Basic Information

Insect
Mimas tiliae
Gene Symbol
-
Assembly
GCA_905332985.1
Location
HG995266.1:4017087-4037366[-]

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 12 7.4 5.1e+02 1.8 0.4 1 9 213 221 213 235 0.73
2 12 0.18 12 7.0 1.2 1 19 293 311 293 314 0.95
3 12 0.036 2.5 9.1 1.2 3 23 333 354 331 354 0.95
4 12 6.4 4.4e+02 2.0 0.0 1 19 391 409 391 412 0.81
5 12 0.0041 0.28 12.1 3.5 1 23 664 686 664 686 0.97
6 12 8.9 6.1e+02 1.6 5.2 3 23 806 826 805 826 0.94
7 12 0.0027 0.19 12.7 4.0 2 23 842 863 841 863 0.97
8 12 2.2e-07 1.5e-05 25.5 1.4 1 23 869 891 869 891 0.98
9 12 0.0027 0.19 12.7 0.3 3 23 898 918 896 918 0.96
10 12 0.018 1.2 10.1 0.6 2 23 925 947 924 947 0.96
11 12 0.0098 0.68 10.9 0.5 1 19 954 972 954 973 0.88
12 12 0.0012 0.082 13.8 0.3 3 23 986 1007 985 1007 0.97

Sequence Information

Coding Sequence
ATGAGTGAAACCGGCAAAAAGAGGACAAGAAAAGATAAACAGGTTGTGCGTGGCTGTGTAGATTTGAACGATGGCAAAAATCAGAATTTGCAGAATGTACCAGAATTACATCCAAAGGTAAAAATAGAGGAAGATGTGGCTCCAGTGCAACAGAGTGAAGAACAGTTACTCATAGATATAGCAAATATTAAAAAGGAAATCCATGAGAGTGGCTATGAAGAAAACCCACACATGAAGTTCTCCGTAAGAGTTGAAGTCGAAGAATACAATGAAGATATAAGGCACAATATAAAAATTGAAATTCACAACCTAGAACATTTGAATCAACCTGAAACATCCAATACTCAAAAAATAAATCACCGAGACACGTCAATTGATACAAGCAGTACACAGAGTACGGAGTCATTAAAAATAGCTATGATTGACTTAAAACAACTGTACTATGAAGTTGATGAGATAGCTAGAACGTCAAACAATCTGGCAGACAAAATCTTAGCTAGGGAGTTGAAAAACAACTGGGGCACGGTATTAAGGCCGGCGGTTAACGACGATCCCGTAAATGCTAAAATCGAAGAGGCCATCCATAAATGGAAGACATGGAGTAGTGGTTCTAAATACCGTGACGTACCTACATTCTATAAATGTTACATATGCCAGAAAGCTTGGTGGCATTTAGGGCCTTTCAGATCTCATTTAGCAATGCACTATGTGGACAACTACCGTATTGAGTTAGAGGAATTATTACATGAAGCGTACATCATTGCTTACGGTACGGTGAATATACCTGAAAAGAAATATTTCAAAGCGGAAGGAGAATGCTGGAGGTGCAACAATCCATTCGAGCACCACGTATCAACTAAAAAACAATACCCAACATATTTTTGTAAGTCATGCGTTGAACGATTTTATACTTGTACGGATTTGAAGGCGCACGAAGGTGTTTGTTGGCAACATTTGAAGTATCTCGAGGTGGAACGTGATCAACGTATGCTGGCATGTAAGCTATGTACATGCATGTTTATAACTACGGAGGAATTGGACAGACATTTGGTCACACGGCATGACGTTAGATCAGACCTGCCAATCCAATCGCAGTATAAGCTTTGTTCTAGTTGTAATCATCGGTATTTCATCCACACTTTACACTGCTGCACTAAAAAGTTGATGAATTACAACTGTATGATGTGTGCACGGGGCTTCTCGAGTAAATTGTTGGTGGATATACACACCATAATGACAGAAAGCGATGTTGATTGTCAACTGTGTCCGAAGAGGTTGAATAAAAAGTGTATGGAAATGTTACATTATCTGAAGCACACGGATATGTTTAAAATGGCGTACAAGTGTGCGGTCTGTACGCACATGGAGGTGTACATTGATGAATATTCAGCTAAATATCATAGATTAACCGAGCATAAACTAAAATATGATAAAAGGAGGAATTACTTCGAAAGGGTATTGCTCCCAAAAAGTTATTTTCCTGATAACGAGGCGGATTTGAAGGCGGAACGGGTGATTCGACCAGTTGTTGAACAAAGAGATGAAAGAGATTTTCCAGTCTTCCAAGCGAGGCAATTGAAAAAGACTTATCAAAGTAAAGCCAAAGTCAGTGCCGATGATGAGAAGGTGGTTTCAAAGGAGATTAAGCAAGAAATCAATGACGTCACTGAGGTACTCCCTGGCGGTGCCACGGTGTCTACTATTGAGGCTTATGTCAAAGACGGGACTGAGACTCTAGTGTTTCATGAGGATTCAAACTGTGCAGATCTGATACCTCCGGAAGCAATAAAAATGGAAATTAAATCTGAACCCATAGACGAAGAATACGAGGACGACATAATACGTCTATCCGTAGACACGCCCACAGACAAACGTATAAAAGAAGAGCCCCAAGACATCACCATAGAGCCAGAAGTTATATACAAAGAGATGTTAAACGAACCAGAGACAGTTCACCGTCTCCGGCCACCTTCAGATACACAAGGGAAGTACAGTTGTTCTCAATGCAACAAAAATTTCACAACGGCAAAAAAATATTTACTTCATTTTACAACGCATGGAATAGCGAAGATGTCATGCCCCATGTGCCTGCAGCCTTTCCAGACCATGACATGTCTTCTACCGCACCTGTCAAATCATGTCAAGCAGTCGTACCTGAAGCTTAGGGTCATAGACACGATGGCTCAGTTGAAGAGACGCAAACATGTTAGAAGCAACGGCAAATATCAGTGTAAATTGTGCCGCAGTAAAGTTGAGCATGAAAATTTGTACAGCCATTGGGATACGCATTTGAAAAGTGGATGGAAAGAGGCCGGCGCTGATTGTGGAAGGGATGTTATGTCGTTGCGATCGGAGGGGCTGAAGATGGTTTTGGATCTTCTAGTTGCCAACAAAAAAGAGATGAAAACGAAGGATTGTGTTATATGTCACAGACATTTTGACAGAATAAATGATTGCAAAAGGCATCTTATTGAACATCTGTTGACTGATGCTTATTGCAATAAACCAGCATATGGATCATTGAAGTGTCAAATCTGCCACACGGGCTTCCAAAAAGCGGATCATTATAAACTGCACATGCGAGACCACGGCTCGCTGCCGGTGTACCGATGCGAGATATGCGACAGAGCCTTCAGCGACTCCAGTAACTTCACCAAACATAAAAAGGTGCATAACCTACAAGTGGTCATATGCGACATATGCTCGAAGAAGTTCCAAGCGAAGACATCGCTTTTGAAGCATTTGGAGATACATCGCACAACAAAACCAATTGTGTGCCAACTGTGCTTTCGCGTGTCATACACGGAGTCGGCGTACAAAAAACACGTCCGAAGATATCACGACCGTGCCGACGTCAAATTCAAATGTCAGTACTGCGGGAGAAGATTTATCAGTTTGAAAGAGAAATGGGATCATCTGTGGCTTGTTCATAAAGAGAGAACTCACAAAGCGGACTGTCCTATATGCAAAATAGGATTCCGAAGGTACATGGATGTTAAATCACATATGATGAAGGAGCACTCGGTTATGCCAGTCCGCAGACCGAGAAAAAATAATGATGTCGAAGAGTTTTTGCGTGACAGTCCCACAGTGGAGCTGGATGAAGGTGAAACGCTTGTAGTGTACGAGTAA
Protein Sequence
MSETGKKRTRKDKQVVRGCVDLNDGKNQNLQNVPELHPKVKIEEDVAPVQQSEEQLLIDIANIKKEIHESGYEENPHMKFSVRVEVEEYNEDIRHNIKIEIHNLEHLNQPETSNTQKINHRDTSIDTSSTQSTESLKIAMIDLKQLYYEVDEIARTSNNLADKILARELKNNWGTVLRPAVNDDPVNAKIEEAIHKWKTWSSGSKYRDVPTFYKCYICQKAWWHLGPFRSHLAMHYVDNYRIELEELLHEAYIIAYGTVNIPEKKYFKAEGECWRCNNPFEHHVSTKKQYPTYFCKSCVERFYTCTDLKAHEGVCWQHLKYLEVERDQRMLACKLCTCMFITTEELDRHLVTRHDVRSDLPIQSQYKLCSSCNHRYFIHTLHCCTKKLMNYNCMMCARGFSSKLLVDIHTIMTESDVDCQLCPKRLNKKCMEMLHYLKHTDMFKMAYKCAVCTHMEVYIDEYSAKYHRLTEHKLKYDKRRNYFERVLLPKSYFPDNEADLKAERVIRPVVEQRDERDFPVFQARQLKKTYQSKAKVSADDEKVVSKEIKQEINDVTEVLPGGATVSTIEAYVKDGTETLVFHEDSNCADLIPPEAIKMEIKSEPIDEEYEDDIIRLSVDTPTDKRIKEEPQDITIEPEVIYKEMLNEPETVHRLRPPSDTQGKYSCSQCNKNFTTAKKYLLHFTTHGIAKMSCPMCLQPFQTMTCLLPHLSNHVKQSYLKLRVIDTMAQLKRRKHVRSNGKYQCKLCRSKVEHENLYSHWDTHLKSGWKEAGADCGRDVMSLRSEGLKMVLDLLVANKKEMKTKDCVICHRHFDRINDCKRHLIEHLLTDAYCNKPAYGSLKCQICHTGFQKADHYKLHMRDHGSLPVYRCEICDRAFSDSSNFTKHKKVHNLQVVICDICSKKFQAKTSLLKHLEIHRTTKPIVCQLCFRVSYTESAYKKHVRRYHDRADVKFKCQYCGRRFISLKEKWDHLWLVHKERTHKADCPICKIGFRRYMDVKSHMMKEHSVMPVRRPRKNNDVEEFLRDSPTVELDEGETLVVYE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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