCGGGTCACGCGGGACGGCGAACACGAGCGGAGAAGACCTCCGTCGCGCTCGCCCTCGCCGCGCGGCCGCTACCGCAACCGcagcccgccgcccgccgcgcccgacaGACATAACAGCCGCTCTAGatcAAGGTCCCCGGGACCGATTCGCGATCGAGAGCGAGAACTGGAGAGGGAAAGAGAGCGAGTGCGGGCGCCGCGCGAGTTAGAGAGGGACAGGATGTCGCGCGACAGGGAGCACAGAGACAGAATATCTCGCTCCAGAGATAGAGACAGGTCGCGCGACCGGTCACGCGACCGCTCGGTGTCCCCGCACGGCGACACGCGGCTGGAGCACACCGACCCCTACAAGAGGCGCTGCAGAGACTTTGACGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACAGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGGTGTGTATCAAACTCTCTTTATGTTTCCACCAGTGAAAGGCTACTGCATGCGCGGCGACCTCTGCGAGTGGGACCACGGCGTGGACCCTGTCGTGCTGGAGGACGCCACGCTCACCAGGGTGCTGGCCATCCCGCCGCCCGTGCCTGAGTACAACCCGGCGGCCCCCGACATCTGGGGCGGCGGCGTGGTGGGGGGCTTCGTGCCGCCCTCGATACCGCACCTGCCGCACATGCCGCACCACCTGGCGCCCCGGGAGCTAGTGCCTATACCGAGAGTCCGTCACGAGCCGCCCATGGGCGCGACcatgccgcccgcgccgcgccaccCCGCGCCCATGAAGAATAACTTCGACTACAACAGACTCGGTCCGTCGAGGCCCCCCCACCCGCGCAACAGCGCCAACTGTTCGTTGGAGGTGAAGAAGGTGCCCCCGGGCCTCAACGACATCACGCACCTCAACAACCACTTCTGCAAGTTTGGCAAGATTGTCAACATACAGGTATGCTTCGAGGGGGATCCAGAAGGCGCTCTGATCACATTCTCCAACCCGACGGAGGCCAACGTGGCGTACAAGAGCACGGAGGCCGTGCTCAACAACAGGTTCATCAAGGTGTTCTGGCACAACCCTGAGAACAAACAAGAGAACACGGCGCCCGGCGGAGTGAGAAACGACGTGAACAAGCAGACAGACAGAAACACGCATCTCTCGCAACACAAGGTGCTCATCAACCGGGACAACATCAAAGCCACCGCCGACAACAAACAGAACGCGGCCGACAAGCTAGCCAAAGAGACCAACGGCCAGGAGCCGAAGAAGGAGCCGGTGAAGAAGGCGGACACGACGAGCAAACAAGTGCAGGAGATGCACCGGCGCGCGCAGGCGCTGCTGCAGACGCAGCTGAGGCAGCAGAAACTGCTCATCGAGCGCCTCGAGACCGGTAACGTTACGGAGACGCAGAGAGCGGCTCTAATGGAAGCGATCAACGCGTCGCAGGAGGGCATCGAGAAGCTGAGGAAAGAGCTGGTCGCGTACAACGGCATGGCCAAGCAGATGCAGGACGACTCCGTGTCCAGATCGATGTCGCGCCTCCACCTGAGCCAGGCGAACGCGAAGAAGCCAAAGACGCCACAGGAGGCGCAGAAGGAAATCCTGGACGCCGAGCTGGACATTATCACCAAACAACAGGAGGGCCAAGATGTGACGGAGCTGGCGCGGAAGATCGCGGAGATGCGGCGGCAGATGGCGCTGCAGTTCCCCtcgcacgccgccgcgcgcaGGCCGCACTCCAGGTACCTACAATGTTTATGTTCAGGAGGGCCAAGACGTGACGGAGCTGGCGCGGAAGATCGCGGAGATGCGGCGGCAGATGGCGCTGCAGTTCCCCtcgcacgccgccgcgcgcaGGCCGCACTCCAGGAGGGCCAAGACGTGACGGAGCTGGCGCGGAAGATCGCGGAGATGCGGCGGCAGATGGCGCTGCAGTTCccctcgcccgccgccgcgcgcaggCCGCACTCCAGGTATCTACAATGTTTATGTTCAGGAGGGCCAAGACGTGACGGAGCTGGCGCGGAAGATCGCGGAGATGCGGCGGCAGATGGCGCTGCAGTTCCCCtcgcacgccgccgcgcgcaGGCCGCACTCCAGGAGGGCCAAGACGTGACGGAGCTGGCGCGGAAGATCGCGGAGATGCGGCGGCAGATGGCGCTGCAGTTCCCCtcgcacgccgccgcgcgcaGGCCGCACTCCAGGTACCTACAATGTTTATGTTCAGGAGGGCCAAGACGTGACGGAGCTGGCGCGGAAGATCGCGGAGATGCGGCGGCAGATGGCGCTGCAGTTCCCCtcgcacgccgccgcgcgcaGGCCGCACTCCAGGAGGGCCAAGACGTGACGGAGCTGGCGCGGAAGATCGCGGAGATGCGGCGGCAGATGGCGCTGCAGTTCccctcgcccgccgccgcgcgcaggCCGCACTCCAGGTATCTACAATGTTTATGTTCAGGAGGGCCAAGACGTGACGGAGCTGGCGCGGAAGATCGCGGAGATGCGGCGGCAGATGGCGCTGCAGTTCCCCtcgcacgccgccgcgcgcaGGCCGCACTCCAGGAGGGCCAAGACGTGACGGAGCTGGCGCGGAAGATCGCGGAGATGCGGCGGCAGATGGCGCTGCAGTTCCCCtcgcacgccgccgcgcgcaGGCCGCACTCCAGGGGCGGTCGTTTCAACCCCGCGATGCGGTACACGCGCGGCGGTCTGGCCGCCAAGGGGTTCAGCGTCAACCAGTCGGTGGACCATCGGCCGCGGGCGCTGCTGGTCTCCGGCTTCGAGCCTGAGGAGCTGGAGGCGTTGCAGCAGCACTTCGCGCAATTCGGCGAGATCACCGCCAAGGAGGTGAACCTGTCGGTGCCGGAGCTGGTGGTGCAGTtccgcgcgcgcgcgcacgccgagcaggcgctgctgcgcgcgcgACAGTTCAACGACAGGACGCTCTCCATAACGTGGGTGACGAACAACAAGGCGCtgagcgccgcgcccgcgcacaaCGGAGCCAGCGACAACCCCGCGCCCGAACACAAACACTTGCAGACGCCGCAGGAGCTGTCGGAGGACGCGCTTCTGCGCTTCGACGAGGAGGAAGAAGACGAAGAGGACCGCTCCTGGAGACGTTGA
Protein Sequence
MIIENPDAFKSWLTSILEPLCDADPAALAKYVYALVKKDKPLDELREGMLDQLDVFLQQETRPFVDMLFKSLETLEYLKPSEEKKEPSPPPEPVEQEKGAENENHVPPLPPADKPPLRPRIDSGNGVHRVVVPRSRPHPPHEQTLVKVLPTELLEEPVEPPRRRERRTDSLRDKEERRRRRSRSWERRARPRRVTRDGEHERRRPPSRSPSPRGRYRNRSPPPAAPDRHNSRSRSRSPGPIRDRERELERERERVRAPRELERDRMSRDREHRDRISRSRDRDRSRDRSRDRSVSPHGDTRLEHTDPYKRRCRDFDVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHSVDPVVLEDATLTRVLAIPPPVPGVYQTLFMFPPVKGYCMRGDLCEWDHGVDPVVLEDATLTRVLAIPPPVPEYNPAAPDIWGGGVVGGFVPPSIPHLPHMPHHLAPRELVPIPRVRHEPPMGATMPPAPRHPAPMKNNFDYNRLGPSRPPHPRNSANCSLEVKKVPPGLNDITHLNNHFCKFGKIVNIQVCFEGDPEGALITFSNPTEANVAYKSTEAVLNNRFIKVFWHNPENKQENTAPGGVRNDVNKQTDRNTHLSQHKVLINRDNIKATADNKQNAADKLAKETNGQEPKKEPVKKADTTSKQVQEMHRRAQALLQTQLRQQKLLIERLETGNVTETQRAALMEAINASQEGIEKLRKELVAYNGMAKQMQDDSVSRSMSRLHLSQANAKKPKTPQEAQKEILDAELDIITKQQEGQDVTELARKIAEMRRQMALQFPSHAAARRPHSRYLQCLCSGGPRRDGAGAEDRGDAAADGAAVPLARRRAQAALQEGQDVTELARKIAEMRRQMALQFPSPAAARRPHSRYLQCLCSGGPRRDGAGAEDRGDAAADGAAVPLARRRAQAALQEGQDVTELARKIAEMRRQMALQFPSHAAARRPHSRYLQCLCSGGPRRDGAGAEDRGDAAADGAAVPLARRRAQAALQEGQDVTELARKIAEMRRQMALQFPSPAAARRPHSRYLQCLCSGGPRRDGAGAEDRGDAAADGAAVPLARRRAQAALQEGQDVTELARKIAEMRRQMALQFPSHAAARRPHSRGGRFNPAMRYTRGGLAAKGFSVNQSVDHRPRALLVSGFEPEELEALQQHFAQFGEITAKEVNLSVPELVVQFRARAHAEQALLRARQFNDRTLSITWVTNNKALSAAPAHNGASDNPAPEHKHLQTPQELSEDALLRFDEEEEDEEDRSWRR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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