Basic Information

Insect: Polypedilum pembai
Gene Symbol: -
Assembly: GCA_014622435.1
Location: JACWBX010002148.1:5929-9565[-]

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 18 2.8e-05 0.0013 19.0 2.7 2 23 5 27 4 27 0.97

2 18 0.37 17 6.1 0.3 7 23 38 54 32 54 0.90

3 18 3.1e-05 0.0014 18.9 1.4 2 23 61 82 60 82 0.98

4 18 5.2e-05 0.0024 18.2 1.1 1 23 86 109 86 109 0.93

5 18 1.1 52 4.5 2.2 1 23 115 138 115 138 0.95

6 18 0.1 4.7 7.8 0.2 1 23 148 170 148 170 0.94

7 18 0.00035 0.016 15.6 4.6 1 23 176 198 176 198 0.98

8 18 2.2e-05 0.001 19.4 2.0 1 22 203 224 203 224 0.95

9 18 0.07 3.2 8.3 1.2 1 23 898 920 898 920 0.98

10 18 0.057 2.6 8.6 6.4 1 23 926 949 926 949 0.96

11 18 0.25 12 6.6 0.1 3 23 966 985 965 985 0.93

12 18 0.00064 0.03 14.8 0.1 2 21 991 1010 990 1011 0.93

13 18 0.00073 0.034 14.6 1.2 1 23 1018 1040 1018 1040 0.97

14 18 0.53 25 5.6 0.8 2 23 1048 1069 1047 1069 0.95

15 18 0.082 3.8 8.1 2.2 5 23 1081 1100 1078 1100 0.87

16 18 0.00033 0.015 15.6 0.9 1 23 1109 1131 1109 1131 0.92

17 18 0.00045 0.021 15.2 1.9 1 23 1137 1159 1137 1159 0.98

18 18 0.0017 0.077 13.4 3.7 1 23 1166 1189 1166 1189 0.95

#	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	18	2.8e-05	0.0013	19.0	2.7	2	23	5	27	4	27	0.97
2	18	0.37	17	6.1	0.3	7	23	38	54	32	54	0.90
3	18	3.1e-05	0.0014	18.9	1.4	2	23	61	82	60	82	0.98
4	18	5.2e-05	0.0024	18.2	1.1	1	23	86	109	86	109	0.93
5	18	1.1	52	4.5	2.2	1	23	115	138	115	138	0.95
6	18	0.1	4.7	7.8	0.2	1	23	148	170	148	170	0.94
7	18	0.00035	0.016	15.6	4.6	1	23	176	198	176	198	0.98
8	18	2.2e-05	0.001	19.4	2.0	1	22	203	224	203	224	0.95
9	18	0.07	3.2	8.3	1.2	1	23	898	920	898	920	0.98
10	18	0.057	2.6	8.6	6.4	1	23	926	949	926	949	0.96
11	18	0.25	12	6.6	0.1	3	23	966	985	965	985	0.93
12	18	0.00064	0.03	14.8	0.1	2	21	991	1010	990	1011	0.93
13	18	0.00073	0.034	14.6	1.2	1	23	1018	1040	1018	1040	0.97
14	18	0.53	25	5.6	0.8	2	23	1048	1069	1047	1069	0.95
15	18	0.082	3.8	8.1	2.2	5	23	1081	1100	1078	1100	0.87
16	18	0.00033	0.015	15.6	0.9	1	23	1109	1131	1109	1131	0.92
17	18	0.00045	0.021	15.2	1.9	1	23	1137	1159	1137	1159	0.98
18	18	0.0017	0.077	13.4	3.7	1	23	1166	1189	1166	1189	0.95

Sequence Information

Coding Sequence: ATGTCAAAACTTCAATGCAAGCTCTGCAATAAAAAACTTTCATCATCAGTTCATCTCGAGAAACATATGAAAACAATTCATCAACCAAAACTCTTCATTTGTGATTTTGATGGCAAACAATTCAACACCAAAGATAAACTTCGACTTCATATTTTCAATCATCGAAAATATTACAAAATAAAATGTGAAGTTTGTGACCGCGAATACAGAACAAATCAATCGATGAGAAAACATTTAAGAACTCATTTCCAACAACATCAATGCGATCATTGTGGTCAAATATTTAGTTATAAAAGATTACTTGAAAACCACATCGCTGCAGTTCATGAAGATTTGCAAGAATTTCAATGCAAATTTTGTACAAGACTTTTTCCCAACACAACAACACGTGACAATCATCAAAAATTAATTCATAAAAATCAAGAACAAAATTCAAAAGTTTTTAAATGTACAGAATGTGCAGCAGGTTTTGAAATGAAAGAAGAACTTCGACTTCATAGTTTTATACATTTTAATGGAGAAATTCACACTTGCCTTGATTGCAATCAAATTTTTAAGAAGAAAAAACTTTTAACACTTCACATGAAAAAACATGAAGTTCCGAGTTTTAGTTGTGAAGTTTGTAAGCAAATGTTTAAATATAAATCAAATTTAAATAAACATTTGAAAAGGGGAAGATGCAAGGGAAATAATGAAAAAGATGGTGAAGAAAAATTAAGTGAAGAAGTTGCAAAAATTGCTAAACAACAAATGATGAAAATTACTAAAAATTATTCGAGATCAATTGTTAAACCTGATGATAATGAAGAAAGTAAGGAAAAATTTCTTGAACCTGAGGATGATGAGTGCGGAGAAAAGAATAAAACAAAAATTCATAAAAATGAAGAAGAAAAATTTGATAAAGTTAAGAAAAATTACGAAATTGAAGAAAAGAAATTTCGTAAAGAAAGAAGAGAAATTAAAAATTCAGATAAAACTAAAAGAAATTTAAAGAATACAGAAAAAATTGTCAAACCAAAATTTTCATTACTAAAAGTTGAAAAAATGTCTAAAATGTCAGAAATTAAATGTTCAGACAAAAAATTTGAAAAACTTTCATCAAAAAATTCTATAATTTTGAATAAAATTGATAAAAGTTCAGAAATTGCCGATTTTCAGAAAAGTTCTGATGGAATTACATCACAAAAAAATGAAATTCTCAAAACAAATTCTAAACCAAAAATCAGTCTTAAAGAAGAAAGTTTTTCGAGAAATATTAAAAATTCCTTGCAAGAAGAGAAAGAAGTTGAAAATTCAAAAAATTTATCAGAAGTTTCTAAAATTACTTCAAAAAATTATTCTGGAATCCTCGAAAATTTAGCTAAAAATTCGGGAATTATTGAAAGTTGCAAACAAGAAATAAAAGTTAGGAGTAGAAAAGATTTAGTAGCAAAGTTTTCTACAAATGAAGAAAATTTAAATCAAGAAACAACATTTATTAGTAGAGAAAATGTTTTTGTTTCACAACAATCTAAAAGTGAAGGAAATTCGGAAGAATTTGTTAACAAAAGCTTAGAAGCAGACACAGTTAGAGAAAATGAAGAAGATCCAATGAAAAGTTCAATTACAATTGTAAAAACAATTAAAACTTTAATAACAAAAAACATTGAAGAAAATAGAAAAGAATTTTTTGAGGAAAATTCAGTAAAATTTGGAGAAAATTCAACAAATTTTAGAGAAAGTTTAAAAAACTTTCATAAAAGTTCTTCACAAAACGAAGAAAAAATTGATGAAATTGAAAAGATTGAAAAGCAATCTGAACAATCGAGAATTGTGTCAACTTCAAAAACTTTTTCTCATTCTTCAGAAATAAGTAAAAATAATCCAAAAGTCATAATTATTTCTCAAAAAACATTTAAAGAGCTTAAATTTGGTACAAATTCAAAATTTTCTTCTGAAAGTTTGCAAAATATTTCAAAATATGAAAAGTGTTCAAAAACTGAGAATTTTGTTAAAAATTTAGAATCTAAAGCACAAAAAGATTTGCAAAATGAAGAAGATTTGAATTTTAATGTAAATATTGATAACAGTAAAGAAAGTTCAAATTTTGGCAGAAATTTATCAGAAAGTTTAAAATTCAACATAAATAATGAAAAATCAAATGTAAAAATTGAAAAAATTTCAAATTTAACTGAAAATTTGTCAGAAAGATCAAAGTTTCATTTCGAAAGCAAAAATGTGAATGAAATTTTAAAATTTGACAAAAATTCTTCAAAAAATTCAAAATTTAACGAAAAATCAAAAGAATTTGTCATAAATTCATCAGAAAGTTCAATTTTAAATGTAAAAACAAAACAAATTTCAAATTTTGACAGAAAATTATCAGAAAATTCAGAATTCAATGAAAAATCACAAGAAATTTTAAATTTAAGAGCTTTTCATGCTGAATCAAATGAGAATTCGAATTTCAATGTAAAAAATCAAGAATTGAATGAAAATTTAAATTTAAGCAATGAAATTGAACAATTTAAAGAAATTTCAAATCTTAATCAAGAAATTTATCCAAATTCATCACAATTTGAGTCAACAATAATTTCAAATGATGAAATTTCATTTATTGATGAATCATCACAAAATCAATCAAATCATCAGCCACGAACATATACAAAAAGAAAATCAACAAGAATTTTCAAACCGTCGGTAACATCACCTTATCAATGTGACATTTGTGGCTTTGAAATTCATATAAAATCAAAATTTCTCTCACACATTCGTCTTCATGCTTCTTCAATCAAACACAAATGCAAAGAATGTTTTGAAACTTTTAAAAGCATGAAAAGTTTGCATCAACATTCAATGAAAATTCACAATCGTGGTGTTTTTGGTTCAATTGATTACAGCAAATTTTCATCAGATTGTGAAATTTGTGGTAAAACTTTAAGTGCTGAACGCATGAAAAGTCACATGGCGCTGCATCAATCACCAAAAGTTGTTTGTGATCATTGTGGTAAAATTTATCGAACAAAAATGGCACTGGACCGCCATTTGTCAGTAATTATGGCTGAGAAAAAATTCACATGCAGTATTTGTGGTAAAAATTTCAAAAAAATGTCAATTTTAAAGCAACATGAAGAAACTCACAATCCAATAAAAATTTATATCAAATGTGAAATTTGTGCAAAAATTCTTCAAATGAAACATTTAAAAATGCACATGGAAGTTCAACATGGAAATCGTTATAGTGAGAAAAATTTTCAATGTCATTGTGGAAAAGAATTTCGTTATCAAAAGCAACTGGATAAGCATAATGAGCAAGTTCATGAAGCTAAAAATCGAGGAATTTTTTATTCTTGTGCCGAATGTGAGCGAGTTTTTACGAGACGACAAGAGTTGAGAAATCATTCATTTTTGCACTATTCTGGACCAATTTTTGAATGTTCAACTTGTGGGTTGAAATTTAAAAAGAAAAAATTACTTTATATTCATTCAAGAGTTCATAATGCTGTTGGAATTACTTTTGATTGTGACGAATGTCAATGTAAATTTAAAACTAAAGGTGGTTTGAGAAAACATAAAATTAAAATGCATGAAAAAAATTAA
Protein Sequence: MSKLQCKLCNKKLSSSVHLEKHMKTIHQPKLFICDFDGKQFNTKDKLRLHIFNHRKYYKIKCEVCDREYRTNQSMRKHLRTHFQQHQCDHCGQIFSYKRLLENHIAAVHEDLQEFQCKFCTRLFPNTTTRDNHQKLIHKNQEQNSKVFKCTECAAGFEMKEELRLHSFIHFNGEIHTCLDCNQIFKKKKLLTLHMKKHEVPSFSCEVCKQMFKYKSNLNKHLKRGRCKGNNEKDGEEKLSEEVAKIAKQQMMKITKNYSRSIVKPDDNEESKEKFLEPEDDECGEKNKTKIHKNEEEKFDKVKKNYEIEEKKFRKERREIKNSDKTKRNLKNTEKIVKPKFSLLKVEKMSKMSEIKCSDKKFEKLSSKNSIILNKIDKSSEIADFQKSSDGITSQKNEILKTNSKPKISLKEESFSRNIKNSLQEEKEVENSKNLSEVSKITSKNYSGILENLAKNSGIIESCKQEIKVRSRKDLVAKFSTNEENLNQETTFISRENVFVSQQSKSEGNSEEFVNKSLEADTVRENEEDPMKSSITIVKTIKTLITKNIEENRKEFFEENSVKFGENSTNFRESLKNFHKSSSQNEEKIDEIEKIEKQSEQSRIVSTSKTFSHSSEISKNNPKVIIISQKTFKELKFGTNSKFSSESLQNISKYEKCSKTENFVKNLESKAQKDLQNEEDLNFNVNIDNSKESSNFGRNLSESLKFNINNEKSNVKIEKISNLTENLSERSKFHFESKNVNEILKFDKNSSKNSKFNEKSKEFVINSSESSILNVKTKQISNFDRKLSENSEFNEKSQEILNLRAFHAESNENSNFNVKNQELNENLNLSNEIEQFKEISNLNQEIYPNSSQFESTIISNDEISFIDESSQNQSNHQPRTYTKRKSTRIFKPSVTSPYQCDICGFEIHIKSKFLSHIRLHASSIKHKCKECFETFKSMKSLHQHSMKIHNRGVFGSIDYSKFSSDCEICGKTLSAERMKSHMALHQSPKVVCDHCGKIYRTKMALDRHLSVIMAEKKFTCSICGKNFKKMSILKQHEETHNPIKIYIKCEICAKILQMKHLKMHMEVQHGNRYSEKNFQCHCGKEFRYQKQLDKHNEQVHEAKNRGIFYSCAECERVFTRRQELRNHSFLHYSGPIFECSTCGLKFKKKKLLYIHSRVHNAVGITFDCDECQCKFKTKGGLRKHKIKMHEKN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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