Basic Information

Gene Symbol
-
Assembly
GCA_933228835.1
Location
CAKOGE010000047.1:2937128-2947761[-]

Transcription Factor Domain

TF Family
zf-BED
Domain
zf-BED domain
PFAM
PF02892
TF Group
Zinc-Coordinating Group
Description
The BED finger, which was named after the Drosophila proteins BEAF and DREF, is found in one or more copies in cellular regulatory factors and transposases from plants, animals and fungi. The BED finger is an about 50 to 60 amino acid residues domain that contains a characteristic motif with two highly conserved aromatic positions, as well as a shared pattern of cysteines and histidines that is predicted to form a zinc finger. As diverse BED fingers are able to bind DNA, it has been suggested that DNA-binding is the general function of this domain [3].
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 7 0.022 15 6.1 0.1 3 43 7 50 5 51 0.81
2 7 1.4e-11 9.2e-09 35.5 2.6 1 44 69 111 69 111 0.97
3 7 3.7e-06 0.0025 18.1 0.1 2 43 188 229 187 230 0.95
4 7 1e-10 6.9e-08 32.7 1.2 1 44 310 353 310 353 0.98
5 7 1.6e-12 1.1e-09 38.5 3.2 1 43 379 421 379 422 0.96
6 7 1.3e-11 8.5e-09 35.6 0.9 3 44 474 515 473 515 0.97
7 7 2.5e-10 1.7e-07 31.5 1.0 3 44 558 599 556 599 0.97

Sequence Information

Coding Sequence
ATGTCGATTAAAAATGGATTATGGAATTTTTTCAATAAGGAAACAATTGAAATCATAGGCAACGAAAGGAGAGTGCAATGCGTTCTATGCGACAGTATGTTAAGTTACACGGTTAAAGCAGACTTAAAACTCCACCTGGTTAAGTATCACGCtaactatataaatatactagaAATGAAAAATAGGAAACCTCGTGCCCGCGTATCGAGTGCGTGGAAGCATTTTAAACCCACAAATTGCAAATATTTTGCCGAGTGCATTTACTGCAAGAATCTTTTTTCGTACAAAGCAACGGTTGCTAACTTGACAAAGCACGTACTCCGAGCTCACCCAGAAGTTGACTACAATGCGGCTCCTGATAGCGACAAAAATGACGATTCTGTCATAAATGAGTGTGAAGATTCTGAAGACATGCACTTCGATGGAGAACAGCCGAACGAACACCACAACTCGGCAACGGCGCCGAAAAGTTCAACGTCTGAAAACGACGAAACCGAAACGACGTTTGAAAATGAAGACATTAGTAATGTTTATAATAGTTCTACGCCTAAAGGAAGTGATGTATTATGGACCTTTTTCGAAAAGTCCAACGATGGAACCCAAACTGCTAGTTGCAATTGTTGTAGTGAAAAGTTGTCTTATGAACCTGACTTGTCTGTTTTGAAAGCACATTTAAAAAACGAACATATTTCAGAATATAATAACTATTTGACTTTGGTAGAACATATTGAATCTGCACCTGAAAATTCAGCGTCCGGCACCGATAATAAAGTCTCCCTTGAAAATCAAGAAATTGATAATGGGTCTCCTACATTTGTAATTGAAACAGTTGAAAGTGGGCCTAATAGCCCATCCGTATCTACGCAGGAAAATTTATCATCTGACAacgaaaaaactaaaaattgtaCACGCCCCGAAAGGCCTAGTTCCTCGGTATGgatctttttcacaatattagATGAGCACAAGAAAATCGCTGTTTGTAATAATTGCAGTATAAAAATGTCTTACAAAACTACAATAGGTAATTTAAAGGCACATTTGAAGAACAAACACCCTTCGGATTATAAAATACTATCGGGTTTGCCAAATCAGCTTGAGTCGACACCTGAaaatatgaaagaaagaaagtctTCAGTAATATGGAACTTCTTTGAGAAGTCCCGTTCCGGTAACAGAACTGCCGTTTGTAATTATTGTAGTAAAAAATTATCGTACAAGACTACAATAACCAATTTGAAATCGCATTTAAAGAATTCACACTTTGCGGAATATAGTATTTTTTGTGAGTTGATTAAAGAGATGGAATCTGCTAACACGTTTGAAGATTCCACATCTGAGGTTGAAAATGCTGACAATGTGTGCGAAGGCAGTTCAAAGTCTACAACAAGAAAAAGGCGTATTATCAGAGACGGGATCATATGGAACTTTTTCGAAGAGTCCCATTCTGGTGACAGAATCGCTGTCTGTAATTATTGTAGTAAAATGATTTCCTACAAAACTACAATAGCTAATTTGAAAGGCCATTTAAGGGTACGACATAAGTcggaatataatatatttgttgAATTGACAAAACAGCTCAGGAGTGTTGAGAAAAGACTTGAAAATACCACGTCTGACATTGAAGAAATTGAGAACGTGCGTCCCTCAACGTCGGGAGATGACGGTATATGGAAGTATTATGAGAGGTCCAAATATGGCCTCTGGATCGCTATTTGTAATTATTGTGGTTCACATTTGTCCCACCAATCTACAACAATTAACTTAATAACTCATTTGAAGGATGAACACCCTGAGATATACAGAGAATATTCAGAATTTGGAGGAGGTTCGAGATCGAGAAAACGTCGGCATTCATCTTGCGTTTCGGGACGCAGCGATATAGCATCAGAGTCAGGCAAAACAACAGTCAACGCTATGGCCCGCTCAGTTGGTTGTTTACTAGTTCGGAGCGGCAACGTCGCCTTTCCCCACGACGCGGGCTCTAATCGCTCTTGCGCTCTATACTATTGA
Protein Sequence
MSIKNGLWNFFNKETIEIIGNERRVQCVLCDSMLSYTVKADLKLHLVKYHANYINILEMKNRKPRARVSSAWKHFKPTNCKYFAECIYCKNLFSYKATVANLTKHVLRAHPEVDYNAAPDSDKNDDSVINECEDSEDMHFDGEQPNEHHNSATAPKSSTSENDETETTFENEDISNVYNSSTPKGSDVLWTFFEKSNDGTQTASCNCCSEKLSYEPDLSVLKAHLKNEHISEYNNYLTLVEHIESAPENSASGTDNKVSLENQEIDNGSPTFVIETVESGPNSPSVSTQENLSSDNEKTKNCTRPERPSSSVWIFFTILDEHKKIAVCNNCSIKMSYKTTIGNLKAHLKNKHPSDYKILSGLPNQLESTPENMKERKSSVIWNFFEKSRSGNRTAVCNYCSKKLSYKTTITNLKSHLKNSHFAEYSIFCELIKEMESANTFEDSTSEVENADNVCEGSSKSTTRKRRIIRDGIIWNFFEESHSGDRIAVCNYCSKMISYKTTIANLKGHLRVRHKSEYNIFVELTKQLRSVEKRLENTTSDIEEIENVRPSTSGDDGIWKYYERSKYGLWIAICNYCGSHLSHQSTTINLITHLKDEHPEIYREYSEFGGGSRSRKRRHSSCVSGRSDIASESGKTTVNAMARSVGCLLVRSGNVAFPHDAGSNRSCALYY

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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