Basic Information

Gene Symbol
-
Assembly
GCA_015832385.1
Location
JACTOM010000178.1:135708-145950[-]

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 11 0.032 2.6 9.3 0.8 1 23 213 236 213 236 0.97
2 11 1 85 4.6 0.7 3 23 245 265 243 265 0.96
3 11 0.0016 0.13 13.5 0.3 1 23 269 292 269 292 0.92
4 11 1.9 1.6e+02 3.7 5.1 1 23 299 321 299 321 0.97
5 11 1.5e-05 0.0012 19.8 0.1 3 23 328 349 327 349 0.97
6 11 6.3e-05 0.0051 17.9 0.5 1 23 356 379 356 379 0.94
7 11 0.00094 0.076 14.2 1.9 3 22 387 406 386 410 0.92
8 11 0.012 1 10.7 0.1 1 23 418 441 418 441 0.93
9 11 0.00013 0.01 16.9 5.1 1 23 447 470 447 470 0.92
10 11 6.1e-05 0.0049 17.9 1.5 3 23 481 501 480 501 0.98
11 11 0.0056 0.45 11.7 2.0 2 23 508 530 507 530 0.93

Sequence Information

Coding Sequence
ATGGAGTTAGGTTTTCCAAGTTATAGTTGTAGTAGAGACAAAAACAGTTTGGACGAATTTTGCATATCGTGTCTTCGAAGCAAtgtgtcatttattaatttgtctacTTGTAAACACGCGAAACTACTTGATTGCTTGTTGGAAATCAAAATGTTACAACTGCAAGACTATGTTATATGTTTATTGTGTCACAAAACACTCGCTAATGTTGAAAAGTTCAGGTTACAAGTGACTGAAAACATTTATGTAATCAACAGTGggATAAAACAGACTCTACCCAAAAAGCTGCCTAATTATCTTAATCTTGTCTGTTCAAACATCGAATTGCAATCGACCATAGACAACCAACCAATAATACACGAGACAATAGATCGTACAACCAATAGGGAAACCTTATTTGAAATTGGAACGGAAGTGAAGATAGAAGAAGATTGCTCCGATTTCGAAAATGACATGCCATTGGTTCATATTAGTAAGAAGAAAAAGAAGGTAGAGTCGGAAAAACCTAAAAAAGTAAGAGGGAAGAAAGTTATTGCTAGATACGACGGCAAAGTAAAGATAGTCACTTTAACACACGATGAAATGTTGGAGGGAAGAAGAAATGATGCCTTGAAGGAGGGCTATTTAAATTTGCCATATAAATGCGAGACTTGCATCACAGCTTTTGACCACGAGTTAAATTTGGTCGACCACATGGAGAAAAGGCATAAAAAGGATGTGGGTGGTATTATTTGCAAAATATGCGAATCAGTACTCGGCACTAAGCTGTCATATGAAGAACATCACAAGCGACACTATAGAAGGTACGAATGCTCAGAATGTGGAAAGAGATACAATAATGTGTACTCAGTAGTACAACACTTCAACGAGGTACATGGTAGAATTGAGATGAGTTTCTCTTGTCAAAAATGTGACTTCATTACAGAGTCACATCGAAGTTATCGTTACCATCGGGACAAACATCGCACAGCTAAAGTGGCATGCGGTCAATGTGGGAACACCTTTGTTAATAAATCGGGACTTCGAGTTCATATGTTAACAGTCCACAAGCAGTCCAATCGCGTATATTCGTGTGAGCCTTGTGGCAAAGTGTATAGGACCAAGTCAGGTCTTAGTGCTCATATGGCGCATACACACGCTGACATGGCCCCAGCTTACTGTGTTCAGTGTGATATGAGCTTCAGATCCCAATGGGGCCTTAGGCACCATCTCAAAACCACCTCCAAGCATATCTCTGATGAAGACAAAAGGTTTGTATGCAACGAGTGTGACGCCAAGTTTCTTAAGAAAACGCTCCTTCAGGAGCACATAGACTGGATTCATCTAAACCGCGTCATACACACATGTCCCAATTGTTCTAAGAAATTCAAGAGTAGACGAAGCTTGAAGCGGCACACTTCGTTCGTACACGAAAAGAAAAGACCTCCAAGGAATAAAATTTGTGACCACTGTGGAAGGGGCTTCACTtCGTCAACAATCCTGCGTTCTCATATACGTACTCACACAGGAGAGAGACCACTACAGTGTACCCACTGCTCGGCCACTTTTGCACATTCAGCCGCTCTTTATAACCATAACAAActtttacataataagcaaaatgaataa
Protein Sequence
MELGFPSYSCSRDKNSLDEFCISCLRSNVSFINLSTCKHAKLLDCLLEIKMLQLQDYVICLLCHKTLANVEKFRLQVTENIYVINSGIKQTLPKKLPNYLNLVCSNIELQSTIDNQPIIHETIDRTTNRETLFEIGTEVKIEEDCSDFENDMPLVHISKKKKKVESEKPKKVRGKKVIARYDGKVKIVTLTHDEMLEGRRNDALKEGYLNLPYKCETCITAFDHELNLVDHMEKRHKKDVGGIICKICESVLGTKLSYEEHHKRHYRRYECSECGKRYNNVYSVVQHFNEVHGRIEMSFSCQKCDFITESHRSYRYHRDKHRTAKVACGQCGNTFVNKSGLRVHMLTVHKQSNRVYSCEPCGKVYRTKSGLSAHMAHTHADMAPAYCVQCDMSFRSQWGLRHHLKTTSKHISDEDKRFVCNECDAKFLKKTLLQEHIDWIHLNRVIHTCPNCSKKFKSRRSLKRHTSFVHEKKRPPRNKICDHCGRGFTSSTILRSHIRTHTGERPLQCTHCSATFAHSAALYNHNKLLHNKQNE*

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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