Basic Information

Insect
Leuctra nigra
Gene Symbol
-
Assembly
GCA_934046545.1
Location
CAKOHC010001771.1:70598-86832[+]

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 9 1.5e-06 0.00011 23.6 3.5 1 23 125 147 125 147 0.99
2 9 0.038 2.7 9.8 3.4 2 23 156 178 155 178 0.95
3 9 0.0014 0.097 14.3 1.5 1 21 203 223 203 224 0.94
4 9 0.0059 0.42 12.3 1.7 1 21 333 353 333 354 0.95
5 9 0.00029 0.021 16.4 2.5 1 21 399 419 399 420 0.97
6 9 0.16 12 7.8 3.0 1 23 428 451 428 451 0.93
7 9 0.00015 0.011 17.4 0.8 1 20 484 503 484 505 0.95
8 9 4.4e-05 0.0032 19.0 0.2 1 21 513 533 513 533 0.97
9 9 0.00081 0.058 15.0 1.9 1 23 542 565 542 565 0.98

Sequence Information

Coding Sequence
ATGTGTTCTAATGAAACTGTGGCGGATCAGCGCCAACCCTTCCCCCACGCAGCAGACAGTTTCCCGCCTGTCCTTGAACCATGCAGGCAAGCCAACATCCCCGCCTGCAAACCATCCACTGGAACCTGCGCAGGAGAGGGACGACCAGGAGGGGTTGGCGCCGGCCACGAGATAGCAGTTCAACAACCGACTGGCGCTCAGTCCGATAATGACGACGATGAAATGGAGGGGAATAGAATGGAAGATTCGTTTCCGGACGCAAGCTTTGAGGAGCTTCTCACCACCGTCAAAGCAGAAGCCGAAGACAACAgctcaaatttaattattaatatgaaTGGTGTTGATGGCGAGGCTCCGGAACTGGGGGAGCGCTACCCGTGCCCGCAGTGCAACCGGACGTACAAGAACAAGTCCCACGTGTACCGCCACATCCGCACCCACAGCGACATCCTGTCGCCTCCGCTTCATTGCTCTCTCTGTTCGTTCTTCACCAAGCAGAAGGCGACCCTGCAAAGACACATCGAACGACGACATGGTCCGAACGCCAAGCCGAAGGAGGAGTTCCAACGAGTTGTCGTGATTCCGACGGAAGGTCCGCCGCTGCCATATCAATGTGGCCGCTGCAACAAGAGCTACTCGCACCGCTTCGCTCTTGATCGTCACACCTCCATGGAGTGTCCCAAGGCCGGCGACGCATCGCTCTCGGGCAGTAACACCAACCTGGCACAGACGGGCAATGATCTGGAGCAAGAGAAAGAAGTGCAGGAAATGGAAGTGCCGTCTGAATCGATGCAACCTCAACCCATCGTTTGTGAACCCGAGATGGCGACTCAAGATCCGCCTTCGGAGCCAGATCAGCCGCCGTCAATCGTTAAGGATCAGGAGATGGAAGTGCAGAACGACAAGGAGGCGTCCGAGGATGGAATGGTTGTGCCTGCGGATCCAGTGTCTGTGCCCATTAACGTGATGGCCAGTCCGGATGACAAGACGAGACCATTTCGTTGCGTGTTGTGTGGAAAGTGCTACAAGAAGTTTCCCGCCTTGCTTCGACACACTAAAGACGGCTGCGGCAAAGAAGACCGGCTCAGCTGCGAGCACTGCCATTTCCAAACAAACGCAAAGAGGAACTTCCCGAAACACTTTGAACGCAAACATGCCGCGTTGCTCGGACTTCCCGAAGCTGAGGAGACCCGCTTCCAGTGTCCGACATGTCCTCGTAGCTACAAGCACCAGTGCGGCCTGCTGCAGCACATCCGCTACGATTGCGGACAATCGCCGCAGTTCAAGTGTCCCCAGTGTCCGTACCAGGCCAAGCGGAAGCATCACATCGCCAGCCACGTTACAAACAACCATCCAAAGGACGAGCGAACGACCGACTACCGAGCGATGGCCTTCATCCCAGCCGACTGTCTTCCTTCCAACATCATGGACGACCCGACGATGCGCCGATTCCAGTGCTCCGTGTGCCTCAAATCATTTAAATACCGTGCCGATCTCACCCGTCACAAGGAACAACGTTGCGGCAAGAACCTTCGCTTTAACTGTCCCAACTGTCCAAAGAACTACAGCCGACAAGACGCTCTCGATCGACATATTCGATGTGAATGTAACAAAGAGCCTCAGTTTAAGTGTGAAATGTGTTCGTATCGAGCATCAAGAAAGTTTAGCCTCCAGAATCATGTGAGAATCAAACATTCCCAATAA
Protein Sequence
MCSNETVADQRQPFPHAADSFPPVLEPCRQANIPACKPSTGTCAGEGRPGGVGAGHEIAVQQPTGAQSDNDDDEMEGNRMEDSFPDASFEELLTTVKAEAEDNSSNLIINMNGVDGEAPELGERYPCPQCNRTYKNKSHVYRHIRTHSDILSPPLHCSLCSFFTKQKATLQRHIERRHGPNAKPKEEFQRVVVIPTEGPPLPYQCGRCNKSYSHRFALDRHTSMECPKAGDASLSGSNTNLAQTGNDLEQEKEVQEMEVPSESMQPQPIVCEPEMATQDPPSEPDQPPSIVKDQEMEVQNDKEASEDGMVVPADPVSVPINVMASPDDKTRPFRCVLCGKCYKKFPALLRHTKDGCGKEDRLSCEHCHFQTNAKRNFPKHFERKHAALLGLPEAEETRFQCPTCPRSYKHQCGLLQHIRYDCGQSPQFKCPQCPYQAKRKHHIASHVTNNHPKDERTTDYRAMAFIPADCLPSNIMDDPTMRRFQCSVCLKSFKYRADLTRHKEQRCGKNLRFNCPNCPKNYSRQDALDRHIRCECNKEPQFKCEMCSYRASRKFSLQNHVRIKHSQ

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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