Basic Information

Insect: Goniozus legneri
Gene Symbol: ZNF236
Assembly: GCA_003055095.1
Location: NCVS01000088.1:51872-57968[-]

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 23 6.5e-05 0.005 16.9 0.8 2 23 67 88 67 88 0.98

2 23 4.5e-07 3.5e-05 23.7 2.5 1 23 109 131 109 131 0.99

3 23 4.3e-06 0.00033 20.6 0.8 1 20 137 156 137 159 0.96

4 23 9e-06 0.00069 19.6 0.8 1 23 165 188 165 188 0.96

5 23 0.017 1.3 9.3 2.4 1 23 197 220 197 220 0.97

6 23 4e-07 3.1e-05 23.9 2.2 1 23 338 360 338 360 0.98

7 23 0.00025 0.019 15.1 1.1 1 23 366 388 366 388 0.99

8 23 0.00018 0.014 15.5 1.2 1 23 394 416 394 416 0.97

9 23 1.7e-06 0.00013 21.8 2.9 1 23 420 442 420 442 0.98

10 23 0.0079 0.6 10.4 5.4 1 23 496 518 496 518 0.98

11 23 4.6e-06 0.00036 20.5 3.8 1 23 524 546 524 546 0.99

12 23 1.1e-06 8.6e-05 22.5 1.3 1 23 552 574 552 574 0.98

13 23 0.00051 0.039 14.1 8.3 1 23 580 602 580 602 0.98

14 23 0.0021 0.16 12.1 1.3 2 23 952 973 951 973 0.97

15 23 8.9e-06 0.00068 19.6 2.7 1 23 979 1001 979 1001 0.99

16 23 5.5e-06 0.00042 20.3 0.8 2 23 1008 1029 1007 1029 0.95

17 23 1.6e-08 1.3e-06 28.2 1.6 2 23 1099 1120 1098 1120 0.98

18 23 0.0019 0.15 12.3 1.8 1 23 1126 1148 1126 1148 0.98

19 23 0.00048 0.037 14.2 1.7 3 23 1156 1176 1154 1176 0.98

20 23 3.7e-05 0.0029 17.7 1.6 1 23 1182 1204 1182 1204 0.98

21 23 5.1e-06 0.0004 20.4 0.3 2 23 1409 1430 1408 1430 0.97

22 23 8.8e-06 0.00068 19.6 1.6 1 23 1436 1458 1436 1458 0.98

23 23 2.1e-05 0.0017 18.4 5.7 1 23 1464 1487 1464 1487 0.97

#	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	23	6.5e-05	0.005	16.9	0.8	2	23	67	88	67	88	0.98
2	23	4.5e-07	3.5e-05	23.7	2.5	1	23	109	131	109	131	0.99
3	23	4.3e-06	0.00033	20.6	0.8	1	20	137	156	137	159	0.96
4	23	9e-06	0.00069	19.6	0.8	1	23	165	188	165	188	0.96
5	23	0.017	1.3	9.3	2.4	1	23	197	220	197	220	0.97
6	23	4e-07	3.1e-05	23.9	2.2	1	23	338	360	338	360	0.98
7	23	0.00025	0.019	15.1	1.1	1	23	366	388	366	388	0.99
8	23	0.00018	0.014	15.5	1.2	1	23	394	416	394	416	0.97
9	23	1.7e-06	0.00013	21.8	2.9	1	23	420	442	420	442	0.98
10	23	0.0079	0.6	10.4	5.4	1	23	496	518	496	518	0.98
11	23	4.6e-06	0.00036	20.5	3.8	1	23	524	546	524	546	0.99
12	23	1.1e-06	8.6e-05	22.5	1.3	1	23	552	574	552	574	0.98
13	23	0.00051	0.039	14.1	8.3	1	23	580	602	580	602	0.98
14	23	0.0021	0.16	12.1	1.3	2	23	952	973	951	973	0.97
15	23	8.9e-06	0.00068	19.6	2.7	1	23	979	1001	979	1001	0.99
16	23	5.5e-06	0.00042	20.3	0.8	2	23	1008	1029	1007	1029	0.95
17	23	1.6e-08	1.3e-06	28.2	1.6	2	23	1099	1120	1098	1120	0.98
18	23	0.0019	0.15	12.3	1.8	1	23	1126	1148	1126	1148	0.98
19	23	0.00048	0.037	14.2	1.7	3	23	1156	1176	1154	1176	0.98
20	23	3.7e-05	0.0029	17.7	1.6	1	23	1182	1204	1182	1204	0.98
21	23	5.1e-06	0.0004	20.4	0.3	2	23	1409	1430	1408	1430	0.97
22	23	8.8e-06	0.00068	19.6	1.6	1	23	1436	1458	1436	1458	0.98
23	23	2.1e-05	0.0017	18.4	5.7	1	23	1464	1487	1464	1487	0.97

Sequence Information

Coding Sequence: ATGTCGCTTACGGTGGACTGTCTCAACTTCGCGCTACTCATGATCTGCACGCGGgtatttcatttcgcgttaGGCCTGAGTGCGCAATATTATAAGTTCTTTATCGCTGACACACTGACcgctaaaataatttttcaggcCCAATTGGACGCCCACCTGAAACTGCACAGTGAGAAATGGTCGACGGAGGATGCGAGAAAGTGCAAGCTCTGCAACAAGCAATTCGTTCAGCCAGCGATGTATCGTCAGCATATACGCGAGCATTACAAGCTGCAGACAAAGGTGGTCATGCAGACCACGAAGGGTACCAAACAGAAGACCATGTACAAGTGCAAGATATGTCTGAAGTCGTTTCAGAAGCAGAGCCAGCTAACGCGACACATCCGAGTTCACACCGGCGAGAAACCCTTCAAGTGTACGATTTGCGGCCGTGCGTTCACTCAAAAGGGCTCGCTGCAGATTCACATATGGCATCACAAGGGTATACGACCGCACTCTTGCCCACGCTGCAACGCTAAATTTAGTCAGAAAGGAAATTTGAATGCTCATATCTTGAGGGTCCACAACATCCCCGAAGGCCAGCAGATTTATAGCTGCACGTTTTGCACGTGCGTTTTCACGAAGATGGGCAGCCTTAATGGTCATGTGAAGAGGGTGCACTCGAAAGAAATGgaggAACCTCCTCCGAAGTGCGACAGCTCCACTGAGGCCGAAATTAGAGCGACCGTCAACAACGTTATTCTACAGCTGGCTTCATTGCCGAACGGGACTAACGATGTCGTCGATTCCACCAATTCCGGGACAATTAATGCACCCAAAGACAATGACATTCTCCAACAAGCCCTCAAAAATAGTGGCTTGTCCAGTAAAGAGAAATCGCCAGAAGaCTCCTCGAACCCGAAAAAACCCGATGCACAAACAACGTATGTAACTTTGCTAGACAAAAATCCAGACGGTTCATTGAGAAAACTTCAAACCATCAAGCAGCGGTCGATTGGAAGAGTGAGGTGGTACGCTTGCACGTTTTGTCAcaaagaattcaaaaaaccATCGGATCTCATTCGCCATATGCGTATACACACGCACGAAAAACCATTCAAGtgttcATACTGCGCACGCACGTTCGCACTGAAGTCGACGATGCTGGCTCACGAACGTACACACACAGGCACGAAAAAGTACGCGTGTGAGTTGTGTAGCAGAAGTTTTGCCTGCAGTAGCAGTCTCACTGCCCACAtgaggcTGCACACAAAACCGCACAAATGTACGATTTGCGAGAAGTCATTCAGCTCTAACGGCGTATTAAAGAGCCATATGAAAACTCACgacaaagaaaaagataaaatactGTCCGAGACGAAGGAGGTAGTACCGCAAATTGTGCTACAGGAGCCGCTCGTTATCAGCGACGCGGGCGACAAAATCAGCGTGGCTCATGTGAAGCCGAAGCAGCAAGGTTACGAGGAAACCGGAGTAGCCAGACCGCACAAGTGCTGGTCCTGTTCGGCTGCTTTCAGGAAAATCAGCCACTTGAAGCAACATTATCGCAGGCACACAGGGGAACGTCCTTACAAGTGCCCGAAATGTGACAGgcGATTCACCTCGAACAGCGTACTCAAATCTCATTTACACACTCACGAAGATGCAAAGCCCTACAGCTGCGACGTTTGTGATCAAAAATTCTCAACGCAGAGCAGCATGAAGAGGCACTTAATTACGCACAGCAATAAAAGGCCGTTTATGTGTCCTTACTgtcataaaacttttaaaaccTCTGTCACGTGCAAGAAACACATGAAGTCCCACGTGCACGAGTTAGCTCAAGAGCAATTGGAACAGCAGAAAACGCAAAAGTTCGACACAAAATTACCGGGTCCATCAATGCCCTCGATTCACGACACTGCCCTTACACTTTCCGATGACATCGATTTCCAACCACAAATGGCACCAGATTTTACTCAAGCATTCTCGGACCAGTTCCAAAGTATCgaagcggagaaagagaaaacgttCTTAACGACGAATGTATCGGCAGAATCGATTGTTAACCaagaTATACCCGACATAGGAACGAATAATTTAGAACCGCAAACGTTACACGCGGATGAAACTGGTACGATAACTCTGTCGAACTACACGTCCGATCAGAGTTTCACCCAAGAAAGCATGAGAGAACTGGAAGAAACTTTGAATCGTCAACTCTTCAATATAGGAGTGAATTTAGGCTTGGGAAACAACTTGTCGAAACAGCTGGACGACCACAGTGACAATACTTTGGAAAATAGAGACCAACCagtattgaatataatttatgagaATGGGAAGAATTTAGAAACTCCCACTAATGCGATATTCACGTCTCAATTTGATTCGTTTGATATGAGTCAAATCACGTTACCATCGGATAACGATATTAATATAAGCTCGGCGAATTCTACCAGTATGGCGAGTATTTTGCCGAGATCGGTGAAAGAAGAGCTCATAACTGCTACGGCGAGGGGTAGCATTCAGGACGATCAAACGAAGAGCGATAAAGATGCAATATTGCTAAATCCGAAACAGGATTGCACCGCGACGTCTCGTCCTGTGCAATTTTGTCAAAAGTATCCTAAAGTCATAGCCAAAGCTGATACAACTGACATTTCGGATACGCAGGAAACGGTGCATCGCAATATTCAGCAAAACACAATTACTATGTCATGTGGTAACGAAAAAGCCACGCTTACATTCAAcgagGATTTCGAAAGTTCTATGCAATTGAAAACTCATACAGAAGCTAGTCCATTACAAACCGGTATTGAGAGATGCGACGTGAACAATCCTCTGAAAATTGTCGAGTGCGATTCATTACTTCAGTGCCATATGTGTGGTAAACAGGGATTCACGACTTCTGGTTTGAAGGagcatttaaaaattcatcgcggtGCTAAGGAATATCAGTGTACCGAATGTTCTCAGAGATTCTGTTCAAACGGTGGTCTCAGTCGACacatgaaaattcatactaACAAGCAacAATGGAAATGTCCtatttgcaataaaatgtTCACAAGCAAAGCTCAACTTAAATTACACAACAAGGAACACGATTCTAAATGGAAAATTACAGTAGAACCTGATAGTTCGCAAAGAGATCTGAATTCTCTGGATCCTGACCTTGCGTCCATAACAGATCTCGATTTAAATATCGACCCTTCGATCTCTGAAAAAGTATTGCTGGCCACTGTAGCTGAGAAAGAGTTAGCGAAGCAAACTGAAAATACCgatttgaaaacgaaaaaagagtacgaaaataaatgtgAATACTGTCCAAAAACATTTCGAAAACCGAGCGATCTCAAGAGACACATTCGGACGCACACAGGAGAAAGGCCATACAGTTGTGAATTTTGTGAAAAGAGTTTCGCTGTCAAATGCACTCTCGATTCGCATGTGAAAGTTCATACAGGCGCAAAGACTTTCGGCTGTCACGTTTGCAACAGTTTATTCTCTAGTAAGGGAAGCTTAAAAGTGCACATGCGACTGCATACGGGATCGAAGCCATTCACGTGTCCGATATGTGGTGCACGATTTAGAACGTCAGGGCACAGGAAAGTTCATTTGTCGAAGCACACGAAAAGCAGTACTAAACGGAAATCGAAACAGCCAGAAGTTGTCGAGGTATCCGACGTAGCAGTCGAGCTAGAGAAGAGTGTTGACACCGCGACAGTACAATCGACGATACCCGAAGGTGAAATCATACAGAGCGTCGAATATCCAAACCTGGACACCATCACAATCGACGCTAGTAGTCTGACTAACCAGATAACATTTGGAGCCGATGGTACAATTTTGAACAACAATTCCGTGTTGTCGTTGAACGAGAGCAATCAAATTGTAGCAAATCTGCATTTTCTGTTTACTAATGAGCTCGTTGGCAACCAGCTGGTTACCATACAGCCGGAAGATAATTTGTTACCGCAAGTACGAGGTACCGAGGAGAGCATCATTCACGACGAAACTCGAGTAAATGAGTTAATCGCGCCGAGTACCCTTCCTATGACTTGTAACGAATTAGTGATAACTAATTTGAGTGATAACTCAAATGTCGTGGACCAAGGAGAGATGCAGTTGGACTCTTGCATGGCCGTGATGCAGATGAACTCGACTGAGAGTTCTTTACCGGTGAAAGCAGAGCAGCAGTCGACGAAGAAACAAACAGCTAAGAGTAGTCAGGCGAAGAAGGAATGCGACATATGCGGCAAAACATTCCCAAAACCTTATCAAGTCGAAAGACACAAGAGGATTCACACCGGTGAACGTCCGTACAAATGCGACAGGTGCCCGAAATCTTTTGCTCAGAGATCTACTCTGCAATTGCACGAGAAGTATCACACAGGAGACAGGCCGTATCCTTGTTCGCATTGTAAATGTACATTCACTCAGAAAGGCAATCTGCAAACGCATTTGAAACGTGTTCATCAGATAGACGGTGAGAAGAAGATAAAACGTAGTCAGCAAGTTTTGACGGCCAAGCTCGAGACCGTCGATGAAGCAAAGTTGCTAAACttggatgaaatttcattcgtgtTGTAA
Protein Sequence: MSLTVDCLNFALLMICTRVFHFALGLSAQYYKFFIADTLTAKIIFQAQLDAHLKLHSEKWSTEDARKCKLCNKQFVQPAMYRQHIREHYKLQTKVVMQTTKGTKQKTMYKCKICLKSFQKQSQLTRHIRVHTGEKPFKCTICGRAFTQKGSLQIHIWHHKGIRPHSCPRCNAKFSQKGNLNAHILRVHNIPEGQQIYSCTFCTCVFTKMGSLNGHVKRVHSKEMEEPPPKCDSSTEAEIRATVNNVILQLASLPNGTNDVVDSTNSGTINAPKDNDILQQALKNSGLSSKEKSPEDSSNPKKPDAQTTYVTLLDKNPDGSLRKLQTIKQRSIGRVRWYACTFCHKEFKKPSDLIRHMRIHTHEKPFKCSYCARTFALKSTMLAHERTHTGTKKYACELCSRSFACSSSLTAHMRLHTKPHKCTICEKSFSSNGVLKSHMKTHDKEKDKILSETKEVVPQIVLQEPLVISDAGDKISVAHVKPKQQGYEETGVARPHKCWSCSAAFRKISHLKQHYRRHTGERPYKCPKCDRRFTSNSVLKSHLHTHEDAKPYSCDVCDQKFSTQSSMKRHLITHSNKRPFMCPYCHKTFKTSVTCKKHMKSHVHELAQEQLEQQKTQKFDTKLPGPSMPSIHDTALTLSDDIDFQPQMAPDFTQAFSDQFQSIEAEKEKTFLTTNVSAESIVNQDIPDIGTNNLEPQTLHADETGTITLSNYTSDQSFTQESMRELEETLNRQLFNIGVNLGLGNNLSKQLDDHSDNTLENRDQPVLNIIYENGKNLETPTNAIFTSQFDSFDMSQITLPSDNDINISSANSTSMASILPRSVKEELITATARGSIQDDQTKSDKDAILLNPKQDCTATSRPVQFCQKYPKVIAKADTTDISDTQETVHRNIQQNTITMSCGNEKATLTFNEDFESSMQLKTHTEASPLQTGIERCDVNNPLKIVECDSLLQCHMCGKQGFTTSGLKEHLKIHRGAKEYQCTECSQRFCSNGGLSRHMKIHTNKQQWKCPICNKMFTSKAQLKLHNKEHDSKWKITVEPDSSQRDLNSLDPDLASITDLDLNIDPSISEKVLLATVAEKELAKQTENTDLKTKKEYENKCEYCPKTFRKPSDLKRHIRTHTGERPYSCEFCEKSFAVKCTLDSHVKVHTGAKTFGCHVCNSLFSSKGSLKVHMRLHTGSKPFTCPICGARFRTSGHRKVHLSKHTKSSTKRKSKQPEVVEVSDVAVELEKSVDTATVQSTIPEGEIIQSVEYPNLDTITIDASSLTNQITFGADGTILNNNSVLSLNESNQIVANLHFLFTNELVGNQLVTIQPEDNLLPQVRGTEESIIHDETRVNELIAPSTLPMTCNELVITNLSDNSNVVDQGEMQLDSCMAVMQMNSTESSLPVKAEQQSTKKQTAKSSQAKKECDICGKTFPKPYQVERHKRIHTGERPYKCDRCPKSFAQRSTLQLHEKYHTGDRPYPCSHCKCTFTQKGNLQTHLKRVHQIDGEKKIKRSQQVLTAKLETVDEAKLLNLDEISFVL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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