Ccar008081.1


Basic Information
Transcription Factor Domain
Sequence Information
Similer Transcription Factors

Basic Information

Insect
Chrysoperla carnea
Gene Symbol
-
Assembly
GCA_905475395.1
Location
FR997757.1:33426871-33429489[-]

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 21 0.0026 0.057 14.3 2.6 1 23 178 200 178 200 0.97
2 21 0.2 4.4 8.3 5.4 1 23 206 229 206 229 0.95
3 21 0.015 0.33 11.9 2.7 3 23 238 259 236 259 0.93
4 21 2.6e-05 0.00057 20.6 0.9 1 23 266 288 266 288 0.98
5 21 2.2e-05 0.00048 20.8 1.2 1 23 294 316 294 316 0.97
6 21 0.00033 0.0072 17.1 1.1 1 23 322 344 322 344 0.98
7 21 0.00034 0.0074 17.1 1.9 1 23 350 372 350 372 0.98
8 21 7e-07 1.5e-05 25.5 1.0 1 23 378 400 378 400 0.98
9 21 0.00012 0.0026 18.5 1.5 1 23 506 528 506 528 0.98
10 21 0.00098 0.021 15.6 1.6 1 23 534 556 534 556 0.98
11 21 0.00019 0.004 17.9 1.1 1 23 562 584 562 584 0.97
12 21 4.4e-06 9.5e-05 23.0 1.4 1 23 590 612 590 612 0.99
13 21 2.5e-06 5.5e-05 23.8 0.9 1 23 620 642 620 642 0.98
14 21 4.5e-05 0.00098 19.8 2.8 1 23 648 670 648 670 0.95
15 21 0.002 0.043 14.7 0.5 1 23 676 698 676 698 0.94
16 21 2.3e-06 5e-05 23.9 0.8 1 23 704 726 704 726 0.98
17 21 4.5e-05 0.00098 19.8 1.3 1 23 732 754 732 754 0.97
18 21 5.1e-06 0.00011 22.8 0.4 1 23 760 782 760 782 0.99
19 21 1.2e-05 0.00026 21.6 0.6 1 23 788 810 788 810 0.98
20 21 0.00012 0.0026 18.5 5.7 1 23 816 839 816 839 0.97
21 21 1.1e-06 2.3e-05 24.9 3.4 1 23 845 867 845 867 0.98

Sequence Information

Coding Sequence
ATGTCAGATAACTCATTTCATGATCCTTTTTACTTAAAAGAACGAATTAGTACTGAAGAAAAATTGAAATCAGAATTAATTCAAAATGTTAACAAAAAAGAAGAGTTTCATTTACCTGAAGAAGTGGAGATTAAAGAAGAAAAATTTGAATTCAAACAAGAATACCCTACGGAATTAGCTGATTTAGTTATAAAAAATGAAATGCTAGACTTAGAAGAGGTTGCTGTGGATAATGAACAAAAATATACAAATGAATTGGAACACTTGGAGCTGGTTTATGGAAAAGATGAAATTCAAGAACAATTACACACTACAGAATTAGCCGATTCCGCCGATTTAAATATAAAAGATGAAATTCTAGAAGACGTTACTGTGCAAGATGAACAAACATATACAAGTGAATTGGCACACTTGGAACTTTTTTATGGAAATGGTGAAATTCAAGAACAATTACATACAGAACTTATAATCAAGGAGGAAATATTAGAAGAAAATGATTCAAATCATCAGATAATCGGTACCGAAGACAAGTTTTCTTGTGATGCTTGTGACAAAATATTTACCACTCATAAAAGTTTAATTTATCACAAAAAAGTACATACTGGAGAAAGACCTTTTGCATGCGATCTTTGTGATAAAAATTACTGCCGACAATGTGATTTAGATTATCATAAAAAAATAAAGCACAATAATGGACAAGAAACAACGATTTGTAGTTTTTGTGATAAAATATTTACTGATCATAAAAGTTTAATTGATCATAAATACAAATTCCATCTTGGAAAAAACAGACGCTTTCCATGTAACCTTTGTGACAAATCATTTGCAAGACGAAACGGTTTAGTTTATCATAAACGAACGCATACGGGAGAAAAACCTTTTGCTTGTGATGTTTGTAATAAAACATTTACTTCAACTAGCACTTTAAATATTCATAAACGACTTCACACTGGCGAAAAACCTTTCTCATGTGATAATTGTGACAAAACATTTACCGCTTATAGTAGTTTAATTTATCATAAACAAGTGCATACGGGAGAAAAACCATTTCCATGCGATGTTTGTGGTAAAACTTTTGCCGGGCATCATGGTTTAGTGTATCATAAACGAACGCATACGGGAGAAAAACCTTTCTCTTGTGATGTTTGTGATAAGGCATTCAGTTCGAACAGTACTTTAACTATTCACAAACGAACACACACTGAAGAAAAACTTTTTCCATCTAATGATAATTCATTTACGTGTAATACTTCAATTGATCATATTAAAGAAGAGCTTCATCCATTTAATTCATCTTCTAATGAATTATTTTCTAAACTAAACGATTTACTTAATGAAAAACGATCGCACACTGACGAAAAACGTTTTCCATATAATGATAATTCATTTACGTGTAATACTTCGATTGATCATATTAAAGAAGGGCTTCTTCCATTTAATTCATCTTCTAATGAATTATTTTCTAAATTAAACGATTTACTTAATAAAAAACGATCACATACTGACGAAAAACCTTTTTCGTGTGATCTTTGTGATAAAAAATTTGCCAGACGAAATGGTTTAGTTTATCATAAGCGAACGCACACAGGAGAAAAACCATATTCTTGTGATTTTTGTAATAAAACATTTAGTTCAACTAGCATTTTAAATATTCACAAACGAATTCACACTGGTGAAAAACCATTTTCATGTGATGATTGTGGAAAAACATTTACCGCTTATAGTAGTTTTATTTATCATAAACAAGTACATACTGGAGAAAGACCTTTTACTTGTGATGTTTGTGGAAAAGCGTTTTTCAATCAAAGCAATTTGGATTATCATAAACGAACTCATTTTAATAATAACGAAAAGATTTTCCGGTGTGAAGTTTGTGAAAAGACATTTACAACAGAAAGTCTTTTAGTTCGTCATAAACGTGTTCATACCGAAGAAAAACCATTTTTATGCGACTTTTGTGGTAAATTTTTTAAATACAAAGATAATTTAGCTTCACATAAACGAAAACATTCTGGATTAAAACCGTTCTTATGTGATTTTTGTGGTAAATCATTCGGTCAAAAAGTCCGTTTAATTCAACATAAATTGATTCATAATGGTGAAAAACCCTATTCATGTGATATTTGTGGAAAATCATTTACGTATCGTAATACTTTAATTGTACACAAACGAATCCATACCGGAGAAAAACCATTTGCCTGTGATGTTTGTGATAAGACATTTTCGGTTCATAATAGTTTAATTGTACATAAACGAACACATTCGGGAGAGAAACCATTTAAATGTGATAGATGTGATAAAACATTCGCTCAGCCGAACGGTTTAGTTCAACATCAAAGAATTCATACAGGAGAAAAACCGTTTTCATGTAATGTTTGTGAAAAGACATTTAGTTTTAGTAGTGCTTTAATTATACATAAACGAATTCATACGGGGGAAAAACTTTTTACATGTGATATTTGTGAAAAAACTTTTACTCATCATAGTAGTTTGTATAATCATAAACGAAGTATTCACGACGAAGCAAAACCATTCTCTTGTGATGTTTGTAATAAAACATTTAGTCATCAAGGTAATTTAAATAAACATAAACGAATTCATACGAAACAGAAAACATAG
Protein Sequence
MSDNSFHDPFYLKERISTEEKLKSELIQNVNKKEEFHLPEEVEIKEEKFEFKQEYPTELADLVIKNEMLDLEEVAVDNEQKYTNELEHLELVYGKDEIQEQLHTTELADSADLNIKDEILEDVTVQDEQTYTSELAHLELFYGNGEIQEQLHTELIIKEEILEENDSNHQIIGTEDKFSCDACDKIFTTHKSLIYHKKVHTGERPFACDLCDKNYCRQCDLDYHKKIKHNNGQETTICSFCDKIFTDHKSLIDHKYKFHLGKNRRFPCNLCDKSFARRNGLVYHKRTHTGEKPFACDVCNKTFTSTSTLNIHKRLHTGEKPFSCDNCDKTFTAYSSLIYHKQVHTGEKPFPCDVCGKTFAGHHGLVYHKRTHTGEKPFSCDVCDKAFSSNSTLTIHKRTHTEEKLFPSNDNSFTCNTSIDHIKEELHPFNSSSNELFSKLNDLLNEKRSHTDEKRFPYNDNSFTCNTSIDHIKEGLLPFNSSSNELFSKLNDLLNKKRSHTDEKPFSCDLCDKKFARRNGLVYHKRTHTGEKPYSCDFCNKTFSSTSILNIHKRIHTGEKPFSCDDCGKTFTAYSSFIYHKQVHTGERPFTCDVCGKAFFNQSNLDYHKRTHFNNNEKIFRCEVCEKTFTTESLLVRHKRVHTEEKPFLCDFCGKFFKYKDNLASHKRKHSGLKPFLCDFCGKSFGQKVRLIQHKLIHNGEKPYSCDICGKSFTYRNTLIVHKRIHTGEKPFACDVCDKTFSVHNSLIVHKRTHSGEKPFKCDRCDKTFAQPNGLVQHQRIHTGEKPFSCNVCEKTFSFSSALIIHKRIHTGEKLFTCDICEKTFTHHSSLYNHKRSIHDEAKPFSCDVCNKTFSHQGNLNKHKRIHTKQKT

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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