Basic Information

Gene Symbol
topi
Assembly
GCA_030463065.1
Location
CM059996.1:38490666-38492460[+]

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 12 0.041 2.3 9.0 1.7 2 21 54 72 53 73 0.93
2 12 0.0062 0.34 11.6 2.7 1 23 133 156 133 156 0.93
3 12 0.019 1.1 10.0 1.0 2 23 181 203 180 203 0.97
4 12 0.065 3.6 8.4 0.1 2 23 233 254 232 254 0.96
5 12 6.3 3.5e+02 2.1 0.3 1 21 260 280 260 281 0.87
6 12 0.004 0.22 12.2 0.2 1 21 300 320 300 324 0.90
7 12 3.8 2.1e+02 2.8 3.4 1 11 338 348 338 362 0.73
8 12 7.2e-06 0.0004 20.8 2.0 1 23 380 402 380 402 0.95
9 12 0.00099 0.055 14.1 1.9 1 23 408 433 408 433 0.97
10 12 0.048 2.7 8.8 2.9 1 23 439 461 439 461 0.86
11 12 0.00054 0.03 14.9 2.4 3 23 469 489 467 489 0.97
12 12 0.0032 0.18 12.5 3.4 1 23 495 518 495 519 0.95

Sequence Information

Coding Sequence
ATGGATCAAAAACCAGTTAAAGCGGAAGTTTATACTTGGATTACTGATGATTTTGCAGAATATTGGAAGTTGATTGGCCTGTCGTTGAGTGGATCGCCCAATGAGAAAATGGTGCACATTTCAAACGATGACAGAGCCGATGTTTTTGAAATCATGagcaaatgtgaaaattgtagtcgaacattttcggtCTCACAATTTGAGAAGCATATTTGCGAGTTCAGCGATTCAAACACTCTTATTTATGATGATGAAAAGATGAACATTTTATGGGAAAACAGTTCATTGCGTAAAATGTATGCTGAGAACAATGCACAAATCGAGCAAATTCTAAGTGAATTTGGTGATGCCAGCGTTCGGCCAAAAGGAGCAAAGAAGCCGGTGATCCATGGCAACCACGAATGCATCGTTTGTCATCGCATTTATGTTCATGCATCTGGTCTATCACGGCACATGGAAACACAACACAATCCAAACGAATCGATTCGAAAGACAGTCAATGAATCAGatggaaaagaagaagaaattgCCGATGTGGTCAAATGTTTGGTTTGTGGCCGAATTTTCAATGTGCTATCATCATGTTTCGCTCACTTGAAGACAATGCACACGGAATATGGTTTCGATGAAAGTGAAAGCAGCCTCAAAGCAGGCGATTCATTGTTGTTCGCTAAGCTCAAAGTCAATCAGGCAATTCAGTGTGAATTCTGTGATCTTTTGTTCGCTGAAATATCGGATTTGTTTCAACATAAAATGGAACATGACATCGGCACCGGATACGAATGCAATTCGTGTCAATTGGCCAGCCGCAATTTGAAGTTCATCTTGAACCATCGAAATAATGAATGTCCTTACGAAATGTATGAGAAGAAATCGGCCATCAATTGCAAATTGAGATTCGTTTGCAGTGAATGTGATGAAGCATTTGACTCATTGGCACTGCTTTATGAACATCGACATTTGAAGAAACACCTTCCAACACTTTTCAATCGGTCGACCGGACAACATGAATTCTTTTGCGAGAAATGTGGCCAAACATTTGGATTAGACGCAAATGAACTTAACAAGCATACCGAAAATACTCACACGAAAAGGGGAAAAGCACAGTCTCTGGCAGTGGCCGCCGTGACAAGACCGTATTTATGCGAAGTGTGTGGAAAAGGCTACACTCAATCCAGCCATCTATATCAGCATCTTCGCTTTCATAAAGGCATCAAACCGTTTGAGTGCACCAAAGATGGCTGCAATCGAAAATTCACCATCCGTCCAGATTTGAATGACCACATCCGCAAGTGCCACACTGGCGAACGGCCATACAAATGTTCTGATTGCCACAAGACATTTTTGACGGGATCTGTTTATTATCAGCATCGGTTAATTCATCGTAACGAACGTCGATATGGATGTCGCACCTGTGAAAAACGTTTTCATCGATCGGatgcattgaaaaatcatgaacgTATCCACAGTGGCGAAAAACCGTACGCTTGTGGTGTTTGCACGAAAACATTCCGGCAAAAAGGCGATCGAGACAAGCATTTTCGGTCACGGCATCACAATGGGTACGATTTAATGATGAGAGCTTAA
Protein Sequence
MDQKPVKAEVYTWITDDFAEYWKLIGLSLSGSPNEKMVHISNDDRADVFEIMSKCENCSRTFSVSQFEKHICEFSDSNTLIYDDEKMNILWENSSLRKMYAENNAQIEQILSEFGDASVRPKGAKKPVIHGNHECIVCHRIYVHASGLSRHMETQHNPNESIRKTVNESDGKEEEIADVVKCLVCGRIFNVLSSCFAHLKTMHTEYGFDESESSLKAGDSLLFAKLKVNQAIQCEFCDLLFAEISDLFQHKMEHDIGTGYECNSCQLASRNLKFILNHRNNECPYEMYEKKSAINCKLRFVCSECDEAFDSLALLYEHRHLKKHLPTLFNRSTGQHEFFCEKCGQTFGLDANELNKHTENTHTKRGKAQSLAVAAVTRPYLCEVCGKGYTQSSHLYQHLRFHKGIKPFECTKDGCNRKFTIRPDLNDHIRKCHTGERPYKCSDCHKTFLTGSVYYQHRLIHRNERRYGCRTCEKRFHRSDALKNHERIHSGEKPYACGVCTKTFRQKGDRDKHFRSRHHNGYDLMMRA

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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