Basic Information

Gene Symbol
stc
Assembly
GCA_030522785.1
Location
JAPYZK010001816.1:1044-8455[-]

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 15 1 3.8e+04 -4.2 1.6 15 19 420 424 419 424 0.81
2 15 0.072 2.7e+03 -0.5 0.3 4 10 452 458 451 458 0.94
3 15 1e-07 0.0039 18.2 12.0 4 18 469 483 467 484 0.93
4 15 3.1e-05 1.2 10.3 15.0 1 18 520 537 514 538 0.85
5 15 0.14 5.2e+03 -1.4 0.7 1 10 547 556 547 556 0.75
6 15 5.4e-07 0.021 15.9 14.6 1 19 576 594 576 594 0.94
7 15 0.46 1.8e+04 -3.0 0.7 5 10 623 628 623 628 0.94
8 15 6.8e-06 0.26 12.4 10.8 4 18 641 655 640 656 0.96
9 15 0.7 2.6e+04 -3.6 2.0 5 10 685 690 685 690 0.93
10 15 0.013 5e+02 1.9 12.2 1 11 696 706 696 718 0.88
11 15 1e-10 3.9e-06 27.8 14.0 1 18 723 740 723 741 0.97
12 15 0.96 3.6e+04 -4.1 0.7 6 10 770 774 769 774 0.78
13 15 1 3.8e+04 -5.5 8.5 10 19 788 798 780 798 0.74
14 15 5.6e-07 0.021 15.9 14.0 1 16 834 849 834 860 0.87
15 15 0.0038 1.4e+02 3.6 12.8 1 19 866 885 866 885 0.96

Sequence Information

Coding Sequence
ATGGCGACTTGGGACGGTTCGAACCCGGAATCCCGGAACCCAAACAACTTCCACCACAACCAACAAGGCCGTTCACACCCGAAACCCCGAAACCCAAAGAACTTCTACTACTACAGCCAACAAACCAACCACCCTCAAAACTGGCAATATTACCCCCAAGAGCCGCCAAATTCTTATTACAACAACGCCGGGCCAACGAGCAACACGGCCTACtatcatcaaaattacaacaacTCTTATCAACCAGAAAATGGTCAATATTACTCTCCGGAGCTGCACCGGGAGCAAAATCACCACCCCTAccaaaaatatcatcaaaacAGAAATCCAGAATCAGGTTACAAGCCCCACAATCAACACCATCGAAGTCCTAATTACCGAAACCACCAAACCCAGAGAAACGAAGCtgctgaatattttgaaacggAACGTGAATCGGGCCACAATTCGCATTTCCGAAACCACCAAACGCAGAGGAACGAAGCTCCCGAACGTGAATTCGAGCACTATTCGCAGGGAAACCAGGAAAATGCGCAATTCCAGCAGCAGAATCAAAGTTCTGCTGCGAATAAACGTAACAAAAATTATGGGGGAGGATCAGGGAGATTTTACAATGATAGGTATCAGAGGAATGAGGTGCATAATTGGAACAGTAATCAAAGCGGTAGATCGGATTTGGCTGGTCCAAGTTCGGAGGAGTGGAACAGGCGTGATTATAATAGgCATAAAGAAGAAAACAGGAATGTCCAGGAATTCGACGATCAAAGATCAGTTCGCAGCGAAAATTCTGGTGCCCCGGGAAGGAGATGGAAAAATAGCGAAGAAGGGGCAGTAGGAGGAAACAAATCGGAAAAATATCACGATAAATTTAAAGATAAAAGAAGCAAATATCTTAACAAACAGAAGCAACATCACACGAATGATGGAGAGAGTAAATATGAAAGAAAACCGGAAAAAAGGGAAGTTCCCAAGGAAAAGAAGGAAGAGAGCACGAATTGGAGGCAGAAATATTTGCTTGAAAACAAACCGAGTGTCGTGAAAAAGAAATATCACAACAAACAGGATTATGATGACGACGCCAGTCAGCGAGAGCGTTTGACAGATCAGCTAAATAGGGGTCAATTGGAATGTCTAGTTTGCTGCGAACATGTTCGTCAAAGTGATTCCATTTGGTCTTGTGCGAATTGCTACCACGTCTTGCATTTGAAATGCATCAAAAAATGGGCCAACGTTTCGCAAGATGaaaatggcTGGCGTTGTCCCGCTTGTCAGAACATTTCGATGAGTTTACCAGACGACTACTGTTTCTGCGGCAAAATGCAATCCCCGGAATGGAACCGTCGTGACACCGCTCATTCTTGCGGCGAAATATGCAAACGCTCTCGCGCCTTGAATAATTGCGTTCATAAATGCACGCTCCTTTGCCACCCCGGAGCTTGTCCGCCTTGTCTCGCCCTGATCACGAGATTCTGCGGCTGCAAAAAAACATCTCAGAGCCTGAAATGCAGCGCCACCACTCTTCTGCTGTGCGACGACCTTTGCGGCAAAATGCTCAATTGCGAGAAACACGAGTGCGCAAAAAAATGCCATCACGGGGATTGCGGGGTTTGCGAGGAAAAAGTAACACAAGTTTGCTTCTGTGGAAAACACAGCAGAGAAGTTCCTTGCGAAAAGGACACGTCTTTGATGTACGGTTGCGGAGAAATTTGCGATAAGACTTTGAATTGCGATAACCACAAGTGTACCAAGATTTGTCACGAAGGACCTTGCAAAGGATGTCCCTTTATTCCCGACGTCGTGACTCATTGTTGCTGCCAACAAACTCTGCTCACAGAAAAGAGGTCCAGCTGTTTGGACCCTGTTCCTACTTGTGATAAAATTTGCTCCAAACCTTTGCCTTGGGGACATCCGaGCAATCCCCACAAATGCAAGGTGAACTGCCACACTGGAAACTGTCCGAAATGCGAATTGACAACGATGGTGAAATGCCGCTGTGGAAATATGGACAAAGAAATTCCTTGCGTCGAATTGGTGACGAAAGCTGACGACGCTAGgtgcgaaaaaaaatgcacgaaaaaaCGCGATTGTGGAAAGCACAAATGTGGTCAACTGTGTTGCATCGAAATCGAGCACATATGTCCACTTCCGTGTTCCAAGAATTTGAGCTGCGGTCGGCACAAGTGCGAGCAAACGTGTCATAGAGgTCGATGTCAACCATGTTATCGCAGCAGCTTCGAAGAACTGTATTGCGAGTGCCGCAGCGCCGTAATCTATCCGCCGGTTCCTTGCGGCACCAGGAAACCAGCCTGCGACAAACCGTGCTCGCGTCCGCATTCTTGTGGCCACGAAGTTTTGCACAATTGCCACAGCGACGCGACCTGTCCGCCGTGCACGATCCTGACGCAGAGGTGGTGCCACGGAAAACACGAGCTCAGAAAAGCCGTGCCTTGTCACATCAAAGAAATCTCATGCGGCCTCGCGTGCAATAAACCGCTTTCTTGTGGAAGGCACAAATGCAAAACTGTGTGCCACCCTGGCTCGTGCACGAAACAGGGCCAGAATTGCACGCAACCTTGCACCAATCCTCGTGCGTTGTGCGGCCATATTTGCGGAGCCCCTTGTCACGATTCGACGTGTCCCGACGTGCCGTGCAAAGAAATGGTCAagGTGTCGTGCCCTTGCGGTCACCGCAGCGTGAGTCGAGTCTGCGCCGAAAATTCCCGCGAGTACCAGAGAATCGCGACCGGAATTTTGGCGAGCAAAATGGCGGACATGCAACTGGGTCACTCGGTCGTGAATTTGAGCGAGGTTTTCGGACAAAACGCGAGAAAGCAAAATCAGCTGAAAACTCTCGACTGCAACGAGGAGTGCAAGGTCATCGAGAGAAATCGCCGACTGGCTTTGGGACTGCAAATTGTGAATCCGGACTTGAGCGGAAAATTGATGCCCCGTTACAGCGACTCCATGAAGCAGTGGGCTAAGAaagatccgaaattttgtcaaatggTGCACGACAAGTTGACGGAGCTTGTGCAAATGGcgaagaattcgaaactcaAGTCGAGAAGTCATTCTTTCGAGTGCATGAATCGGGAGAAAAGGGCTTTTTTGCACGAGTCTTGCGAACACTTCGGGTGCGAGAGTCAGGCTTATGATCAGGAACCGAATCGTAATGTCGTGGCGACGGCTGTTAAAGATAAGtgctGGTTGCCAAGTTACAGTTTACTAGAAATGATTCAAAGGGAAAGTGGTCAACGAAAAGTGCCTGGGCCGGTTTTGAAGAGTACAGTCGGTGCTGCAaggGGTGCCAACATACTGCCATTGAACAGTCGGAAGAGTCAAAAACCTTCGACGAGTTCGGcgtaa
Protein Sequence
MATWDGSNPESRNPNNFHHNQQGRSHPKPRNPKNFYYYSQQTNHPQNWQYYPQEPPNSYYNNAGPTSNTAYYHQNYNNSYQPENGQYYSPELHREQNHHPYQKYHQNRNPESGYKPHNQHHRSPNYRNHQTQRNEAAEYFETERESGHNSHFRNHQTQRNEAPEREFEHYSQGNQENAQFQQQNQSSAANKRNKNYGGGSGRFYNDRYQRNEVHNWNSNQSGRSDLAGPSSEEWNRRDYNRHKEENRNVQEFDDQRSVRSENSGAPGRRWKNSEEGAVGGNKSEKYHDKFKDKRSKYLNKQKQHHTNDGESKYERKPEKREVPKEKKEESTNWRQKYLLENKPSVVKKKYHNKQDYDDDASQRERLTDQLNRGQLECLVCCEHVRQSDSIWSCANCYHVLHLKCIKKWANVSQDENGWRCPACQNISMSLPDDYCFCGKMQSPEWNRRDTAHSCGEICKRSRALNNCVHKCTLLCHPGACPPCLALITRFCGCKKTSQSLKCSATTLLLCDDLCGKMLNCEKHECAKKCHHGDCGVCEEKVTQVCFCGKHSREVPCEKDTSLMYGCGEICDKTLNCDNHKCTKICHEGPCKGCPFIPDVVTHCCCQQTLLTEKRSSCLDPVPTCDKICSKPLPWGHPSNPHKCKVNCHTGNCPKCELTTMVKCRCGNMDKEIPCVELVTKADDARCEKKCTKKRDCGKHKCGQLCCIEIEHICPLPCSKNLSCGRHKCEQTCHRGRCQPCYRSSFEELYCECRSAVIYPPVPCGTRKPACDKPCSRPHSCGHEVLHNCHSDATCPPCTILTQRWCHGKHELRKAVPCHIKEISCGLACNKPLSCGRHKCKTVCHPGSCTKQGQNCTQPCTNPRALCGHICGAPCHDSTCPDVPCKEMVKVSCPCGHRSVSRVCAENSREYQRIATGILASKMADMQLGHSVVNLSEVFGQNARKQNQLKTLDCNEECKVIERNRRLALGLQIVNPDLSGKLMPRYSDSMKQWAKKDPKFCQMVHDKLTELVQMAKNSKLKSRSHSFECMNREKRAFLHESCEHFGCESQAYDQEPNRNVVATAVKDKCWLPSYSLLEMIQRESGQRKVPGPVLKSTVGAARGANILPLNSRKSQKPSTSSA

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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