Basic Information

Insect: Stenodera caucasica
Gene Symbol: ZNF236
Assembly: GCA_037414795.1
Location: JAZBGZ010001336.1:8640-13719[-]

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 0.00018 0.011 15.9 1.6 1 23 59 81 59 81 0.97

2 23 0.0034 0.2 11.9 0.3 1 23 87 109 87 109 0.98

3 23 0.0013 0.077 13.2 0.5 2 23 115 136 115 136 0.97

4 23 3.9e-05 0.0023 18.0 0.2 1 23 142 164 142 164 0.98

5 23 0.049 2.9 8.2 0.6 2 23 175 196 174 196 0.93

6 23 3.9e-06 0.00023 21.1 2.2 1 23 220 242 220 242 0.97

7 23 0.00011 0.0064 16.6 0.7 1 23 248 270 248 270 0.97

8 23 0.00026 0.016 15.4 0.6 1 23 276 299 276 299 0.96

9 23 0.0035 0.21 11.8 3.6 1 23 309 332 309 332 0.97

10 23 3.8e-07 2.3e-05 24.3 0.9 1 23 405 427 405 427 0.98

11 23 8e-06 0.00047 20.2 1.5 1 23 433 455 433 455 0.98

12 23 0.00017 0.0098 16.0 0.2 1 23 461 483 461 483 0.98

13 23 1.5 88 3.6 0.9 1 23 491 513 491 513 0.97

14 23 5.3 3.2e+02 1.8 0.6 2 11 569 578 568 578 0.84

15 23 0.0004 0.024 14.8 2.0 1 23 577 599 577 600 0.95

16 23 0.00022 0.013 15.6 3.2 1 23 660 682 660 682 0.96

17 23 6e-07 3.5e-05 23.7 1.2 3 23 695 715 694 715 0.98

18 23 7e-06 0.00042 20.3 2.6 1 23 721 743 721 743 0.96

19 23 5.5e-06 0.00033 20.7 0.8 2 23 752 773 751 773 0.96

20 23 0.2 12 6.3 5.2 1 23 779 802 779 803 0.93

21 23 4e-05 0.0024 17.9 1.1 2 23 952 973 951 973 0.97

22 23 8.4e-05 0.005 16.9 0.3 1 23 979 1001 979 1001 0.96

23 23 4.5e-05 0.0027 17.8 1.9 1 23 1007 1030 1007 1030 0.98

#	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	0.00018	0.011	15.9	1.6	1	23	59	81	59	81	0.97
2	23	0.0034	0.2	11.9	0.3	1	23	87	109	87	109	0.98
3	23	0.0013	0.077	13.2	0.5	2	23	115	136	115	136	0.97
4	23	3.9e-05	0.0023	18.0	0.2	1	23	142	164	142	164	0.98
5	23	0.049	2.9	8.2	0.6	2	23	175	196	174	196	0.93
6	23	3.9e-06	0.00023	21.1	2.2	1	23	220	242	220	242	0.97
7	23	0.00011	0.0064	16.6	0.7	1	23	248	270	248	270	0.97
8	23	0.00026	0.016	15.4	0.6	1	23	276	299	276	299	0.96
9	23	0.0035	0.21	11.8	3.6	1	23	309	332	309	332	0.97
10	23	3.8e-07	2.3e-05	24.3	0.9	1	23	405	427	405	427	0.98
11	23	8e-06	0.00047	20.2	1.5	1	23	433	455	433	455	0.98
12	23	0.00017	0.0098	16.0	0.2	1	23	461	483	461	483	0.98
13	23	1.5	88	3.6	0.9	1	23	491	513	491	513	0.97
14	23	5.3	3.2e+02	1.8	0.6	2	11	569	578	568	578	0.84
15	23	0.0004	0.024	14.8	2.0	1	23	577	599	577	600	0.95
16	23	0.00022	0.013	15.6	3.2	1	23	660	682	660	682	0.96
17	23	6e-07	3.5e-05	23.7	1.2	3	23	695	715	694	715	0.98
18	23	7e-06	0.00042	20.3	2.6	1	23	721	743	721	743	0.96
19	23	5.5e-06	0.00033	20.7	0.8	2	23	752	773	751	773	0.96
20	23	0.2	12	6.3	5.2	1	23	779	802	779	803	0.93
21	23	4e-05	0.0024	17.9	1.1	2	23	952	973	951	973	0.97
22	23	8.4e-05	0.005	16.9	0.3	1	23	979	1001	979	1001	0.96
23	23	4.5e-05	0.0027	17.8	1.9	1	23	1007	1030	1007	1030	0.98

Sequence Information

Coding Sequence: ATGGCCCAAGATAGTTCAGTTGTTGAGAAATTACCAACATTAGTAGCTTTACCAATAGAATCTTACGATAATATAATCCAATTATCCGATAATTTACGTGTTGTCTCCGATGTTGTTATCAAACCATTATCAGAAGTAGAGAAAACAAACGAGAATTTAAAACCAATTTCATCATATCGTTGTACGAAATGCGATGAAGAATTCAATAAGTTCAGTTTATATCGAAAACATATTATATGGCATAGTAATACGAAGAAATTCAAATGTGATAAATGTTCAGTTAgttataatattgaagaaaatttgaaaatacataCAGCAATGCATAATGACGGTAAACCGACATGTCCCTCATGTAAAATATCATTTCAACGTCTAGCTAGCTTAAAATCACATTTAATGCTGCATCAAATCGAAGAACTGTATATGTGTGATGAATGCGGATCGGAATTTGAACGTGAAGAAGAACTGAATAAACATTTACAAAGTCATTTGAGTAATACTAAAAATGAAGATGGTTTAATTTGTTCGTATTGTCGTGTAACATTCACAGAACCAAATCTTTATAAGGAACATGTGGCACATCATATTAAAgtgaaaaaaatgatattatcAGGCAGACGTACACGTAAGACCCATCATAATCGCGAATATCATCATAGTTGTAATGTTTGTCAGAAATCTTTTTCTAAAGCATCATTATTGGAACGTCATTCTCGTGTTCATAGCGGCGAGAAGCCTTTTatcTGTCAATTTTGTAATCGTGGCTTCAATCAGAAAGGTGCTCTACAAATTCATTTAACTAAACATACAGGTATAAAACCGTATCGTTGTACATTATGTTCAgctgaattttatcaaaaaggCAATTTACGTGTACATGTTGAAAAAACCCATACAGCACCATTACCGGGTGTAAAAACTTATAAATGTTCACATTGTTCttgtatatttaaaaaaatagcAAGTCTAAATGTACATATAACTAAAGCACATGCGAATAATCAAAATGGTCCAGATGAGATGATcgatttgatcaataaattgaaacaaatcgatcaaagtgatgataatcaacaaacaaatacaTCAGAAGataatagaaatgaaaataatgataatgttaatTATATTCGTGTAGCTGAATCATTCTCAGATGGTACAACGCGTCgttatttaattaaacaaaaaagaatcaaCGATATTCGgatttatatttgtaattattgttcgAAAGAATTCAAAAAACCATCAGATCTAATACGACATACACGTGTCCATACACGAGAACGTCCATTTATGtGTAAAGATTGCAATATTTCATTCTCATTGAAATCAACGTTATTGTCACATTTGAAAACACATACAGGAAAATGCCATTATATGTGTCCGATTTGTATGAAGAAATTCTCAACGGCGCGTGCTGTCAATATTCATTTAAgGAGCCATTCGGATCGATTAACGCAAGCCTTCAAATGTAATCCATGTAATAAATGGTTTAGTTCAGTTCAAAAGATGTTGGCTCATAGAGAGAAGCATCGTAAACAAGATGAGAATTCGATGAATTCATTGGGACaacaaacgaaaattgatGGCAGTTTAGATAAAGAAATACCAATGAttgatttccaacaaattccGGATCCACTATTCACagcaccaacaacaacaacaaataataataataataataataaacagtgCGAATGTCAGATATGCGATAAAGATTATAAATGCGAACATTGTCCGAAaTTATTTTTCACACCAGAGGCTCTTAAAGAACATAAATTATTCCATCATAGTAATCCGAAATTGTACCATTGTAATGATTGCGatccatcatcattaacaattttcaacaacaattcagAACaagattcgaataatttaaacaataatactaataataatgatgaagttGAATTAGAAGtaacaaaaactaataacgataataataataatattagtaaGCGTAAATATATTTGTACGTATTGTAAACGTAATTTCACAAACAAATCGACTTATTCTACACATTTAGATAATCATTTGAAACGTAAAAAATCCGAACCAGTATTACGtatatgtaatttttgtaataaaccattcaaaaaacaatcggATTTAGTACGTCATATACGTACACATACAGGTGAACGTCCATTTTTATGTGATAAATGCGATAAgaaattctcattaaaatcaacattattatcacaTCAACGTACACACAATCCGGTAAATTCGAAAAAGATCACTTGTAATATATGTAATTCGTCATTTACATCAAAATCAAGTCTACGAGTACATATGAGTTTGCATACTGGTATAAAACCGTATGAATGTGTATATTGTTCGATGAAATTTCGTACATTATCGCATAAAAAATATCACGAAGCCTCACAACATCATtgcaatacaaataataatgaacataatttattgaaaatgaaaaataatttattggataatGGTGATTTATCGAATGAGACTCAACAAAATGAAATCACtttagaaatttcaacaaatcaatttgatggcgacaaaaatgataatattctTGTTGTACAAGAATCACTGCAATTACCATCAttgatcaatgataataatttgaatttgaacgaaacaatacaattagaaccggaaattttacaacaatgGCACAATAATCTATTATTACAAGATCCGATattacaatcatcatcattaatacaATTAGATGATGGgacattgttgaatataaaaacaataaataacgatatcgaatttgttaataatcaaaatttagtaGAAGatcaattgatcaatcaagaacaacaacaatttgagACTGTTAATGGTAAACCGAGAAATCTAAAATgtgatatttgtaataaaatgtATGCCTCGAAAGACGTATTGAGACGTCATCGTAAAAATCATGGAATTAACAAGAAATTCCCGTGTAGTAAATGCGATAAAGGCTTCGATACGGAAGAAGCTTTAGAGaaacataataaattacattcaGGCTATCGTCCATTCACCTGTATGTATTGTAATAATAGTTTTTCGAAACAACAAAGTCTTTCAGCACATATGAAAAGGATACATAAAATGTCTAATAGTTTATGGAAAGATGATGTATTTTTCACGTTGTCATCTTGA
Protein Sequence: MAQDSSVVEKLPTLVALPIESYDNIIQLSDNLRVVSDVVIKPLSEVEKTNENLKPISSYRCTKCDEEFNKFSLYRKHIIWHSNTKKFKCDKCSVSYNIEENLKIHTAMHNDGKPTCPSCKISFQRLASLKSHLMLHQIEELYMCDECGSEFEREEELNKHLQSHLSNTKNEDGLICSYCRVTFTEPNLYKEHVAHHIKVKKMILSGRRTRKTHHNREYHHSCNVCQKSFSKASLLERHSRVHSGEKPFICQFCNRGFNQKGALQIHLTKHTGIKPYRCTLCSAEFYQKGNLRVHVEKTHTAPLPGVKTYKCSHCSCIFKKIASLNVHITKAHANNQNGPDEMIDLINKLKQIDQSDDNQQTNTSEDNRNENNDNVNYIRVAESFSDGTTRRYLIKQKRINDIRIYICNYCSKEFKKPSDLIRHTRVHTRERPFMCKDCNISFSLKSTLLSHLKTHTGKCHYMCPICMKKFSTARAVNIHLRSHSDRLTQAFKCNPCNKWFSSVQKMLAHREKHRKQDENSMNSLGQQTKIDGSLDKEIPMIDFQQIPDPLFTAPTTTTNNNNNNNKQCECQICDKDYKCEHCPKLFFTPEALKEHKLFHHSNPKLYHCNDCDPSSLTIFNNNSEQDSNNLNNNTNNNDEVELEVTKTNNDNNNNISKRKYICTYCKRNFTNKSTYSTHLDNHLKRKKSEPVLRICNFCNKPFKKQSDLVRHIRTHTGERPFLCDKCDKKFSLKSTLLSHQRTHNPVNSKKITCNICNSSFTSKSSLRVHMSLHTGIKPYECVYCSMKFRTLSHKKYHEASQHHCNTNNNEHNLLKMKNNLLDNGDLSNETQQNEITLEISTNQFDGDKNDNILVVQESLQLPSLINDNNLNLNETIQLEPEILQQWHNNLLLQDPILQSSSLIQLDDGTLLNIKTINNDIEFVNNQNLVEDQLINQEQQQFETVNGKPRNLKCDICNKMYASKDVLRRHRKNHGINKKFPCSKCDKGFDTEEALEKHNKLHSGYRPFTCMYCNNSFSKQQSLSAHMKRIHKMSNSLWKDDVFFTLSS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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