Basic Information

Insect
Thereva unica
Gene Symbol
TFCP2
Assembly
GCA_949987705.1
Location
OX465281.1:219840802-219867872[-]

Transcription Factor Domain

TF Family
CP2
Domain
CP2 domain
PFAM
PF04516
TF Group
Beta-Scaffold Factors
Description
This family represents a conserved region in the CP2 transcription factor family.
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 2.4e-70 9.2e-66 223.3 0.2 25 221 387 583 357 585 0.92

Sequence Information

Coding Sequence
ATGGGACATGAAGTCGCAGATTTAAATATTGCGGCAGCATACTGTCCTCCACGAGATACCCCAACGAAATCTCAATTTACCAACGTCTTCAATAACCTTGGTCCAAGATTCATTATTGGCGGAGACTACAATATAAAGCATACGGCATGGGGTTCCAGACTAATTTCACCCGGAAAAGGAAATGAACTTCTAAGTGctattaacgaaaacaagtgTGATTATCTGTCTTCACGGGGACCAACGTATTGGCCAACGGATGCAGCAAAGATTCCAGATCTTCTCGATTTCTTCATCATAAAAGGTATTTCTTCCAGCTATACTCAAGCAGAAGGGATTCATGACTTAACATCTGATCATACACCCGTTCTGCTGTCAATAAGCGCGACAAtcatcaagaaaaagaaaaagcagaATCTCACAAATAAGTATACAGATTGGGATCTCTTCAGAAAAACACTGGAAGAGCTGATCAGCTTAAAAGTGAGGCTTAAAAGTAATGAAGAATTggaacaacaaacaaataacttcaTTGAACACATTCGAATGGCAGCCAGCAGAGCAACTCCTGAATTAGAAGACAAAGAAGAGTGTGAAATCAAATACCCGGCCGAAATCAGAGAACAAATCAAGCAAAGAAGAAAGGCAAGGAGAATATGGCATCTTACCAGAAATCCTGCTGATAAAACAGCGTTCAATAGAGTAAggCGGGGAAGCTGGACAGACGTTATAGATTTTGACCTCAATGGCGAATTTAGCAACAATGGATATTTAAACAATGAAACCTTCCTGTCACTTTCATCTGCACTAACTGTATTAAAGCAAGAAATTCCATCACCAAGCAGCGGCACTCAAAAACGCAGCAAAAGCCCAAACGACGCCTCAAACAataaatcattaataaataatgaagatcGCGATAAAGAGCTACCAGGGAAGAATTGCAGCAACTCTAGTGAAGGCACCTTAACTAATCCAGGTTCTAATCAATCGGGTTCACAATCCGAACCACATAAAGGTCAACATGGATCGATAGAACAAAATGGACAACGTTCTGGCTTggcaaattttcaacaaatgctTCAGCAACAAAGTAATTTAGAAACTATTAGtgcaAAAAATAGTCCGAATCATATTGATATAGGAAAAGGCGACATAATTTCCGATGATTACAAATTTCAATATATTTTGGCTGCGCCAACATCGATCGCTACTAAGAGTAACGAAGAAACTCTCACCTATTTAAATCAAGGCCAAAGCTATGAGATTAAGCTTAAAAAAATTGGAGACTTATCGTTCTACAGAGGGAAGGTTTTAAAGAGTGTAATAAAAATTTGCTTCCACGAGCGTCGCCTTCAGTATATGGAACGTGAGCAAATGCAGCAATGGCAAGCGTCAAGGCCAGGTGAACGAATAATCCAGGTCGATGTACCGTTGTCATATGGACTATGTCATGTCTCGCAGCCTCTTAATCCGAATTTGTTAAATACCGTAGAAGTGCTGTGGGATCCGATGAAGGAGGTCGGCgtctatattaaattaaattgtatATCAACTGAATTCACACCAAAAAAACACGGCGGCGAAAAGGGAGTCCCATTCAGAATACAGATTGAAACGTACCTAGAAAATACCAATAGTGATAGCCCTAGCAAGCCAATTCATGCAGCTGCTTGCCAAATTAAGgtttttaagttaaaaggaGCAGATAGAAAACATAAGCAAGATcgtgaaaaaattcaaaggcgCCCGCCTTCAGAACAGGAGAAATATCAACCAAGTTATGAGTGCACTATACTGAATGATATTCCCTTGGAATCAATCATTCCAGTAGGATGCTACAGCCCAGAATATATCAAGCCAACAGTTTCACCATTAATGCCAAATTCACCAGTGCATATGCCCAAGTATGACGGAATTATACCGTTTCCAAATAATCCCAGCCCGATCGCTATTAACAGTGTAACATCAacaaatacaaataattttaagtTAATGGATCAAAATATGGTATCACCTCAAGTCGATATAGAGGATTATTGCGGAAGCTTAACTAAGGACTCTACACCTGGACAAGTCTCGCAATGGTTATCTTATCATCGTTTAAATGCATATGTAACAACGTTTGCCCATTTCTCTGGATCAGACATATTACGaaTGGCAAAAGAGGATCTTATTCAGATTTGCGGTTTGGCTGATGGCATACGCATGTTTAATACATTACATGCTAAAGCAATAACTCCACGACAAACGATTTACATCAGCTTGGACGGAACTAATTATCATGCTATTTATCTGATTTCCAACACAATAAAAGAACTTACCCAGAAGCTATTTAAAATGCCCGGATTTTATGAATTATGTGCAAGCAATTCAAACATGAATGGAGTAGACGGAAATGTTTATTCAGGATGGGgaaTGCAATCAAAATACTCAGGCAGCGGTTCAAACTTGTATGATGCCTCTAAAATAGCAATTTATATAAATGGACCATCCGGAATACATGTCTTAGTCACTGATGAAGTCTTAAACAACATCAAGGAGGAAAGTTTATTTACACTTGAAGTACAAAATGGAAAAGTACTTATGAAAGCGGTTTACAAAAATGAaaccaattaa
Protein Sequence
MGHEVADLNIAAAYCPPRDTPTKSQFTNVFNNLGPRFIIGGDYNIKHTAWGSRLISPGKGNELLSAINENKCDYLSSRGPTYWPTDAAKIPDLLDFFIIKGISSSYTQAEGIHDLTSDHTPVLLSISATIIKKKKKQNLTNKYTDWDLFRKTLEELISLKVRLKSNEELEQQTNNFIEHIRMAASRATPELEDKEECEIKYPAEIREQIKQRRKARRIWHLTRNPADKTAFNRVRRGSWTDVIDFDLNGEFSNNGYLNNETFLSLSSALTVLKQEIPSPSSGTQKRSKSPNDASNNKSLINNEDRDKELPGKNCSNSSEGTLTNPGSNQSGSQSEPHKGQHGSIEQNGQRSGLANFQQMLQQQSNLETISAKNSPNHIDIGKGDIISDDYKFQYILAAPTSIATKSNEETLTYLNQGQSYEIKLKKIGDLSFYRGKVLKSVIKICFHERRLQYMEREQMQQWQASRPGERIIQVDVPLSYGLCHVSQPLNPNLLNTVEVLWDPMKEVGVYIKLNCISTEFTPKKHGGEKGVPFRIQIETYLENTNSDSPSKPIHAAACQIKVFKLKGADRKHKQDREKIQRRPPSEQEKYQPSYECTILNDIPLESIIPVGCYSPEYIKPTVSPLMPNSPVHMPKYDGIIPFPNNPSPIAINSVTSTNTNNFKLMDQNMVSPQVDIEDYCGSLTKDSTPGQVSQWLSYHRLNAYVTTFAHFSGSDILRMAKEDLIQICGLADGIRMFNTLHAKAITPRQTIYISLDGTNYHAIYLISNTIKELTQKLFKMPGFYELCASNSNMNGVDGNVYSGWGMQSKYSGSGSNLYDASKIAIYINGPSGIHVLVTDEVLNNIKEESLFTLEVQNGKVLMKAVYKNETN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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