Basic Information

Insect
Phasia obesa
Gene Symbol
pol
Assembly
GCA_949628195.1
Location
OX451217.1:55559105-55568736[+]

Transcription Factor Domain

TF Family
zf-NF-X1
Domain
zf-NF-X1 domain
PFAM
PF01422
TF Group
Zinc-Coordinating Group
Description
This domain is presumed to be a zinc binding domain. The following pattern describes the zinc finger. C-X(1-6)-H-X-C-X3-C(H/C)-X(3-4)-(H/C)-X(1-10)-C Where X can be any amino acid, and numbers in brackets indicate the number of residues. Two position can be either his or cys. This family includes Swiss:P40798, Swiss:Q12986 and Swiss:P53971. The zinc fingers in Swiss:Q12986 bind to DNA [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 10 1 1.9e+04 -2.6 0.3 1 4 717 720 717 721 0.89
2 10 0.00037 7.1 8.4 16.9 1 18 742 759 742 760 0.98
3 10 3.4e-10 6.4e-06 27.7 14.5 1 19 769 787 769 787 0.98
4 10 0.39 7.3e+03 -1.3 12.8 9 19 832 842 824 842 0.88
5 10 0.025 4.7e+02 2.5 5.2 4 11 856 863 845 864 0.87
6 10 0.69 1.3e+04 -2.1 0.9 6 10 923 927 922 927 0.90
7 10 9.3e-06 0.18 13.5 5.3 1 11 933 943 933 944 0.96
8 10 3 5.7e+04 -5.5 2.1 15 18 957 960 957 961 0.84
9 10 0.0092 1.7e+02 3.9 16.1 3 19 973 989 972 989 0.92
10 10 4.5e-07 0.0086 17.7 12.7 1 18 1040 1059 1040 1060 0.91

Sequence Information

Coding Sequence
ATGTCCCAAGTACAGAGGACAAGTTGCGGCGATGTGACGGCAGTCTGTGGAGAGGCTAAAGATGGACAAAGTCTCATTCTAGCCTCGGTCTACATGCCCTATGAGGCCGATAACCCACCGGGCATGATTGTAAAGGAGCTAACCAGGTATGTCAGTAGACGGAAAGCTAACCTGGTACTTGGCTGTGATGCCAATGCTCACCACAGTCAATGGGGAAGCAGTAACATCAACACCAGGGGTGAGTTGGtctttgattttattactaCTAATAACCTTATTATAACTAACAAGGGTAATATTCCGACATTTAGTAATAGGGTTAGGGAGGAAGTTATAGATATCACTTTGACCAACAATAGGGATCTAGTAATAGATTGGAGGGTTTCTACGGACTGCTCCTTTTCGGACCATAGTAGAATTTCCTTCAAACTGAACTTTAGTAAACCAAAGTGTAACCCTTATTTAAATCCCAGGAAAACAAATTGGGATCTATTCAGGGTTAATGTGGAGTCCAAGCTGGTTGTTACTTCCTTATGTGGGCAGTCACAAAGTGAAGTGGGTGCAGTGGTGAAGGTGAAGGTGACACAAGTCTTTAGGGAGAGTTTTGAGCTGTCATGTCCAAGAACCTTCCCGGGCAAAAGGGAACAGCCCTCCTGGTGGACCAAGGATCTAAAGGATCAAAGGTCTACGGTTAGAAGGCTCTTCAACAGGGCAAAACTCACGCGTAAGATTGAGGACTGGGACAGCCATAGAATAGCTTTCAATAAGTACAAGGGATCTCTTAAGAGGGTGAAAAGGGACTCGTGGACTAAGTACTGCGAATCCATTGATTCGGTCAGCGAGTTATCAAGGTTTAGACGTATACTATCCAAGGACCCCAGGGAAATCGGAAATATACAAAAGCTTGATGGCTCATGGACCGAAtctagctctgagaccctggaGCTACTTATGAACACGCACTTCCCGGGCTGTAGTGGGTTACGAGTCGATCATTCGGTTAGGGATTTTTACCCTAGATTGGTAGGGAGATCAGAGGTGGCGATCAAGGATTTAGTAACTGTGGACAAGGTTGCATGGGCGATTAATACCTTCGAGCCTTATAAATCTGCTGGCCCGGATGGTAGTTTTCCGGCCATGATGCAAAACGTCCCGATACATATCTTGAAGCTGTTTAGGGACATCTTTAGGACGTGTTTAGCAAGAGGTGTTATACCCAATTGGTGGAGAGAAGTTCGGGtaatatttattcccaaggcTGGTAAGGCAAGCCACTCGAAGCCAAAGGACTTCAGACCGATTAGCCTATCGTCTTTTCTGTTGAAAACGTTAGAGCGTGTTATCGATCTGCACCTAAGGAACTCAATTGACCAGCACGTCATTAGTGACGCTCAGCATGCTTACCTTAAGGGTAAATCGGTTGAGAGTGCGCTTCATAATGTGGTTAGGTATATTGAGCGCGGCTTACAGGATAAGGAATATACGTTAGCGGCGTTCttagatattgaaggtgccttcaaCAATGTTACTTTGGAGGCTATTAGGGAATCCCTAGTAGATCTTAACATCCAGGACTTCATAGTGGAGTGGATTATCCGTATGCTTAGCAGTAGGATCATCAACTCGGAGCTAGGAGGCGGCTGTTTGCGAAAATTAGTCACTAGGGGTACGCCGCAGGGTGGGGTTCTATCCCCACTACTATGGCTGTTAGTGGTGAATGTCATTTTACGACAATTTGATACACAGGGAAGGAAAATAGTGGCCTACGCAGATGACGTGGTGTTATTGGTGAAAGGGAAATTTCTCTCCACTATCACAGAAGTCATGCAGGCTGCACTTGGGGAGCTCTCATCCTGGGCCTCGAGCAAAGGGTTGGGGGTCAATGGTGATAAAACTGAACTAGTTCTCTTCACCAGGAGATACAAAGTGGTTGGCTTCAAACCACCCAAAGTTAATGGTGTTAAGTTGAAACTAGCAAGCGAGGCTAAATACCTAGGAGTTTATCTGGATAGTAAACTGGTCTGGAGCAGGAACATTCAGGAAAGACTTAAAAAGGGTATAAATGCCTATTATGCCTGCAAGAACTCCATAGGGAAAACTTGGGGCCTACAACCAAAGTGTTTAATTAGAACAAAGAAGAAATGCCGCTGTGGTATGCATGAAAAAGACTTGCCGTGCTTCAAGGAATTTTCTTGTGAAACCAAATGTAAACAGATTCGAGATTGTGGCAAGCATCCTTGTAATCGtaagtGCTGCGATAAAAATTGTCCACCATGTGATAAAGTGTGTGGCAAACCGTTGTCGTGTGGAAAACATAAATGTCAGTCGATTTGTCACAAGGGACCCTGTTATCCCTGCCAGCAAAAATCACAAATCAACTGTCGTtgtggtaaaactaaaaagtatgTTCCATGCGGCCGAGAGCGTACAGCACGTGTAGTTTGTTTGGAACCATGTCGTATCCCCTCAAAATGTCATCATGAAAACAAACATCGCTGTCACAAAAACGAGTGTCCACCTTGCCCACAACCCTGTGGCTTACCAAATGAAACCACCAAGTGCGATCATAAATGTATGGCGAAATGTCATGCATCGGTTAAGGTTGCTAAAAAATCAAGTCCCGATACATCGAGCATATGGGAACCCAATAAACAGTTTGAATATATACAAACGCCCCATCCGCGATGTGAACAAAAAGTAAGCGTTGCTTGCATAGGTGGCCACGAATTAGCCGTTTGGCCCTGTTGGAATTCTAAACCTACATCCTGCCAACGTTTGTGTAACCGTTATCTGCGCTGCGGCAATCATAAATGTTCTTTAGTCTGTCATGTTGTAGAGAATATAAAAGACATGAATGAGCAAACTGGCTGTTCCCCATGTGAAGAAGGTTGTAAGCTTCCTCGACCCGAAGGATGCACTCATAATTGTCCTAGACCATGTCACTTGCCACCTTGTAACCCATGCAGTGTCTTGATTAAGACAAAATGCCATTGTGGCTTAATGCCTGTTATTTACAAGTGTTGCGATTATTTTAATGCAGACGCCAGTGAAGGGGAAACTTtagaaaaacaagaaaacttGAAAAGTTGTGGAAATaggtgtttaaaaaatTACCCATGTGGTCATCGCTGTTCAGCCAAATGTCATTCTGGGCCTTGTCCTTATCCTGAATCTTGTCGCAAAAAAATGCGCATCTACTGTGATTGCAAACGTCTAAAATCTGAAATCTCTTGTGACAAATATCGCGCTGGCCTCGAAAAATTGAAATGCgatgaaaattgttttgaatcacaaaaaaatatcgaaCAAGCACGCCAAACGGAAGAGGAATTACgaagaaaacaagaaaaagagCGCAATCGTTTAGAAGTGGAAcagtttgaaaaaaagtttagcaAGCGAAAACCTAAGGAACGTAAAACATTGGAAGTGAAGCAGAAGAATGATATTAATTGGCAGCTAATTGGGGTGTATACTGGCGTTGTTGCAGCTGTGTTATTAGCAGTTGCTTTAGCTTTTTACGAGGATCGTTAG
Protein Sequence
MSQVQRTSCGDVTAVCGEAKDGQSLILASVYMPYEADNPPGMIVKELTRYVSRRKANLVLGCDANAHHSQWGSSNINTRGELVFDFITTNNLIITNKGNIPTFSNRVREEVIDITLTNNRDLVIDWRVSTDCSFSDHSRISFKLNFSKPKCNPYLNPRKTNWDLFRVNVESKLVVTSLCGQSQSEVGAVVKVKVTQVFRESFELSCPRTFPGKREQPSWWTKDLKDQRSTVRRLFNRAKLTRKIEDWDSHRIAFNKYKGSLKRVKRDSWTKYCESIDSVSELSRFRRILSKDPREIGNIQKLDGSWTESSSETLELLMNTHFPGCSGLRVDHSVRDFYPRLVGRSEVAIKDLVTVDKVAWAINTFEPYKSAGPDGSFPAMMQNVPIHILKLFRDIFRTCLARGVIPNWWREVRVIFIPKAGKASHSKPKDFRPISLSSFLLKTLERVIDLHLRNSIDQHVISDAQHAYLKGKSVESALHNVVRYIERGLQDKEYTLAAFLDIEGAFNNVTLEAIRESLVDLNIQDFIVEWIIRMLSSRIINSELGGGCLRKLVTRGTPQGGVLSPLLWLLVVNVILRQFDTQGRKIVAYADDVVLLVKGKFLSTITEVMQAALGELSSWASSKGLGVNGDKTELVLFTRRYKVVGFKPPKVNGVKLKLASEAKYLGVYLDSKLVWSRNIQERLKKGINAYYACKNSIGKTWGLQPKCLIRTKKKCRCGMHEKDLPCFKEFSCETKCKQIRDCGKHPCNRKCCDKNCPPCDKVCGKPLSCGKHKCQSICHKGPCYPCQQKSQINCRCGKTKKYVPCGRERTARVVCLEPCRIPSKCHHENKHRCHKNECPPCPQPCGLPNETTKCDHKCMAKCHASVKVAKKSSPDTSSIWEPNKQFEYIQTPHPRCEQKVSVACIGGHELAVWPCWNSKPTSCQRLCNRYLRCGNHKCSLVCHVVENIKDMNEQTGCSPCEEGCKLPRPEGCTHNCPRPCHLPPCNPCSVLIKTKCHCGLMPVIYKCCDYFNADASEGETLEKQENLKSCGNRCLKNYPCGHRCSAKCHSGPCPYPESCRKKMRIYCDCKRLKSEISCDKYRAGLEKLKCDENCFESQKNIEQARQTEEELRRKQEKERNRLEVEQFEKKFSKRKPKERKTLEVKQKNDINWQLIGVYTGVVAAVLLAVALAFYEDR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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