Bcha001558.1


Basic Information
Transcription Factor Domain
Sequence Information
Similer Transcription Factors

Basic Information

Insect
Beris chalybata
Gene Symbol
ZBTB41
Assembly
GCA_949128065.1
Location
OX421894.1:25752802-25759953[+]

Transcription Factor Domain

TF Family
zf-C2H2
Domain
zf-C2H2 domain
PFAM
PF00096
TF Group
Zinc-Coordinating Group
Description
The C2H2 zinc finger is the classical zinc finger domain. The two conserved cysteines and histidines co-ordinate a zinc ion. The following pattern describes the zinc finger. #-X-C-X(1-5)-C-X3-#-X5-#-X2-H-X(3-6)-[H/C] Where X can be any amino acid, and numbers in brackets indicate the number of residues. The positions marked # are those that are important for the stable fold of the zinc finger. The final position can be either his or cys. The C2H2 zinc finger is composed of two short beta strands followed by an alpha helix. The amino terminal part of the helix binds the major groove in DNA binding zinc fingers. The accepted consensus binding sequence for Sp1 is usually defined by the asymmetric hexanucleotide core GGGCGG but this sequence does not include, among others, the GAG (=CTC) repeat that constitutes a high-affinity site for Sp1 binding to the wt1 promoter [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 20 0.002 0.27 13.0 3.8 1 23 173 195 173 195 0.99
2 20 0.0031 0.42 12.4 2.7 1 23 201 224 201 224 0.97
3 20 7.3e-06 0.00098 20.7 0.9 1 23 232 254 232 254 0.99
4 20 0.0014 0.19 13.5 1.6 1 23 260 283 260 283 0.95
5 20 0.0022 0.29 12.9 3.8 1 23 293 315 293 315 0.99
6 20 0.0021 0.27 13.0 0.4 1 23 321 344 321 344 0.97
7 20 0.0098 1.3 10.8 0.2 1 23 354 376 354 376 0.95
8 20 0.0002 0.026 16.2 5.5 1 23 510 532 510 532 0.99
9 20 0.0079 1.1 11.1 2.9 1 23 538 561 538 561 0.97
10 20 4.7e-05 0.0063 18.1 1.2 1 23 569 591 569 591 0.99
11 20 7.2e-06 0.00096 20.7 3.5 1 23 597 620 597 620 0.97
12 20 0.0015 0.21 13.4 2.3 1 23 628 650 628 650 0.99
13 20 7.7e-05 0.01 17.5 2.0 1 23 656 679 656 679 0.97
14 20 0.00011 0.015 17.0 1.7 1 23 687 709 687 709 0.99
15 20 0.04 5.3 8.9 3.6 2 21 716 735 715 737 0.94
16 20 0.00021 0.028 16.1 3.1 1 23 743 766 743 766 0.96
17 20 0.00065 0.086 14.6 1.3 1 23 776 798 776 798 0.98
18 20 0.00036 0.048 15.4 2.8 1 23 804 827 804 827 0.97
19 20 1.8e-05 0.0024 19.5 2.6 1 23 834 856 834 856 0.99
20 20 0.002 0.27 13.0 0.9 1 21 862 882 862 883 0.95

Sequence Information

Coding Sequence
ATGGTTTTAAATAAAGTGTGTAGAACGTGTCTGGATCCCAGCGAATCCTTGAGTTCTATTTTTAATTCGATTCAGTTGACAAATATTGAAGACACCGAAGTTCCAATTCTTGAAATGCTGGAAGTGTTCCATATTTTGGTATCTCCTGCCGACAGACTTCCAGATAAGATTTGTAGTGATTGTCTCGAAAAACTACAACGATCTtatactttcaaaataaaattcgatcaaGCACAAACCATTTTGAAGGAATTGAAGAAGAGTGGAAAAGATATGGataatttcatcaaatattCGGATTATACTGAAGAGGATTTTGAACCAATTGAAACAGAAAATATAGGAAATTGCTTTACATCAAAAACCGAACAACAAGAAGAGGAAAACAAAGCAGGTTCCAATCAATGCTTTACGAAAAAAGAGATAGTTCTCATTCAAGAAGTGAAGCAAGAACCCGAAATCGAAATAAACATGGAAGAAACAGACTTTGACGAAACAATAACGAACACTAGCAATTTTAAATGTACGacatgttcgaaattattcgaAGAAGAATATAAATTGCATCAACATATGAGAATCCACACGGAAGAAAAACCATTTCAGTGCGAAGAATGTCCGAACAACTATAGACTGAAGAAGTATTTGACGACACATATGCACCGGGCACATGGTGATATAACTCCtggaaaatttaaatgtttaataTGTGTGAAGTTTTTCGAATATAAAAGTGAGTTGGATGCACATATGAGAACTCATACAGGAGAAAATCCCTTCCAGTGCGAAATATGTCCGAACAAATATCGATTTAAAACCAGTTTGACGGAACATATGTACTTGAAACATGCCGATGGAATGACGAATACTGCAAGTTATACTTGTGagatatgttcgaaattataCCGTCAGAAATGTAGATTTGAGGACCATATGAGAATTCATACTGGTGAAAAGCCGTTTCAATGTCAAGTATGTGCAATAAAATATCGATTAAATGCAAGCTTGCAGAAACATATCCTAAGGAGTCATGCCGATATAATACCAGATAGTAAAAAGTTTGAATGTGCACCATGTTCCAAACTATTCGAAAGCAAAGCTCGTTTAAATGATCATATGAGAATTCATAGCGGTGACTTGCCATTCCAGTGTAAaGTATCGCCTGCCGAACTTCCAGATAAGATTTGTAGTGATTGTCTCGAAAAACTACAACGATCgtataatttcaaaataaaattcgatcaaGCACAATCCATTTTGAAGGAATTGAAGAACAGTGGAAAAGATATGGataatttcatcaaatattCGGATTATACTGAAGAGGATTTTGAACCAATTGAAacagaaaatatagaaaattccTTTGCATCAAATACTGAACAAGAAGAGGAAAAAATACCAGGTTCCAATCAATGCTTTACGACAAAAGAGATATTTCTCATTCAAGAAGTGAAGCAAGAACCCGAAATCGAAATAAACATGGAAGAAACAGACTTTGACGAAACAATAACGAACACTAGCAATTTTAAATGTACGACGTGTTCGAAATTAttcgaaaataaatataaattgcatCAACATATGAGAATCCATACGGTAGAAAAACCATTTCAGTGCAAAGAATGTCCGAACAAATATAGACTGAAGAACTACTTGACAAGCCATACGCAAAGGACACATGCTGATATAGCtactagaaaatttaaatgtttaacaTGTGTGAAGTTTTTCGGATATAAAAGTGAGTTGGATGCACATATGAGAACTCATACAGGAGAAAAACCGTTTCAGTGCGAAGAATGTCCGAAGAAATTTAGACGGAAGAACTATTTGACGAGTCATACGCAAAGGAAACATACTGATATAACtgctagacattttaaatgCTTAACATGTTTGAAGTTTTTCGGATATAAAACTGAGTTTGATGCACATATGAGAACTCATACAGGAGAAAAGCCCTTTCAGTGCGTAGAATGTCCGAAGAAATTTAGACTGAAGGACTATTTGACGAGCCATACGCAAAGGACACATGCTGATGTAGCtactagaaaatttaaatgtttaacaTGTTTGAAGTTTTTCGTATATAAAACTGAGTTGGATGCACATATGAGAACTCATACAGGAGAAAAGCCCTTACAGTGCGAACTATGTCcgaaaaaatatcgatttaagGCAAGTTTTGATAACCATATGAAATGTCATACAGGAGGAAAGTCCTTTCAGTGCGAACTATGTACGAAAAAATATCGCTTTAAAACCAGTTTGAATGCACATATGTACTCGAAACATGCCGATAAACAGACGTCTACTGCAAAATTTTCTTGTGAGATATGTTCGAAAGTATTTGAACTAAAATGTAAATTGGATGAGCATATAAGAATTCATACAGGAGACAAACCATACGAATGCAAAGAGTGTCCGACCAAATATCGGCTTAAATGCCTTTTGACTAAACATATCCGAAATGTACATCTTAGTGTAAGGGAAAAGTTTAAATGTGCgaaatgttcaaaattattcaCACGTAAGAAAAGTGTAGAAAGGCATATGAGAATTCATACAGGAGAAAAGCTATTTGAGTGCGAAGTATGTTCGACAAAGTTTCGGTATAAGGTCACTTTGGTGAATCATATATGCTGGAAAGCAATTTTAACAAAGCAGCCCTAA
Protein Sequence
MVLNKVCRTCLDPSESLSSIFNSIQLTNIEDTEVPILEMLEVFHILVSPADRLPDKICSDCLEKLQRSYTFKIKFDQAQTILKELKKSGKDMDNFIKYSDYTEEDFEPIETENIGNCFTSKTEQQEEENKAGSNQCFTKKEIVLIQEVKQEPEIEINMEETDFDETITNTSNFKCTTCSKLFEEEYKLHQHMRIHTEEKPFQCEECPNNYRLKKYLTTHMHRAHGDITPGKFKCLICVKFFEYKSELDAHMRTHTGENPFQCEICPNKYRFKTSLTEHMYLKHADGMTNTASYTCEICSKLYRQKCRFEDHMRIHTGEKPFQCQVCAIKYRLNASLQKHILRSHADIIPDSKKFECAPCSKLFESKARLNDHMRIHSGDLPFQCKVSPAELPDKICSDCLEKLQRSYNFKIKFDQAQSILKELKNSGKDMDNFIKYSDYTEEDFEPIETENIENSFASNTEQEEEKIPGSNQCFTTKEIFLIQEVKQEPEIEINMEETDFDETITNTSNFKCTTCSKLFENKYKLHQHMRIHTVEKPFQCKECPNKYRLKNYLTSHTQRTHADIATRKFKCLTCVKFFGYKSELDAHMRTHTGEKPFQCEECPKKFRRKNYLTSHTQRKHTDITARHFKCLTCLKFFGYKTEFDAHMRTHTGEKPFQCVECPKKFRLKDYLTSHTQRTHADVATRKFKCLTCLKFFVYKTELDAHMRTHTGEKPLQCELCPKKYRFKASFDNHMKCHTGGKSFQCELCTKKYRFKTSLNAHMYSKHADKQTSTAKFSCEICSKVFELKCKLDEHIRIHTGDKPYECKECPTKYRLKCLLTKHIRNVHLSVREKFKCAKCSKLFTRKKSVERHMRIHTGEKLFECEVCSTKFRYKVTLVNHICWKAILTKQP

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
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90% Identity
-
80% Identity
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