Basic Information

Gene Symbol
-
Assembly
GCA_932527285.1
Location
CAKOBM010000033.1:1645559-1653476[-]

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 0.48 29 5.7 1.9 1 23 212 235 212 235 0.96
2 11 0.055 3.3 8.6 3.8 1 20 242 261 242 264 0.93
3 11 0.45 26 5.8 0.3 1 19 268 286 268 291 0.91
4 11 0.014 0.8 10.5 2.6 1 23 296 319 296 319 0.95
5 11 1.4e-06 8.1e-05 23.1 0.8 2 23 324 346 323 346 0.96
6 11 8.1 4.8e+02 1.8 0.5 3 23 354 371 353 371 0.66
7 11 0.01 0.62 10.9 0.4 3 21 380 398 379 403 0.93
8 11 0.0017 0.1 13.4 0.9 1 23 412 435 412 435 0.95
9 11 0.0043 0.26 12.1 5.2 1 23 441 464 441 464 0.95
10 11 5.4e-06 0.00032 21.2 1.2 3 23 475 495 474 495 0.98
11 11 4.4e-06 0.00026 21.5 0.4 1 23 501 524 501 524 0.96

Sequence Information

Coding Sequence
ATGTGCGAGTTGAAAATAATTGGTAGGTTTTCGAAGATGCTGTCAAACATAGAATTTGTATGCTGGGAATGTGCCGCTATGTTTAGTAAAGTATACAAATTCAGGCAGCAAGTAATAAAGGCCCAGGAATGCTTGAAAAATAATTATCAGATTTCCTATATAACATCCCTCTCACATCTAACAAACTCATTTCTAAAACTACATGACATATGCTGTGACCCAAACATAGAATCAGACACATCAAATAACACAAACACAATTAAAACAGATCCAGTGCAAACCATCAAATTAGAGAACATAGAGAATATACTATTAAATAAAATAGATATGAACAACGAATTCGAAGATGAAAAAATCAACAACGATATCGATATAACTAGAATAAAAAACGAAGACGAATTTGACAATGACAGCTCTACAGATATATGCCTATCAACATTAACTGTCAAACCGAGAAAAAAAACTGATTTTAAAAAAGAATCTAGATCGGAAAATGCAAGACATACAAGAAAAAATGTTAACAAATTGTCCGTAACAAAAGATAATTATATTGTTGTAGAAATGACAGAAGAAGAAGTGTTAGCTAAACGAGAAGCAGACAGACAGACAGACAGATATAAGAACAAGGTTAAATATAGATGTGAGTTGTGTATCAGTGGATTTTTTCATATTGAACTATACAATAAACATATGCGGATACGACATTCCGAGAAATTAGGTAAACATCAATGCAACATATGCCAAACACGCTTCAGCAACGTCAATACATACAGAGAACATGTAGAATGCCATTACAGGAAGTTTCAGTGTAAAGAGTGCTCTTATGTGGGCTACACCCTCTCTTCTATGGTGTCCCATGACGCGAGAGAACATGGGATGAAAAGATTTTCCTGTAAACTATGTCAAGAGAAATTTTCACTGCGGTCGCAGCTTCGATTCCATCGCGAGACAATGCATGAGGAGCCAGTCAAATGCGAATCTTGCGGTAAAATGTTTCGCACTAAAGATAGCCTCAGAGTTCATATCAAacaaatgcatagttacattcCGAAACCAGCTTGTACAGTTTGCGGCGCTCGCGTTCGCAACATGAAGAGTCACTCGCGAACGCACGAGGCCGCACCAGAGGCCGCGTACTGTGCGGAATGCGACCAGAGATTTACCAGCATCGCCTCTTACAGATCACATCTTAAATATTCAGCGCGACATCGCGGTCCGGACGTTGCATTAAGCCACATCTGCAATGCGTGCGACGCACGTTTTGCAACTCGAGCGGGACTTAAGAAACATACATTGAGAAGACATACCAACGTTAGAAAACATAAATGTGAACGATGTGGCAAGGGTTTCGAAGAGCAGTGTAAATTAAAACAACACATTTTACACGCACACGAAGGAGTTGAGAAACCCAAGGACAAAATATGTCACATATGTGGACGGGGCTTTACTACTAAACTGACTTTAAGTAATCATATTCGAGTCCACACGGGTGAGAGACCGTTCCGTTGCGACATTTGTTCCGCCGCATTCAGTCAGAAGAGTTCATTGACCACCCACACGCGAGGGGTGCATCTCAAACTGAAGCCTAGACCCGGTCTGGGGCATAGAACTCGGGTTTAG
Protein Sequence
MCELKIIGRFSKMLSNIEFVCWECAAMFSKVYKFRQQVIKAQECLKNNYQISYITSLSHLTNSFLKLHDICCDPNIESDTSNNTNTIKTDPVQTIKLENIENILLNKIDMNNEFEDEKINNDIDITRIKNEDEFDNDSSTDICLSTLTVKPRKKTDFKKESRSENARHTRKNVNKLSVTKDNYIVVEMTEEEVLAKREADRQTDRYKNKVKYRCELCISGFFHIELYNKHMRIRHSEKLGKHQCNICQTRFSNVNTYREHVECHYRKFQCKECSYVGYTLSSMVSHDAREHGMKRFSCKLCQEKFSLRSQLRFHRETMHEEPVKCESCGKMFRTKDSLRVHIKQMHSYIPKPACTVCGARVRNMKSHSRTHEAAPEAAYCAECDQRFTSIASYRSHLKYSARHRGPDVALSHICNACDARFATRAGLKKHTLRRHTNVRKHKCERCGKGFEEQCKLKQHILHAHEGVEKPKDKICHICGRGFTTKLTLSNHIRVHTGERPFRCDICSAAFSQKSSLTTHTRGVHLKLKPRPGLGHRTRV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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