Dlim025198.1
Basic Information
- Insect
- Drosophila limbata
- Gene Symbol
- CAMTA1
- Assembly
- GCA_963924055.1
- Location
- OZ001355.1:24384821-24412811[-]
Transcription Factor Domain
- TF Family
- CG-1
- Domain
- CG-1 domain
- PFAM
- PF03859
- TF Group
- Unclassified Structure
- Description
- CG-1 domains are highly conserved domains of about 130 amino-acid residues containing a predicted bipartite NLS and named after a partial cDNA clone isolated from parsley encoding a sequence-specific DNA-binding protein [2]. CG-1 domains are associated with CAMTA proteins (for CAlModulin -binding Transcription Activator) that are transcription factors containing a calmodulin -binding domain and ankyrins (ANK) motifs [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 3 1 2.8e+04 -6.9 9.6 24 94 155 226 144 240 0.65 2 3 1.1e-48 3.1e-44 150.0 2.2 2 116 284 396 283 396 0.98 3 3 0.2 5.5e+03 -2.3 2.8 46 88 588 635 537 666 0.61
Sequence Information
- Coding Sequence
- ATGGCCGGTTATCGAGCCCTGCCCTTGGCGCCCGTCTCGGCCAGCAGCATGGCCACAACGGCGGCCGTGCAGCCGAGCAGCGGCGCTCATGCCGGGCCCGGGCCAACAGCAATGGCGTATGCCCATCATCACCATCAGTCGATGACGGCGATGTCGAACAATGGTATTATCTATCAGTCGGCGGTGCACGCCTCGATACACAGTTTGAATACAGTACAAAGCCAGCATCGTTCATCATCCACAACGCATCATCATATTTTagccacggcaacagcaacagcgacggcaacggcgacggcagcagcagcggcagcaacagcagcagcggccacggcagcagcagcagttgccgTTGCACTTCccacaccagcagcagcagcagcaatacaGCCGACTGACGTACGGACAGCAGCAACTTatggccagcagcagcagcatatgcaacagcaacagttgcagctgcaatcCACAcatcaacagcatcaacagcagcagcaacaacaacaattgctgttgcatcagcaacatcaacagcagcaacagcaattgcTGCCACAtgtacagcagcaacatcacctgcaacatcagcaacagcaacaacagcagcagcagctccaacagcagcagcaacaacaattgcaccaccaccaccatcatcaccaccaccaccaacagTTGTCGCTGCACCAGAACCACCTGTACTTCAATGGCCTgggccatcatcatcatcaccatcgaCAGATCTTTAGTCACCTGCAGAGCGCCCTCTTGCCGCTCAGTGTCAACGGCGAACCTATCAAACTGCCCGACAATTTGGAGAGCCTGCCAAGAGCCGACAGTTTTCCATCGCAGCGGCATCGTTGGAATACAAATGAGGAAATCGCGGCGATTCTTATCAGCTTTGATAAGCACTGCGAATGGCAATCAAAGGAAGTCAAAACAAGACCCAAGAGCGGTTCCTTGCTGCTCTATTCGCGAAAGAAGGTGCGATACAGACGCGATGGCTACTGCTGGAAGAAGCGCAAGGATGGCAAGACAACTCGCGAGGATCACATGAAATTAAAAGTACAAGGCACTGAGTGCATCTATGGTTGTTATGTACACTCGGCCATATTGCCCACATTTCATCGCAGATGTTACTGGCTTTTACAGAATCCGGATATTGTTTTGGTGCATTATCTGAATGTGCCATATCCGGACGATAATAAAATGGCCGTCATTGCGCCGAGCATAACACTTTGGGGCGACAAGAAGGAGTGGACCAAGGAGGAGCTGGTCAGCCAACTGAAGCCCATGTTATCCACAGTGAATTCGGATGAAGACTCGGACTCGGGCAATGATATTGAAATTTCGACTGCTGAGACAGTGGAGTCGATTGTCTGTCAGCTGATGGAGAAGCAGCGTCTGTCGCGTCAGGCGGCGTTGGTGAAGCAACTCGACTGCGGTTGTGGGGATGCAACATGTGCCGATGGCAAGACTTGCACACACCCTGTAATGCGACGCACGGGCATATTGAAGTCGGTGTCGGAGAAGCGGGGAAGTGCGGGGGATGCCTACAACGGACAGAACGGCACGCCCAATGTTGTCGTGGCCAGCAAGctCTATTCTCGTTGGTCGGAGCGTCACAGGCAGCGGGAGGCGGCATTGCATTTGGATAATCCGCACTCGCAGTTCCACAATGCCACGCAACAGTTGCCACAAGAGTCGGCGATCAAATTCCAAATCAttccgcagcagcagcagcagcaacagcagcagcagcagcagcagcaacaacaggcaGATGGCAGCAACTATCAGCAGCAATATCGTGGTGCCAATCAAATGTTGGCCACAAGAAGCAATCTGAtaatacaacaacagcagcagcagcagcaacagcaacatcaacaatatcagcaacagcagcaacaacaacagcagcaacacttgAACTTGCAACGCTTTGTGGCCAGTCACAATCAGAGCAATCAAAcACATTTAAATCATCGCCTGCAAATTGccaatacaacaataacagcaacaacaagagaggcagcagcagcggcaacaacaacaacagttgcctCAAATGTCATGGATACAGaactaattgaaaatcaaGCCACAAAAATTAGCCACAATAGCAATAACAGCAGTAAGCAAttaacagctgcaacaacaacagcagcagcagcaacaacaacaacaagagagaCTGCAACAGCAACGCAAACAAACAACGAATTAAATATCGTAAATAATAATGGAAGCAGCAATAACTTTATATacaatcaacagcaacaacagcaagcaaacagcagccagcagcaacattattataaattgcaacagacaacaacaacaacagcagcagcaacaacaacaacagcaaccccCAACAATAGTCAACCCCCAGTTGAAGCCATGTGCATGTCACCGGAGCATCAACTGAGCAACGggggcagcaacaacaacagcaataacaatctattaagagcagcaacaacaacgtctTCCGCTGGCAACACTCCTTCCACGTCGGCAACAACATCCACCTCGAGTTCCTTACAGTCGATTATCGATGgcaatcagcagcaacaaatttcaacgacaccagcaacaacaacaacagcagcagcaacagcagcaaattgtgataatttaatgagCGCCAATGTGCTCGCTGAGCTGGAGTTGGGCGagcagaagcaacagcagcagcagacagcCAGGAGTTACAGCAGTAataacggcaacaacagcagcaacaacaacaacagcgttAACAATCAGGCCACGGCCAACATACATAACGGTTGTGCAAACTACAGTGCTTCCAGTGATAACAGCAGCCAAATTAGCGCCAGCGATGACAGCAACTTTGGCgccaccagcaacaacaatcagagcaacaacagcaacaacaacgatgagGAACCACAAACGGAAACGTTGAGTTTCTTTAATGAAACGTTGGATTTGTCACATGAAGATATACAACGTACACTAATTGCCAACATGCcgtacagcaacaacagcaacaatacaacgacagcagcagcagaggcaacaaccacagcagcaacagcaacaacagcaactgagcaacaacaacagcaacaacagcaggcaaTCAATGTAGAGTCTCCACAGGCTGAAGATGAAGACACCGCCGATGTCTTTGCCAATTTGGATGCCTTTGATATGTTGGTCGAGTTCCCAGAGCTCGACTTGGACGATAAACAGGCATTGAACAACACAGCCTTGGtgcaggagcaacaacaacagcaacaacaacatcatcatcatggtCAACAACATTTGCCGTCCTCATATTTAGACTCAACTCAATCGCATTCACAATCACAACGAAAGTTGCTCAACATTTGTGACTTTAGTCCCGAATGGTCGTACACTGAGGGCGGTGTTAAGGTCCTTGTGGCCGGTCCTTGGACAAGTGATGGCGGTTGTTATACGGTCCTATTTGATGCTCAGCCCGTGCCCACAATTCTGGTCCAAGAGGGCGTTCTCCGCTGTTACTGCCCCGCCCATGAGGCGGGCTTGGTCACATTGCAAGTGGCGTGCGGCGGCTTTCTCGTCTCCAACTCAGCCATGTTCGAGTATAAGCTCTCCCTGCTCGCCGATGCGCCCTTCGATGCCAGCAGCTCCAACGATTGCCTCTACAAATTCACGCTTCTCAATCGCCTCTCCACCATCGATGAGAAACTGCAGCTGAAAGTGGAGAACGAACTGGCGcatacctgttaa
- Protein Sequence
- MAGYRALPLAPVSASSMATTAAVQPSSGAHAGPGPTAMAYAHHHHQSMTAMSNNGIIYQSAVHASIHSLNTVQSQHRSSSTTHHHILATATATATATATAAAAAATAAAATAAAAVAVALPTPAAAAAIQPTDVRTAATYGQQQQHMQQQQLQLQSTHQQHQQQQQQQQLLLHQQHQQQQQQLLPHVQQQHHLQHQQQQQQQQQLQQQQQQQLHHHHHHHHHHQQLSLHQNHLYFNGLGHHHHHHRQIFSHLQSALLPLSVNGEPIKLPDNLESLPRADSFPSQRHRWNTNEEIAAILISFDKHCEWQSKEVKTRPKSGSLLLYSRKKVRYRRDGYCWKKRKDGKTTREDHMKLKVQGTECIYGCYVHSAILPTFHRRCYWLLQNPDIVLVHYLNVPYPDDNKMAVIAPSITLWGDKKEWTKEELVSQLKPMLSTVNSDEDSDSGNDIEISTAETVESIVCQLMEKQRLSRQAALVKQLDCGCGDATCADGKTCTHPVMRRTGILKSVSEKRGSAGDAYNGQNGTPNVVVASKLYSRWSERHRQREAALHLDNPHSQFHNATQQLPQESAIKFQIIPQQQQQQQQQQQQQQQQADGSNYQQQYRGANQMLATRSNLIIQQQQQQQQQQHQQYQQQQQQQQQQHLNLQRFVASHNQSNQTHLNHRLQIANTTITATTREAAAAATTTTVASNVMDTELIENQATKISHNSNNSSKQLTAATTTAAAATTTTRETATATQTNNELNIVNNNGSSNNFIYNQQQQQQANSSQQQHYYKLQQTTTTTAAATTTTATPNNSQPPVEAMCMSPEHQLSNGGSNNNSNNNLLRAATTTSSAGNTPSTSATTSTSSSLQSIIDGNQQQQISTTPATTTTAAATAANCDNLMSANVLAELELGEQKQQQQQTARSYSSNNGNNSSNNNNSVNNQATANIHNGCANYSASSDNSSQISASDDSNFGATSNNNQSNNSNNNDEEPQTETLSFFNETLDLSHEDIQRTLIANMPYSNNSNNTTTAAAEATTTAATATTATEQQQQQQQQAINVESPQAEDEDTADVFANLDAFDMLVEFPELDLDDKQALNNTALVQEQQQQQQQHHHHGQQHLPSSYLDSTQSHSQSQRKLLNICDFSPEWSYTEGGVKVLVAGPWTSDGGCYTVLFDAQPVPTILVQEGVLRCYCPAHEAGLVTLQVACGGFLVSNSAMFEYKLSLLADAPFDASSSNDCLYKFTLLNRLSTIDEKLQLKVENELAHTC
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -