Gfla013448.1
Basic Information
- Insect
- Gonatopus flavifemur
- Gene Symbol
- -
- Assembly
- GCA_018340375.1
- Location
- Contig18:5967440-5978402[+]
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 13 2.1 2.9e+02 2.6 4.8 2 23 47 71 46 72 0.88 2 13 0.049 6.8 7.7 6.0 1 23 78 101 78 101 0.93 3 13 4.8e-06 0.00067 20.3 0.6 3 23 109 129 107 129 0.97 4 13 0.00034 0.047 14.5 5.9 2 23 136 157 135 157 0.95 5 13 1.3e-07 1.8e-05 25.3 0.4 1 23 163 185 163 185 0.98 6 13 0.011 1.6 9.7 5.9 1 23 230 252 230 252 0.84 7 13 0.22 31 5.6 1.6 2 22 260 280 259 280 0.91 8 13 1.6e-06 0.00022 21.8 1.9 1 23 814 836 814 836 0.98 9 13 0.00014 0.02 15.7 0.5 1 23 843 866 843 866 0.95 10 13 0.00031 0.043 14.6 0.1 1 23 874 897 874 897 0.97 11 13 5.2e-06 0.00072 20.2 3.5 1 23 903 925 903 925 0.97 12 13 0.002 0.28 12.1 5.4 1 23 931 953 931 953 0.97 13 13 6.2e-07 8.6e-05 23.1 1.0 1 23 959 981 959 981 0.98
Sequence Information
- Coding Sequence
- ATGAGTGCTGGTAAAGATGAAAACAATGTCACCCCAAAACTTGTGGATATGATTTCTGATACCCGAATAAACAATGATCGCATTGACAAGATTTATTCTTGCGATCATTTAAAATTCGATACAATGGAAATACGTTGGAAATGTACTCAATGTACAAAAAACAACATTGAATTTGATTCTCAATCGAAATTAAAACTTCATACGTGTTCGCATCATAACAGCACAAAACCTTTCAGATGTCAACAATGTGATTTAACTTTTGATCGTTGTTCGCAACTCGATTATCATTGTCGAAGCGTGCATCTAGGTGAGAAATCCCAGATTTGCCAAATCTGTGGGAAAGGATTTTTCCGAAAAACAGATTTACGTACCCATTTGAATATTCATCTTGGAACAAATCTATGCGTCTGTGAGATTTGTGGGAGGAAATTCAATCATGTATCCAACTTAATCAGACATTGCAGAATGCATGCAGGTCTGAAGCCATATCCATGCTCTATTTGTGGTAAACGTTTTACACAAATAAGTTCATTAGCACGACATAAACGCATTCATGAAAGGAAAAATAATGCGAATCAAGAACAATTATCCAATTCCATAAGTTCCATGGAAAACATTACATCTTCGAGTACAGATGCGTCCACCGAAGGATCTACACCTGTAAATCGCAAAATGGTGAAACGGCAGCATTATTGTAAAATATGTGGTGAAAGTTTTCATTCTGTGCTTTTATTGAGACATCATGAGAAATTTCATTTAGAGAATACAGAACCTATGGAATGTAAAAATTGTTGGAAAACTTTTCAAAAGATCAATGATATTAAAGAGCATCAGTGTACAGTGACAATTCCAAAAAAATCAGAAAATGACAAAAAAAGTGTAAAACAAGCGCACTCCAAGAAAATGCTCAATGGACTTGCAAAAGACATTGAAAAAAACAATACAGCACGTACCACTCGAAGAAAGACTGCAAATAAAAATCAAATTAAAAATTCTATGATGTGCAGAAGTTCAGAATCTACAGAAAAGAAACCCCCGGATCAGTTGGAAAAGAGTAATTCGGAACAATTAGACGTTTCGAATAACAATGCTCTGCAAGAATATCTGTTTGAAATTGATGGAAAATGTGCAACCGTATTACTCGATAATGGTGCTGAGTTGAATATTTCTACAACTTCCAATTCTTTGGACTGTGATCATACAGAGCTATACGAATGTGTAGAATTGAACAAGTATGTAGAAGAAAAATATTTTATCGATATATGCAAACAATTAAATGTGAACATCATGCAAGAGAAAAAGAAGAACAAAAGTTTAAGTGCAAACGAGAATTCGATGAAAACGGAATCGGGAAACAAAACGTCCGAATGGAAGGACAACGATCTTGAAGCGATGAATTCGACAAACTTGAATGGCACACTTGAAAAAACGCAATTTCCAATACACGTAGATTTTGCAACTGAAATCCAAGAGGGTCAAGAAAAAAATTCTAAATGTTGCATCGATGTAACAGCAGATAATTCCACCGACACAAATGCATCCTCGAATACGTTTTTGAGTAACGGCGAGCCGACTCTGCGTTTAGTTCAAACGGAAACTGGAGAACAATTTTACGAATTGCTAATCAACAACTTTATGGAAAAAGGTTCTTCGAAGAATCACGATAAATTCATTTTAGAAGAATCTACAACAGTTTCAGAGAACGACAAAAAATCAAACAATCCGTGTATTCGGGATTACGTAACGGAAGTGCCAAATCAAAGCGACCAAGATTTACATACTTTTAGTATGAATAATGATTTTGATAATGTTAGTTCACAATACGTTCTTTCGGAAGTTGACAGAAATTTCCAAGATTTACATAGCGATGAAAAGGAACAATGCTTTTATATAACTCCTAAAAACAAAGAATATCTGAATCATACATCCGAGAAAGAAATTCAATATATACATTCTTTGAATTTAAATTTATTAGAAAACGATTCCCAAGCGAATTTTGAACAATACGTGGCCACCAATTTCGAAGGATTTGAAAAATCCAATTACGAGAATAGCACCGAACAATTTCTACAATTCATAGAGATTGCGGAAAGTAATCGAGAAAACATGTTAACTTCTACGGAATCGGAGCCACCAAGCATGAGAAGTCAATTCCCTCACGAAGATTCTTTAGAATTCTCTAAAGATTTTCAAACTGAAATTGATAATCTGAATAAGGAAAAATCTCACGACAACATTCCAAATGAAACATCGAGTGCAATAATGAATAACGACAAAGTGCAGATACTAGGGAACAATAGCTCGAATTCTATAAACATGACGAAACAAAAGAACTATAAAGATGGAAATAAAAGGCCCTGTAACGAATCTAAAGGCAATCAAAGTGATAATATTAATAAATCGTCGGAAACAAAGAAATCCAAAGCTCTGGGTAAGAAGTATCAATGCACCGAATGTAAAAAGGTTTTTTCTAATGGTTATAATTATAAACAACACATGGGAACCCATTTTACGGATCAGCAAAAATTCTCTTGTAAGGAGTGTGGAATATTTTTTGCTTGGAAATCAACTTTGAATAAGCATATGGCTAATAATCACAGACCGGATGGGCGGAGAAAGTTTGTTTGCGATATGTGTCCGAAAGTATATGGTACTTTATCTCAAGTTAACGAGCACGTCAAGAGAGATCACTTGAAACAACGAAATCACGTTTGTCCGTATTGCGGAAAATCTTTCTTCAAAAAGTTTGACTTGAAGACGCACAGTAGAGTACATACGGATGAACGTCCTTACATATGTCGAGCTTGTGGAAAGAGATTTCATCATCAGAGTCATATAATTCGTCACGAACGTATCCATTCCGGTGAAAGACCTTATTCTTGTGAAATATGTCAAAAAACCTTCACGCAACCAGGCTCACTGAAAATTCACAAACAAAAACATCAAGAATTGAGAGTAGACATTTTGGATTATCCAATGGACGAAGACGATCCATTGATCACGTTGTAA
- Protein Sequence
- MSAGKDENNVTPKLVDMISDTRINNDRIDKIYSCDHLKFDTMEIRWKCTQCTKNNIEFDSQSKLKLHTCSHHNSTKPFRCQQCDLTFDRCSQLDYHCRSVHLGEKSQICQICGKGFFRKTDLRTHLNIHLGTNLCVCEICGRKFNHVSNLIRHCRMHAGLKPYPCSICGKRFTQISSLARHKRIHERKNNANQEQLSNSISSMENITSSSTDASTEGSTPVNRKMVKRQHYCKICGESFHSVLLLRHHEKFHLENTEPMECKNCWKTFQKINDIKEHQCTVTIPKKSENDKKSVKQAHSKKMLNGLAKDIEKNNTARTTRRKTANKNQIKNSMMCRSSESTEKKPPDQLEKSNSEQLDVSNNNALQEYLFEIDGKCATVLLDNGAELNISTTSNSLDCDHTELYECVELNKYVEEKYFIDICKQLNVNIMQEKKKNKSLSANENSMKTESGNKTSEWKDNDLEAMNSTNLNGTLEKTQFPIHVDFATEIQEGQEKNSKCCIDVTADNSTDTNASSNTFLSNGEPTLRLVQTETGEQFYELLINNFMEKGSSKNHDKFILEESTTVSENDKKSNNPCIRDYVTEVPNQSDQDLHTFSMNNDFDNVSSQYVLSEVDRNFQDLHSDEKEQCFYITPKNKEYLNHTSEKEIQYIHSLNLNLLENDSQANFEQYVATNFEGFEKSNYENSTEQFLQFIEIAESNRENMLTSTESEPPSMRSQFPHEDSLEFSKDFQTEIDNLNKEKSHDNIPNETSSAIMNNDKVQILGNNSSNSINMTKQKNYKDGNKRPCNESKGNQSDNINKSSETKKSKALGKKYQCTECKKVFSNGYNYKQHMGTHFTDQQKFSCKECGIFFAWKSTLNKHMANNHRPDGRRKFVCDMCPKVYGTLSQVNEHVKRDHLKQRNHVCPYCGKSFFKKFDLKTHSRVHTDERPYICRACGKRFHHQSHIIRHERIHSGERPYSCEICQKTFTQPGSLKIHKQKHQELRVDILDYPMDEDDPLITL
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -