Basic Information

Gene Symbol
clz9
Assembly
GCA_958295575.1
Location
OY282475.1:1695949-1698534[-]

Transcription Factor Domain

TF Family
HTH
Domain
HTH_psq domain
PFAM
PF05225
TF Group
Helix-turn-helix
Description
This DNA-binding motif is found in four copies in the pipsqueak protein of Drosophila melanogaster [1]. In pipsqueak this domain binds to GAGA sequence [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 1 9.7e-10 5.6e-07 30.3 0.0 1 42 14 55 14 57 0.87

Sequence Information

Coding Sequence
atgcctaataaatacgtaaaaaagaaaatacccaAGTACACACAAGAAGACATAACCAATGCAGTTCGAGAAGTTAAAAACGATGGGTTGTCAATGTACGCTGCAGCGCAAAAATACGGGATACCCTCAACAACTCTTTATGACAAAATCAAAGAAACATATAGCACGAATGTTGTAGGTAGGCGGTTGGCTATTCCATGGGAAGCAGAAATTCGATTGGCCGATGCAATTAAAACTATGGAAAAGTGGGGGTTTGGCCTCTCAAGGGAAGAAGTATTAAATCTAGTTGCAGAGTTCGTAAAAGCAAATAACTTGGAAACCCCATTTAGGAACAATAAACCCGGCAAAGACtggtttattaattttagaaaaaggCACAGactttctattaaaaaaccacAGCCAGTTGAATacgtaagaaaaaaaatgactgaCCCATTTGTAATCTCTGAATACTTCAAACTATTGCGGGATACACTGACTGCTTTAAATCTATTTCAAAGTCCACATTTGATTTGGAATATGGATGAAACATCTTTGTCTCTCGACCCAACTAAGACAAAAGTTGTTGGCGCTATTAACAAACCATGTTCCAGAACAACCTTTGGAACTGGAAAAGAGAATATCACCGTACTGACAACAGTAAGTGCATCTGGCAAAAAGTTATCACCTTTAATAGTATTTAAAGGAAAGTACGTCTGGGACCAATGGATGGCTACAACCGAGAATTACGATTTTGAGCTGTCATATGCAGCTAGCTCCAAAGGCTGGATGGAGACTGACATTTTTTACAACTACATGGCAAAGAGTTTAATTCCAGCTTTAGGTGAAGAACGTCCTGTACTAATAATTTACGATGGACATTCCACGCACGTAGATACAAAAGTCATAGAGTTGGCAGTAAAAAACGATGTTACAATTATTAAGCTGCCGCCTCACACATCTCACTTGTTACAACCCCTCGATGTTGCggtttttaaatcatttaagaCCAAATGGGATTGTAAATTAGTTGAATGGCAGCGCCACAATGTTGGCATAAAGATGCCTAAAAAAGTTTTTGCTCAAACTTTCGCAGAAACGTGGCAAGAAACGGATCCAGATGTGATTAAAAGTGGATTTAAAAAATCTGGCATTCACCCATTTGATCCTCAAATAATACCTGAAGACAAATACGATCCCGCTGCTTACAGAagatatatagataaaaaaaaatcagaatgtTCTCTTCCACAGGTGCAGTTAAGTCCCAAAACCCCAAAGTCACTGAACAAACTGtgcgttgatttttttaacaaagaatTTCAAATTGCTGGTGAATTGCATATTCTTGATCAAGAAACTACTGAAAAaggtgtaatattttttaatacattatcAAAATCAGATAAACAAAATCAAGCTTTTGTAGCAAAATCGACTTCGACGTTACCAGAATGCCTGCAAAGCAATCATTCTCAACTCAAAGAAAATAAAccatctaaaataaatataatctcagatataaaaataaactttgaagAACTTTTGCTAGAAAAAATACGCCAGGATAAAAAAGACAATACTTgtgtaagaaaaaaaagagtGGCAAAAGGTGCGGAAGTGATTACTGCATCTAAAAGAGATGTTGAAAAAAAGGAAAACCAAGTAACTACTCAATGTTTATTATCTCAAGAAGTGAAGACACGGGATTTGAAGGGTAAAAGAAAGTTGAAGAGCTCTATTACAAAGTCAGGTCCGTCGGACATAAAAAAagcgaaaaacaaaaaacaaagcaaaaaaaaatcaaaacgacAAGATTCAACCAGCTCTTCAACCAATATCTCAGATGTTATTAGTGTTTACAGCGAAATAGAGTATGATAATCGTGAAGATGAAAGATTTACAGACGAATTCTGGgacgaaaattattttgatatacgaATAGATGAAGAACTCAAATTACAAGATATAGAATGCGATAATTTTAGTAAACAGGAAATAATGTTTAATATATCggatcaaagaaaaatattgggTGAAGAAAATTTCAACACCCTACATGACAAAAAAACCAAAGGTAAAGgcaaaggcaaaaaaacgaaGACAGGAAAAGAAAATTACAAAGTTCTCAGAAATAATGACGAcactcaaaataataaaaaaaccgaaaATTGTGACAAGACTGATGAAGAAAAAGAGACGAACAATAGTAATACTGAAAACAGTAACAAAACTAAAGAAGAAGAAACGACCgtagacaaaaaaataactctAAATACGGATAAAGACGCAATAGAAGAagaaattgatgaaaaaaaggAACCATACAAGTTAAATGATGCAGTGCTAGTGAGGTACTTTAGCAGAAAGAAATGGACCTACTATATTGGCTTCATTGagaatatgtttaaaaaaaattacgagaCTTATTACAACGTTGATTTCCTAAGGACAATTAAAAGACCACATCTTACATTTgtccaaccaaaaaaaaaagatcgtgACGAAATAACGGAACTATTAATCATAAAGAAAGTAGAATTAGAAAGAAATGATagagaattttatttgttagatgaaagtaacaaaatatattttgaataa
Protein Sequence
MPNKYVKKKIPKYTQEDITNAVREVKNDGLSMYAAAQKYGIPSTTLYDKIKETYSTNVVGRRLAIPWEAEIRLADAIKTMEKWGFGLSREEVLNLVAEFVKANNLETPFRNNKPGKDWFINFRKRHRLSIKKPQPVEYVRKKMTDPFVISEYFKLLRDTLTALNLFQSPHLIWNMDETSLSLDPTKTKVVGAINKPCSRTTFGTGKENITVLTTVSASGKKLSPLIVFKGKYVWDQWMATTENYDFELSYAASSKGWMETDIFYNYMAKSLIPALGEERPVLIIYDGHSTHVDTKVIELAVKNDVTIIKLPPHTSHLLQPLDVAVFKSFKTKWDCKLVEWQRHNVGIKMPKKVFAQTFAETWQETDPDVIKSGFKKSGIHPFDPQIIPEDKYDPAAYRRYIDKKKSECSLPQVQLSPKTPKSLNKLCVDFFNKEFQIAGELHILDQETTEKGVIFFNTLSKSDKQNQAFVAKSTSTLPECLQSNHSQLKENKPSKINIISDIKINFEELLLEKIRQDKKDNTCVRKKRVAKGAEVITASKRDVEKKENQVTTQCLLSQEVKTRDLKGKRKLKSSITKSGPSDIKKAKNKKQSKKKSKRQDSTSSSTNISDVISVYSEIEYDNREDERFTDEFWDENYFDIRIDEELKLQDIECDNFSKQEIMFNISDQRKILGEENFNTLHDKKTKGKGKGKKTKTGKENYKVLRNNDDTQNNKKTENCDKTDEEKETNNSNTENSNKTKEEETTVDKKITLNTDKDAIEEEIDEKKEPYKLNDAVLVRYFSRKKWTYYIGFIENMFKKNYETYYNVDFLRTIKRPHLTFVQPKKKDRDEITELLIIKKVELERNDREFYLLDESNKIYFE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

90% Identity
-
80% Identity
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