Basic Information

Insect: Trichogramma pretiosum
Gene Symbol: -
Assembly: GCA_000599845.3
Location: NW:214006-219128[-]

Transcription Factor Domain

TF Family: zf-BED
Domain: zf-BED domain
PFAM: PF02892
TF Group: Zinc-Coordinating Group
Description: The BED finger, which was named after the Drosophila proteins BEAF and DREF, is found in one or more copies in cellular regulatory factors and transposases from plants, animals and fungi. The BED finger is an about 50 to 60 amino acid residues domain that contains a characteristic motif with two highly conserved aromatic positions, as well as a shared pattern of cysteines and histidines that is predicted to form a zinc finger. As diverse BED fingers are able to bind DNA, it has been suggested that DNA-binding is the general function of this domain [3].
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 26 0.0071 0.53 9.8 2.0 13 44 153 181 145 181 0.90

2 26 0.0024 0.18 11.3 1.1 19 43 187 208 184 209 0.91

3 26 0.56 42 3.8 0.5 19 44 215 237 212 237 0.86

4 26 0.0021 0.16 11.5 1.4 10 44 235 265 228 265 0.85

5 26 0.099 7.4 6.2 1.5 15 44 267 293 266 293 0.88

6 26 0.85 63 3.2 0.2 19 43 299 320 297 321 0.83

7 26 0.5 37 3.9 3.0 14 44 322 349 311 349 0.88

8 26 0.03 2.3 7.8 2.2 19 44 355 377 353 377 0.94

9 26 0.0072 0.54 9.8 0.0 19 44 383 405 380 405 0.94

10 26 0.14 10 5.7 1.2 19 44 439 461 436 461 0.94

11 26 0.0058 0.43 10.1 0.3 19 43 467 488 464 489 0.93

12 26 0.46 35 4.0 0.7 18 43 494 516 489 517 0.85

13 26 0.02 1.5 8.4 1.2 15 44 679 705 674 705 0.85

14 26 0.013 0.97 9.0 2.2 1 44 694 733 694 733 0.93

15 26 9.4 7e+02 -0.1 7.5 3 30 724 757 722 765 0.72

16 26 2.8 2.1e+02 1.5 0.5 19 43 767 788 764 789 0.76

17 26 1.2 93 2.7 3.1 14 43 790 816 782 817 0.79

18 26 0.00076 0.057 12.9 0.3 19 44 823 845 820 845 0.92

19 26 0.32 24 4.6 0.3 19 43 851 872 848 873 0.83

20 26 0.47 35 4.0 0.3 19 44 879 901 876 901 0.86

21 26 0.56 42 3.8 1.2 15 44 903 929 901 929 0.90

22 26 0.0012 0.09 12.3 0.7 18 44 934 957 932 957 0.91

23 26 0.19 14 5.2 0.5 19 30 963 976 960 990 0.78

24 26 0.00033 0.025 14.1 1.3 16 44 988 1013 975 1013 0.90

25 26 0.088 6.6 6.3 0.5 19 32 1019 1034 1017 1045 0.77

26 26 0.0018 0.13 11.7 1.5 16 44 1044 1069 1035 1069 0.90

#	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	26	0.0071	0.53	9.8	2.0	13	44	153	181	145	181	0.90
2	26	0.0024	0.18	11.3	1.1	19	43	187	208	184	209	0.91
3	26	0.56	42	3.8	0.5	19	44	215	237	212	237	0.86
4	26	0.0021	0.16	11.5	1.4	10	44	235	265	228	265	0.85
5	26	0.099	7.4	6.2	1.5	15	44	267	293	266	293	0.88
6	26	0.85	63	3.2	0.2	19	43	299	320	297	321	0.83
7	26	0.5	37	3.9	3.0	14	44	322	349	311	349	0.88
8	26	0.03	2.3	7.8	2.2	19	44	355	377	353	377	0.94
9	26	0.0072	0.54	9.8	0.0	19	44	383	405	380	405	0.94
10	26	0.14	10	5.7	1.2	19	44	439	461	436	461	0.94
11	26	0.0058	0.43	10.1	0.3	19	43	467	488	464	489	0.93
12	26	0.46	35	4.0	0.7	18	43	494	516	489	517	0.85
13	26	0.02	1.5	8.4	1.2	15	44	679	705	674	705	0.85
14	26	0.013	0.97	9.0	2.2	1	44	694	733	694	733	0.93
15	26	9.4	7e+02	-0.1	7.5	3	30	724	757	722	765	0.72
16	26	2.8	2.1e+02	1.5	0.5	19	43	767	788	764	789	0.76
17	26	1.2	93	2.7	3.1	14	43	790	816	782	817	0.79
18	26	0.00076	0.057	12.9	0.3	19	44	823	845	820	845	0.92
19	26	0.32	24	4.6	0.3	19	43	851	872	848	873	0.83
20	26	0.47	35	4.0	0.3	19	44	879	901	876	901	0.86
21	26	0.56	42	3.8	1.2	15	44	903	929	901	929	0.90
22	26	0.0012	0.09	12.3	0.7	18	44	934	957	932	957	0.91
23	26	0.19	14	5.2	0.5	19	30	963	976	960	990	0.78
24	26	0.00033	0.025	14.1	1.3	16	44	988	1013	975	1013	0.90
25	26	0.088	6.6	6.3	0.5	19	32	1019	1034	1017	1045	0.77
26	26	0.0018	0.13	11.7	1.5	16	44	1044	1069	1035	1069	0.90

Sequence Information

Coding Sequence: ATGGAATCCAGTGGTCTCTTCAGCTGTCCCATCagGGTGAAAAACGAACCCTGTGATACGTCTCTTATTGACAATGATGACAATGGAATCGATGAGGTGCCTGATGTTAAAAATTTCCGATTCTCCAGGGAATATTCCACGTTTCATGACGGTGACAAAAATCACGAACATAAATTTGACGAAATGCAAATTTTGTTTGAGTGCAAAGACGTCAAGCTTATTATGAATTCAttagaaaataagaaaactgACGATTATTCACCAAAATACTTGCGGAATAGGAAGTATAGCGACGACGAAACTCaaaatgcaattaaaatagaaactcTGGATGGAGTCAAAAAGgaaattgatttgaatttcgatTATGAATTTGCCGAGCATAATGAAAAGAGAAGTGATCAAAAGGATTTCAACGATAAACATAGACTCAAAACAAACATCGATTCTGTGCACACGGGTACCAAAAATACGTGCGATACGTGCAGAAAGACGTTCAAAAGAAAGGCCGATATGAAGAAGCATGTTCAATCAGTTCATAATGGTGTCACCCACTCATGTActatttgtggaaagacataTAAAAGGAAGGGTGATTTGACGAGGCACGTTCAATCAGCGCATGATGGTGTCACCCACTCGTGTACTATTTGcggaaaattgtttcaatataaaattagtCTTAAAagccacatcgattcagtgcacAATGGAACCAAACATGCATGTGACGTTTGcggcaagaaattttcatttaaaagtaatcTCCAAgcccacatcgattcgatgcaCAACGGGACGAAACATATGTGCAGTACATGTGGAAAGATGTTTACAAGGAAGGGTGATCTGACGAGGCATGTTCAAACAGCCCATAATGGTGTCACTTCctcgtgtgatatttgtgaaaagacattctcaaCAATTTGGTATCTCCAAActcacatcgattcgatgcaCAATGGGACCAAATATGCATGTGACGTTTGTGGCAAgaaatttgcatttaaatGTAATCTCCAAACCCACATCGCatcgatgcataatggtgtcacccactcatgtaatatatgtgtcaagaaattttcaacaaaatataatCTCCAAGCCCACATAGATTCAATGCACAATGGGATTACTTACTCATGTGATTTTTGCGGCAAGACGTTTGCATGGAAGAGTGATCTGTCGAGGCATGTTCAATCAgcgcataatggtgtcacctACTCATGTGATACTTGCGGAAAGgcatttattcaaaaatataaactcaaaatccacatcgaatCGAGGCACAATGGGATTACTCACTCATGTGATAGTTGCGGCGAgacattttcatcgaaaaataatctcaaaataCACTTTGTTTCGATGCATAAACATGCCCCTCTAGCATGTGACtattgtggaaaaaaatttaaatatccaTCTGGTCTCCATAAGCATGTTAAATCGTCGCATGATGGTACCACCCATTCATGCAAGACATGCGGAAAGACGTTTGGAAAAAGAGCAAATCTCAAAGCTCATATCGATCTGGCTCATCGCACCCGCATTatGGAATCTAGTGATGTACTCAATTCTGTTGTCAgGGTAAAAGAGGAGCCTCGTGACGAATCGCTCATTGAAAACGATTACCATACCGTAGACGAGAAACCCGATCTGAAAAACTTTCAACTCTTGTCGTTTCCGAAAAACAATTCGACCCATACGCTTCGAGAACTTAATGACGAAATGGAAATAGTTTTTGAAAGTGAAGACGTCAAGCCTAACATTGATTTATTGACAATCCCGAAAATTGGTCaggattttcaaaatcacttGCAGAAAGTGAAAGACAGTGACGGTTATAAAACTCAAAACTTAATTAAAATCGAGGAAATGAAACAAGAAATTATCAATGACGTTGCAGaacaatttaattcaaatctCGATTGTGAAATTGTCgagcaaaatcaaaaaaagagaatttcgaaaaaatctgaCCAGCAACATGAGATCCAAACTCAGATTGATACGGTGCATAGTGATGGTATCCACGCGTGTGAAACATGtggaaaaacatttaaatataaaagtaatgtCAAAACTCACGttgattcggtgcataaaaaaaaaacttatatatgTGATAATTGTGGAAAGTCATTTACTCTGAAAAGTAGTTTGAAAaaccacatcgattcagtgcacAATGGGACTAAACATACGTGCAGtacatgtggaaagacatttacGCATAAAAGTTATCTTAAAATACACATCGATGGAatacataatggtatcactCACTCCTGTGATAGTTGCGGCAAGACATTTACTCAGAAAGGTagtctcaaaatccacatcgattctGTGCACAATGGAACCAAATATGCATGTGACGTTTGtggcaagaaattttcatttaaatgtaatCTCCAAACCCACACCGAATCGATGCATAATGGGATTACTTactcatgtgatatttgcggaaagacgtATCAAAGAAAGGGTGATCTGATGAGGCACGTTCAATCAgcgcataatggtgtcacctattcatgtgatatttgtggaaaaacattcacaaaaaaaagttatctcaGAATCCACGTCGATTCcgtgcacaatggtgtcactcACTCATGTGATAGTTGCGGCAAGACATTTACTCAGAGAGGTAgtctcaaaacccacatcgattcgatgcaCAATGGAACCAAACATGCATGTGACGtttgcgacaagaaattttcattcaaatgtaATCTCCAAgcccacatcgattcgatgcaCAATGGGATTTTTCactcatgtgatatttgtggaaagacgTATAAAAGTAAGGGTGATCTGATGAGGCACGTTCAATCAGCGCATAATGATGTCACCTattcatgtgatatttgtggaaaaacATTCTCAAGAAATTGGTATCGCCaaacccacatcgattcgatcCACAATGGTGTCAAACATGTATGCGATATTTGCGGCAAAACGTTTAAAAGGAAGAGTGATCTGACGAAGCATGTTCAATCAgcgcataatggtgtcacccactcatgtgatatttgtggaaagacattctcaaGACATTGGTATCTCCaaacccacatcgattcgatccacaatggtgtcaaacatgtatgcgatatttgcggaaaggcGTATAAAGGAAAGAGTAAACTGTATAAGCACGTTCAATCCGCGCACAGTGGTGTCACCCATTCATGA
Protein Sequence: MESSGLFSCPIRVKNEPCDTSLIDNDDNGIDEVPDVKNFRFSREYSTFHDGDKNHEHKFDEMQILFECKDVKLIMNSLENKKTDDYSPKYLRNRKYSDDETQNAIKIETLDGVKKEIDLNFDYEFAEHNEKRSDQKDFNDKHRLKTNIDSVHTGTKNTCDTCRKTFKRKADMKKHVQSVHNGVTHSCTICGKTYKRKGDLTRHVQSAHDGVTHSCTICGKLFQYKISLKSHIDSVHNGTKHACDVCGKKFSFKSNLQAHIDSMHNGTKHMCSTCGKMFTRKGDLTRHVQTAHNGVTSSCDICEKTFSTIWYLQTHIDSMHNGTKYACDVCGKKFAFKCNLQTHIASMHNGVTHSCNICVKKFSTKYNLQAHIDSMHNGITYSCDFCGKTFAWKSDLSRHVQSAHNGVTYSCDTCGKAFIQKYKLKIHIESRHNGITHSCDSCGETFSSKNNLKIHFVSMHKHAPLACDYCGKKFKYPSGLHKHVKSSHDGTTHSCKTCGKTFGKRANLKAHIDLAHRTRIMESSDVLNSVVRVKEEPRDESLIENDYHTVDEKPDLKNFQLLSFPKNNSTHTLRELNDEMEIVFESEDVKPNIDLLTIPKIGQDFQNHLQKVKDSDGYKTQNLIKIEEMKQEIINDVAEQFNSNLDCEIVEQNQKKRISKKSDQQHEIQTQIDTVHSDGIHACETCGKTFKYKSNVKTHVDSVHKKKTYICDNCGKSFTLKSSLKNHIDSVHNGTKHTCSTCGKTFTHKSYLKIHIDGIHNGITHSCDSCGKTFTQKGSLKIHIDSVHNGTKYACDVCGKKFSFKCNLQTHTESMHNGITYSCDICGKTYQRKGDLMRHVQSAHNGVTYSCDICGKTFTKKSYLRIHVDSVHNGVTHSCDSCGKTFTQRGSLKTHIDSMHNGTKHACDVCDKKFSFKCNLQAHIDSMHNGIFHSCDICGKTYKSKGDLMRHVQSAHNDVTYSCDICGKTFSRNWYRQTHIDSIHNGVKHVCDICGKTFKRKSDLTKHVQSAHNGVTHSCDICGKTFSRHWYLQTHIDSIHNGVKHVCDICGKAYKGKSKLYKHVQSAHSGVTHS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity: iTF_01485033;
90% Identity: iTF_01485033;
80% Identity: iTF_01485033;