Amar020428.1
Basic Information
- Insect
- Amiota mariae
- Gene Symbol
- Camta1
- Assembly
- GCA_035041805.1
- Location
- JAWNKV010000425.1:6665851-6677778[+]
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 4 1.6e-14 2.9e-10 40.8 0.1 79 116 82 118 76 118 0.95 2 4 2 3.6e+04 -5.3 4.7 74 96 320 342 276 395 0.57 3 4 2 3.6e+04 -6.2 5.9 24 87 498 559 481 572 0.53 4 4 0.063 1.1e+03 0.3 0.0 9 37 1171 1199 1168 1228 0.80
Sequence Information
- Coding Sequence
- atgaagGAGGATGAACAATTTCTTAAGGCCAAGTGTGCTTATGCCAATTTAGTGGGCTTGCAATACGAAGCATTGCACTTCCGTTTTGGAACAACTTTGATAAAGGACACTGATGTGCCCTTAAAAGAAGATGAACAATTTCTTAAGGCCAAGTGTGCTTATGCCAATTTAGTGGGTTTGCAATACGAAGCATTGCGCTTCCGTTTTGGAACAACTTTGATAAAGGACACTGATATGCCCTTAAAATGCATCTATGGTTGTTATGTACATTCGGCAATTTTGCCAACATTTCATCGAAGATGTTATTGGTTGTTACAGAATCCAGATATTGTGCTTGTGCATTATTTAAATGTACCATATCcagatgataataaaatggcGGTCATTGCTCCAAGTATTTCACTTTGGGGTGATAAAAAGGAGTGGACAAAGGAGGAACTTGTTAGTCAATTAAAACCTATGCTATCAACAGTGACATCAGATGATGATTCCGATTCAGGCAATGATATTGAAATTTCgACTGCTGAAACAGTAGAATCCATAGTTTGTCAACTTATGGAGAAGCAACGATTGTCCCGTCAGGCAGCTTTGGTTAAACAATTAGATTGTGGATGTGGAGATGCAAATTGTGCTGATGGTAAAACGTGTACGCATCCGGTTATGCGTCGTACGGGTCTATTGAAAAGTGTTTCGGAGAAACGTCCAAATCACAGTGACAATTATAATCACACAACGAGTGGTACACCAAATGTGGTTGTGACATCTAAGCTTTATTCGCGTTGGTCTGAAAGGCATCGCCATCAGCGTGATGCAACGAATATGGACAATCATCATGCTCAGTATCATAATTTAACTCAACAATTGCCACAAGAATCGGCTATCAAGTTTCAAATAataccacaacaacaacagcagcagcagcaacaacaacaacaacaacagcagcagcagcagcagcagcagcagcagcaacataatGAAACTGCtgcttatcatcatcatcaacagcagcaacaacagcaacagcaacaatatcgTGGTCAAAATAATGTCGTTGCAAATCAATTGATGACGACacgaaataatttaatgatgcaacaacaacagcaacaacaacagcaacaccaacaacatcagcaacaagcAAATtacaatcaacaacagcaacaaaatgctgctaatcaaatgaatttacaACGTTATATTGCTAATCATAACAGCAATAAccccaacaccaacaccagtAATAGTAATGGCTCACAAATGAGTCATCGATTGCAAATTGCAAATACAAccataacagcaacaacatcctCATCATCAGTAACAACTAGTGATTCGAGTGTCGCAAATGCCATGAATACTGAACTAATTGGAAATCCAAACCAAAAttctacaaatacaaattctaataaaatcaaccgcaacaacacaaataattgtaataacaacaacaacaataaccaaaTGTCGGTTGCATCACAGttgcatcagcagcaacaacaacaacaacagcagcaacaccaacaaaatgatttaaatatcataaataataatggtcataataataacaatttcaactacaatcaacaacaacagcagcagcatcatgaacagcaacagcaacaacaaataaatatttccaatcccacaacacaacagcagcaatattataaattgcaacaatcacaacaacaacaacaacaacagcagcttACAACGAATCTAGGAACTGATACCCAAACAAACAACTCATCCTCATCAACAGTTGAACCCATGTGCATGTCACCAGAGCATCAACCCTCATCCTCTGTCAATGCCAATGAGCacagtaataacaataataataataaatatcatcaGACATCCTCACCCCTTCAAGAGcacgcaacaacaacaacaataacaacaaaaacaacgacaaaaaCTGCAGGAACGAATTCTTCTTCGGTATCAATGAATTCAATTCCTTCTTCATCGACATCCTCAAGTTCCTCCTTACAGTCGATTATCGATAGTAAAGTTGtcaatcatcaacaacagtcatcaacattaacatcaacCTCTACACCTTCTGATGTCACTTTAATGAACACCGAAGATATTGGTGGTATGTGTGAGGTGAATTCAACTAATgaacatcatcagcagcagcagcagcaacaacaacaacaacaacaaaatatattaaatgagaACAATCAAAGAGTGAATAgtaatagcaatagcaatgtTTGTGCTTCCAGTGATAATAGCAGTACCTCGATTTCTAGCCAAAGTAGTGAAAACAGTGGCCAACATACGAATGCAACGAATATTGCATTTGATGCCATTGAGatcagtaataataataataaaactaatgaGATATCAAgtaatattaacaacaataacaacaacaacagcaatgatCTTCATGAAAGCCTTAATTTCTTCAATGAAACTCTTGATCTAACACATGAGGATATACAGCGAACCCTAATTGCAAATCTGTCTTTTGGTAGTGCAGAGACTACAAAAGCAGAATTGGATTATTTGACATGCAATGAAGATGTAAAAAGTAGTAATGATGGCAACAATATTGCAGTTAATCATCATAATGGTAACAATGTTGCTACTGAACCTGATGATGAACAGGATACAGATGATGTCTTTGCTAATTTAGATGCATTTGATATGTTAGTCGAATTTCCAGAATTAGATTTAGATGATAAGCAAGCCTTATCGAGTACAGCTTTGGAACAGGCACAAActttgcaacagcaacatcaattATCCTATGCTGGTGCCGATTGTGCTGAACTTGTTGCTGCCTCATCGATATCATCGTGCACTCGTAAAATGCATACAATTTGTGACTTCAGTCCAGAGTGGTCCTATACAGAGGGCGGTGTAAAAGTCCTTGTGGCAGGTCCTTGGACAAGTAATGCTACATATACGGTACTCTTTGATGCACAGCCAGTGCCAACGGTTCTTATTCAGGAAGGTGTATTACGTTGTTATTGTCCGGCACATGATGTTGGCTTTGCCACATTGCAAGTTGCATGCGGtaattacataatttcaaattcGGTTATGTTTGAGTATAAAATGTCATTGCTGGCGGAGGTGCCTTTTGATGCGGCTGCATCTAATGATTGCCTCTATAAATTTACATTACTCAATCGACTTTCAACCATCGATAATAAACTGCAAATCAAAGCCGAGGGTGAAACTTCGACCGAtcatactttactttatttagaAGCGAACTTTGAAGAGAAATTAGTTGGATATTGTCACAAGCTGACGAAACATGTGTGGTGTGTAAATAATGCCAATAATTGGCCAACTGGCTTTCGTGGTATGTCACTCCTACATTTGGCTGCAGCTTTGGGCTATGCCAGGCTGATTTGTGCTTTACTTAATTGGCGTACTGAGAATCCGCATATCATATTGGAAACTGAATTAGATGCGCTCAGTCAAGATGTACATGGCTATACACCATTGGCATGGGCATGCGTACGCGGTCACAATGAAGTGGCCTCAATACTTTATAAATGGAATCATAATGCACTTAAAATCAAGAATAATATGCAACAAAGTCCACTCGATTTGGCGCATCTAAAGGGTTACAAACAGTTGCTGACACAAATTTTTCGTTTAGAAAATGAACGGTGCCGTAAGCAACCGACACGTGGAACTTTTAGCAATCTCTCAATGAACAGAAATCTTGGTACTGCAGATGATGGCAGTGAagatcagcagcagcagcagcagcatggCTTAAACTCTTATGATTTGGAGTTGCAACGTAGTCATGATGGTGTTTTCCTGCGACCCGTTGCTGTGGCTAGCAATCAGAGTCCTCCAAATAGTAGCAGATATTCGAAACGTTCATCGATTGATAGTGGCATTAATATGGATATTCGTTCAAAAACGGGCAAACCATTGAGTCGTTTACATGGTTCCTACGACACAACACATGACAATTATTCACTGGCTGTTGAATCACCTTTGGATACATTGGCTGCAACCAATTCATTGCTTTCCCCTTTACGTAAAATGGATTTCGCTTTatGCGAAGTATCCAATGGCGATTCGAGTCCCATACACGATAAAGATAATGACTGTGATGATAGCTCAACGAtcataaatgatgatgttaccgatacaataacaataaataatgagATCACTGATGCCGTTGTAGGGGATTCCGATGCTAAAGTATTGACACTAGCTGAACATATAATTGCAGCAATGCCGGAACGTATTAAgAACGAAGCTGATGAAATGATGGTGTTGGGTTCACCAATGACGGAGCCTTTAAATTCTGAATCATCTGGATTGACAGATAGTTTTATGGATCCTTTATTGGATACATTGCCAAATacacattttgaaaatgatttcaattttgattttcatgaTCATAATTATCGTTATCATGATGTGAGCACACCCTGCTCAAGTCTTAGTCCTGCTAGTTCAGGTCCTTTACAATCACCAGCAAGTTATTCTATACTTGGTACAGATCCCTCAGTCAGTTCACCAAGTCCACCGCCATCAACAAAACAACTGACAGAGTTTTTGCATGCTTCCAGCAGCAATCAATATCCATTTGAGGCAGACTTCTCAAAGTTGACCCTCACTGATACAGAACAACGTGAACTATATGAAGCGGCAAAGTGCATACAGAAGGCTTATCGTTCATATAAGGGCCGTCAAAAGTTGGAAGAACAAAACAAGGAACGTACAGCTGCAATTGTCATACAAAACTATTATCGTCGATATAAACAATATGCCTACTATAGGCAAATGACAAATGCAGCACTTGTTATCCAGCACGGGTATCGTTCCTATTGTCGTAATAAGCGTTTCaagaaatcacaaaatacATCGAGCACgtatttaaatgatgatggcAGTGAGCACGATAGTGTCAGCAGTAGTTCTCAATGTCTTTCGAGCTTCTATGACACATACAAACaagatcaacaacaacagcaggagCTAAGTTCACAGCCAAGTACGCCGAAGGAGACAAGTCCATCGGGACCATTGAAGCGTACTTACTCACAATCAACGCAAAATCAAGCTGCCAGAAAAATTCAACAGTTTATGAGACAATCACGTATTAAACTGCAGAAAGAACGAGCCGAAAAAGAGAAGCTGGTGCACCAACGCAGGGAGGAGTACCTTCAAAACTTGCTGCATCGAGGACAATTGGAAATGTCAGTTTACCAACAAGACAACAAGTAA
- Protein Sequence
- MKEDEQFLKAKCAYANLVGLQYEALHFRFGTTLIKDTDVPLKEDEQFLKAKCAYANLVGLQYEALRFRFGTTLIKDTDMPLKCIYGCYVHSAILPTFHRRCYWLLQNPDIVLVHYLNVPYPDDNKMAVIAPSISLWGDKKEWTKEELVSQLKPMLSTVTSDDDSDSGNDIEISTAETVESIVCQLMEKQRLSRQAALVKQLDCGCGDANCADGKTCTHPVMRRTGLLKSVSEKRPNHSDNYNHTTSGTPNVVVTSKLYSRWSERHRHQRDATNMDNHHAQYHNLTQQLPQESAIKFQIIPQQQQQQQQQQQQQQQQQQQQQQQQHNETAAYHHHQQQQQQQQQQYRGQNNVVANQLMTTRNNLMMQQQQQQQQQHQQHQQQANYNQQQQQNAANQMNLQRYIANHNSNNPNTNTSNSNGSQMSHRLQIANTTITATTSSSSVTTSDSSVANAMNTELIGNPNQNSTNTNSNKINRNNTNNCNNNNNNNQMSVASQLHQQQQQQQQQQHQQNDLNIINNNGHNNNNFNYNQQQQQQHHEQQQQQQINISNPTTQQQQYYKLQQSQQQQQQQQLTTNLGTDTQTNNSSSSTVEPMCMSPEHQPSSSVNANEHSNNNNNNKYHQTSSPLQEHATTTTITTKTTTKTAGTNSSSVSMNSIPSSSTSSSSSLQSIIDSKVVNHQQQSSTLTSTSTPSDVTLMNTEDIGGMCEVNSTNEHHQQQQQQQQQQQQNILNENNQRVNSNSNSNVCASSDNSSTSISSQSSENSGQHTNATNIAFDAIEISNNNNKTNEISSNINNNNNNNSNDLHESLNFFNETLDLTHEDIQRTLIANLSFGSAETTKAELDYLTCNEDVKSSNDGNNIAVNHHNGNNVATEPDDEQDTDDVFANLDAFDMLVEFPELDLDDKQALSSTALEQAQTLQQQHQLSYAGADCAELVAASSISSCTRKMHTICDFSPEWSYTEGGVKVLVAGPWTSNATYTVLFDAQPVPTVLIQEGVLRCYCPAHDVGFATLQVACGNYIISNSVMFEYKMSLLAEVPFDAAASNDCLYKFTLLNRLSTIDNKLQIKAEGETSTDHTLLYLEANFEEKLVGYCHKLTKHVWCVNNANNWPTGFRGMSLLHLAAALGYARLICALLNWRTENPHIILETELDALSQDVHGYTPLAWACVRGHNEVASILYKWNHNALKIKNNMQQSPLDLAHLKGYKQLLTQIFRLENERCRKQPTRGTFSNLSMNRNLGTADDGSEDQQQQQQHGLNSYDLELQRSHDGVFLRPVAVASNQSPPNSSRYSKRSSIDSGINMDIRSKTGKPLSRLHGSYDTTHDNYSLAVESPLDTLAATNSLLSPLRKMDFALCEVSNGDSSPIHDKDNDCDDSSTIINDDVTDTITINNEITDAVVGDSDAKVLTLAEHIIAAMPERIKNEADEMMVLGSPMTEPLNSESSGLTDSFMDPLLDTLPNTHFENDFNFDFHDHNYRYHDVSTPCSSLSPASSGPLQSPASYSILGTDPSVSSPSPPPSTKQLTEFLHASSSNQYPFEADFSKLTLTDTEQRELYEAAKCIQKAYRSYKGRQKLEEQNKERTAAIVIQNYYRRYKQYAYYRQMTNAALVIQHGYRSYCRNKRFKKSQNTSSTYLNDDGSEHDSVSSSSQCLSSFYDTYKQDQQQQQELSSQPSTPKETSPSGPLKRTYSQSTQNQAARKIQQFMRQSRIKLQKERAEKEKLVHQRREEYLQNLLHRGQLEMSVYQQDNK
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -