Basic Information

Insect: Aphidoletes aphidimyza
Gene Symbol: -
Assembly: GCA_030463065.1
Location: CM059999.1:43007005-43010785[+]

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 21 0.0048 0.27 11.9 0.7 1 23 190 212 190 212 0.98

2 21 0.00075 0.042 14.5 4.0 3 23 220 240 219 240 0.97

3 21 0.00087 0.048 14.3 0.3 2 23 341 362 340 362 0.97

4 21 6.6e-05 0.0036 17.8 1.4 2 23 369 390 368 390 0.96

5 21 0.0034 0.19 12.4 0.6 1 23 412 434 412 434 0.98

6 21 7.3e-06 0.00041 20.8 0.2 2 23 441 462 440 462 0.97

7 21 0.0063 0.35 11.5 2.3 1 23 466 489 466 489 0.96

8 21 0.0013 0.074 13.7 1.6 1 23 534 556 534 556 0.98

9 21 2.2e-05 0.0012 19.3 3.3 2 23 563 584 562 584 0.96

10 21 0.2 11 6.8 0.3 2 23 589 611 588 611 0.89

11 21 0.0029 0.16 12.6 0.7 2 23 637 658 636 658 0.95

12 21 1.7 95 3.9 9.7 1 21 741 761 741 764 0.94

13 21 0.4 22 5.9 2.5 1 21 772 792 772 793 0.96

14 21 0.31 17 6.2 0.1 2 23 803 825 802 825 0.93

15 21 0.00024 0.013 16.0 1.2 1 23 842 864 842 864 0.97

16 21 2.2e-07 1.2e-05 25.6 4.2 1 23 871 893 871 893 0.98

17 21 7.7e-08 4.3e-06 27.0 2.5 3 23 907 927 905 927 0.96

18 21 0.0021 0.12 13.1 3.6 1 23 933 955 933 955 0.98

19 21 7.5e-07 4.2e-05 23.9 1.9 2 23 962 983 961 983 0.96

20 21 2.8e-06 0.00015 22.1 2.5 1 23 989 1012 989 1012 0.98

21 21 0.00081 0.045 14.3 0.3 5 23 1021 1041 1019 1041 0.92

#	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	21	0.0048	0.27	11.9	0.7	1	23	190	212	190	212	0.98
2	21	0.00075	0.042	14.5	4.0	3	23	220	240	219	240	0.97
3	21	0.00087	0.048	14.3	0.3	2	23	341	362	340	362	0.97
4	21	6.6e-05	0.0036	17.8	1.4	2	23	369	390	368	390	0.96
5	21	0.0034	0.19	12.4	0.6	1	23	412	434	412	434	0.98
6	21	7.3e-06	0.00041	20.8	0.2	2	23	441	462	440	462	0.97
7	21	0.0063	0.35	11.5	2.3	1	23	466	489	466	489	0.96
8	21	0.0013	0.074	13.7	1.6	1	23	534	556	534	556	0.98
9	21	2.2e-05	0.0012	19.3	3.3	2	23	563	584	562	584	0.96
10	21	0.2	11	6.8	0.3	2	23	589	611	588	611	0.89
11	21	0.0029	0.16	12.6	0.7	2	23	637	658	636	658	0.95
12	21	1.7	95	3.9	9.7	1	21	741	761	741	764	0.94
13	21	0.4	22	5.9	2.5	1	21	772	792	772	793	0.96
14	21	0.31	17	6.2	0.1	2	23	803	825	802	825	0.93
15	21	0.00024	0.013	16.0	1.2	1	23	842	864	842	864	0.97
16	21	2.2e-07	1.2e-05	25.6	4.2	1	23	871	893	871	893	0.98
17	21	7.7e-08	4.3e-06	27.0	2.5	3	23	907	927	905	927	0.96
18	21	0.0021	0.12	13.1	3.6	1	23	933	955	933	955	0.98
19	21	7.5e-07	4.2e-05	23.9	1.9	2	23	962	983	961	983	0.96
20	21	2.8e-06	0.00015	22.1	2.5	1	23	989	1012	989	1012	0.98
21	21	0.00081	0.045	14.3	0.3	5	23	1021	1041	1019	1041	0.92

Sequence Information

Coding Sequence: atgttgaaattagaAATAAATATAGATCGGGCATGTCGATCATGCCTTGAGGAAAGCGATAGCATGCTTAAAGTTCAAGATTCATTGGACATTGATTCATTATTGAAACCGAGTGTTACGATTGCCGAAATTTTGATGGAATGTACAGAAATAAAGATAATGCCTGATGACGAATTGCCACAATCAATATGCAcaaattgtgtaaaaaaagTGCAAGATGCATTCAGTTACAAGAAAATGTGTGAAGAAAGCGATGAAAAGCTACGAATGTACCTAAATCAAGATATAAAAGGATTTatacaaaatgatgaatatgaaataagCTCGGTGTTGGTACCAGAATTGGTGAATGTTACTGATGCATACGTGCGAGACGATTTATTCGATGagaattttgatgatgatcaTTTCGATGCGGAGAATCTTGATGGTGatgtatttgaaatgagtCCAAATCAAAGTGACTGTGAAACAGAAGCAAAAGAACCAAATTCAGTTACGAAAGAACAATACCGAAAAGGTGAAGACTTTCGATTGGTTAACAATGCCAAACGAGTTAATGGACGGTATCAATGTGGAATGTGTGAAAAAACGTTAGCCGATCGGCGAACATTTCTGTTGCATACGCGACTTCATTTGGGCAAAAATTTAAAGCATTGTGATGTATGTGGCAAAGGTTTtgcaaagaaaaatcatttggatCGTCACAAATTGACACATTCGGCAAAGCCAAAGAAGCGAAAGCATACACGGAATGAAGTAAATTCGAGTAAATTGGAAGAGCCAAGCCAGAAATGCccaaagaaaatcgaaattgaaagcACAAGAGAGACAACTGTGAAAATATGCAAAGAGGAAGAACCATCGGAAAGTAGTTTAAATGATAGCTCTGTGACAGCCGCAGATGACTGCATAAAAGACGAACATGAATCGATGAATGCGAATAAATCACGAAGTATTGGAATTGATGAAGATGAACAGCGCCTTTTGAATTCggcaaaaatgataaatgaccGATTGCAATGTCCGATTTGTCCTCGAACACTTTCACAGCGAAAAATTCTAAAACTTCACATTCGATCACATTTGGGTAAAAATCTATTGCACTGTAAAATTTGTAATCGTGGATTTGCAAAAGgttcaaatttaaatcgacACATGCTTCTGCATTGCACCATTGATaatgatgaagaaaatcaaattattcaagCAGCCACTCAAACTAATGGCTGCTATAGTTGCccattttgtgcaaaaacattaattgatCGTCAAACATTTCGATTGCATATCCGTTTGCACATTTCCAAAGGACTTCTTCGGTGTGAAATTTGCAATCGTGGTTTTGAAGATGCTGATGAACTTCAGAAGCATATGACCAGCCATGGAAATGAATTTACTTGCAACCACTGCAGTCTAGTGTTTAATACGTTTGGTGAGCGGAAATCCCATTTGAGAGAGGTTCATAGCAACGAAATGAAAGACTCAGACCACACCGTGGAAATCacagaaaaaccaaagaaGAGGAAGAAATCGGATGattgtgatgatgatgaggaTAAATACATTGTGAAAGAATCAAATTGTGTGAATGGccgttttgaatgtgttttctGTAAAAAGACTTTGGCCAATCGGACTACATTGAAGTATCacattcgattgcatttggGAAAACATTTgctaaaatgtgaaatatgcaATCAAggtttttccaaaaaaagtcatttgaaacGGCATTTTGCCACTcatgcaaagaaaaaaccatGTCGACACTGTGATGCTGTGTTCGAAACATATGATGAACGTAAAATTCATACCGCTGCCGTTCACAAAGATGTCGTCCAAAAtcacaccaacaaaacaatcatTCCGGCATGGACGCAAGCAAATGGTCAAAAGCAGTGCATTTGTATGTTATGCGACATGACATTCGGACGAATTTCAGATTTGCAAAGCCATCTGAACTGGCACACAGTTGATCCATCATCCATCCAGGCAATCGATTTCACcaccaaaaaagaaatgtttacaaaattcaatcattttaaccATGATAATCAAGATTTTGCAGCCATTTTGCAGAATGCATTACGGCCGAATTCTGGCGATCTcacaaaaatgtattgcatAACCAATGAACATGGATGGGAATTGAGCCTTAGCGATTCAGAAACCGAAAATGATGATGTAAAACCGGAAATTTGCCCAGAACCAAAGTATAGGTGTAGCAAGTGTGGCCAACACTTTAATCGATTGCATAAATTAATGTGCCATATGAAATGTGACCATGAATGTGTGGAATTTCAAGAATTCAAGTGTTCGCATTGCATGcaacattttccaaaccaaACGATATTAGAGAAGCATTTACGCCAGCAATGTGAAAATAACAGTAAAACCATTGTGTGCTCGATGTGCAACAATCGATTCGCATGGAAAAGCAGCCTCGACAAACATGTTGCTATTTATCATGAGGCTGATTCAAAGTATATTTGTGACAAGCAAACCAATATTAAACCATTTAATTGTGATAAATGTGTTAAGTCTTTTTATCGAATTAAGCAATTGGAAGCACATCAATCGAGCCATGTGCCACGCCAGAAGAGATTCTCATGTGACATTTGCAAAAAATGCTTCAGCCGAACCGATAATCTAAAATCACACATGCGAGTCCATATACCAATGGAAGAGCGTGAAATTACTAATAAGCATTTGTGCTCATATTGCGGACGaagtttttcaaattcatcgaatttaaATGTACATATACGGCGGCATACAAATGAACGCCCGTTTTCTTGTGAATTTTGTAATGCACGATTTCCAAGATCATCCGATTTACAGTGTCATCGAAGAACACATACCGGAgaaaaaacatgTGTATGCACTGTGTGTGGAAAAGGCTTTACTCGATCAAATAAATTGGTCCGCCATATGAGAATACACACCGGAGAGCGACCTTATAAATGCCAACACTGTGATCGTGCCTTCAcccaatcaaatgatttaacgTTACACGTGCGCCGATTGCACACAGGTGAAAAGCCATTTGGATGCTACTGCGGTGAGCGTTTCATTACAAACAGTTTATTACAAGTGCATCGGCGAACAACTGGACACATGGAGGATTCTACAGGCCCATCTACATCTATGCCATCAAATAGTGTTAACAATCCACATCGAAAATTTAATCCAAATGATGGCAAACGAACCGGAATTACCGCTGCACTATCAAGTTTTTTAAATACTGAACATGAAATGGAATCGGatgcaacacattttcaaaaactgtaa
Protein Sequence: MLKLEINIDRACRSCLEESDSMLKVQDSLDIDSLLKPSVTIAEILMECTEIKIMPDDELPQSICTNCVKKVQDAFSYKKMCEESDEKLRMYLNQDIKGFIQNDEYEISSVLVPELVNVTDAYVRDDLFDENFDDDHFDAENLDGDVFEMSPNQSDCETEAKEPNSVTKEQYRKGEDFRLVNNAKRVNGRYQCGMCEKTLADRRTFLLHTRLHLGKNLKHCDVCGKGFAKKNHLDRHKLTHSAKPKKRKHTRNEVNSSKLEEPSQKCPKKIEIESTRETTVKICKEEEPSESSLNDSSVTAADDCIKDEHESMNANKSRSIGIDEDEQRLLNSAKMINDRLQCPICPRTLSQRKILKLHIRSHLGKNLLHCKICNRGFAKGSNLNRHMLLHCTIDNDEENQIIQAATQTNGCYSCPFCAKTLIDRQTFRLHIRLHISKGLLRCEICNRGFEDADELQKHMTSHGNEFTCNHCSLVFNTFGERKSHLREVHSNEMKDSDHTVEITEKPKKRKKSDDCDDDEDKYIVKESNCVNGRFECVFCKKTLANRTTLKYHIRLHLGKHLLKCEICNQGFSKKSHLKRHFATHAKKKPCRHCDAVFETYDERKIHTAAVHKDVVQNHTNKTIIPAWTQANGQKQCICMLCDMTFGRISDLQSHLNWHTVDPSSIQAIDFTTKKEMFTKFNHFNHDNQDFAAILQNALRPNSGDLTKMYCITNEHGWELSLSDSETENDDVKPEICPEPKYRCSKCGQHFNRLHKLMCHMKCDHECVEFQEFKCSHCMQHFPNQTILEKHLRQQCENNSKTIVCSMCNNRFAWKSSLDKHVAIYHEADSKYICDKQTNIKPFNCDKCVKSFYRIKQLEAHQSSHVPRQKRFSCDICKKCFSRTDNLKSHMRVHIPMEEREITNKHLCSYCGRSFSNSSNLNVHIRRHTNERPFSCEFCNARFPRSSDLQCHRRTHTGEKTCVCTVCGKGFTRSNKLVRHMRIHTGERPYKCQHCDRAFTQSNDLTLHVRRLHTGEKPFGCYCGERFITNSLLQVHRRTTGHMEDSTGPSTSMPSNSVNNPHRKFNPNDGKRTGITAALSSFLNTEHEMESDATHFQKL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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