Basic Information

Gene Symbol
-
Assembly
GCA_947086415.1
Location
OX352310.1:23672453-23686543[-]

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 10 9.7e-05 0.011 17.6 1.7 1 23 230 253 230 253 0.93
2 10 2.9 3.2e+02 3.5 0.7 1 23 267 290 267 290 0.93
3 10 0.0017 0.19 13.7 0.8 1 23 295 317 295 317 0.98
4 10 0.024 2.6 10.1 6.4 1 23 323 345 323 345 0.97
5 10 0.00027 0.031 16.2 3.9 1 23 351 373 351 373 0.99
6 10 0.0013 0.14 14.1 6.5 1 23 379 401 379 401 0.99
7 10 0.00011 0.012 17.4 4.3 1 23 407 429 407 429 0.99
8 10 0.00069 0.077 14.9 11.2 1 23 435 457 435 457 0.99
9 10 0.00011 0.013 17.4 5.9 1 23 463 485 463 485 0.98
10 10 4.1 4.6e+02 3.0 1.2 1 8 491 498 491 502 0.90

Sequence Information

Coding Sequence
ATGAATTCGTGTCGTTGCTGCCTGCGGTGTCCTCCAGACAAGGACCTGACGACGCCATACACACATCTCGGCGTAACGGAAATATATGCCGACATGCTCCAACAATGCTTCGACATAGAGCTGGTACTGGGCGACGACGGCTCGTGTGGCATCTGCTTGTCGTGCGTGGCCCGCCTGCGAGACGCAAGAGACTTCAAGCTGCAAGTGCATTGCAGCCAGGCGGAGCTGCAGAGAGTGAGGTCGGTCAAAGAGCAAGATCCAACAGTGGAGCCGGACATGCAGGACGGAGACGGAACCAACAATGAGCTTGAGTTGAATGAGGAACCACTGGTCAAGTCAGAGATGATATATGCAGATGGGTCCCCTGATGAGACATTGCAAGAAATGCCCGGGCCAGAAATGGAGGATGGAGACAAGACAAGTGAAGACAATGAGCGCATGTCGCATGGAGAGCTCCTAATCAAGCCGGATATTAATGACACGAACGAAGATGAGACGAGTGATGATATGCTGCTGGAGGTGCGGGTAGTCAAAGCGGAGGTGTCCGGCACGACGAGAGACGAGGACTGCGTGTCGGTGAGCTCGGAAAGCTGCGCCGCCCGCGCCAGGGAACAGCTCGCGATGGCTTGTTCCGTGGTGCTCGAGCGCCTCCGCGACGATGCGACTGTTCTCAGTCGAGACGAACCATATAGCTGCGAACACTGCGGCAAAGGATTCACAAACAAATTTATTTTAAGGAAACACATAATCGACACACACTCATCGATCGGACCTCAATTTGATTCAAGACTTGGTACATTTACTTGTGATTTTTGTAGTTCTATTTTCCAAACTAAATTGCTTGTATTCGAGCACGAGAAAATCGAACATGGTGTTACAAAATTCATGTGTGCTGAATGTGAGTATTCAACAGATTACAAAAAAAGTTTAGAGTCTCATTTAAAGAGTCACACAGCAAATATTATTTTTAGTTGTCGTTACTGCAGTTACACATGTCCAGATAAAGAAtatttacacaaacatcaagtgaaacatactagagaacagtcattcaagtgtggcaattgcgactacaaatgcactgcgaaatcaaagctattacgccaccaaaggatacacaccggagagaagccgtacaaatgtagtcattgcgaattcaggtgcagtgtgaaaacaagtctattacgtcaccaaaggatacacaccggagagaagccgtacaaatgtagccattgcgactacaggagcaaggataaatcaaccttacggggacacgaaaggacacacgccggagagaagccgtacaaatgtagtcattgcgactacaggtgcagtcatagaccacacttacagagacacgaaagaacacacactagagagaagccgtacaaatgtagccattgcgactacaggtgcagtgataagtcaaacttacggggacacgaaatgagacatgccggagataagccgtacaaatgtagccattgcgactacagAGAGACCTTTATGTATGAGCATGATGTGGCTGTAGTTGTGCAAGCCCCTAAATATGACGAGCTCGAGCTTAAGCTTAATGCGACCGCCCTGGCTCTGTCCAATTGGTTCGGTGGTAATGGCCCTATCTTGAACCCCAGTAAAACGCATTGCATCGGCTTTGATCTCTCCGGCCGGTAG
Protein Sequence
MNSCRCCLRCPPDKDLTTPYTHLGVTEIYADMLQQCFDIELVLGDDGSCGICLSCVARLRDARDFKLQVHCSQAELQRVRSVKEQDPTVEPDMQDGDGTNNELELNEEPLVKSEMIYADGSPDETLQEMPGPEMEDGDKTSEDNERMSHGELLIKPDINDTNEDETSDDMLLEVRVVKAEVSGTTRDEDCVSVSSESCAARAREQLAMACSVVLERLRDDATVLSRDEPYSCEHCGKGFTNKFILRKHIIDTHSSIGPQFDSRLGTFTCDFCSSIFQTKLLVFEHEKIEHGVTKFMCAECEYSTDYKKSLESHLKSHTANIIFSCRYCSYTCPDKEYLHKHQVKHTREQSFKCGNCDYKCTAKSKLLRHQRIHTGEKPYKCSHCEFRCSVKTSLLRHQRIHTGEKPYKCSHCDYRSKDKSTLRGHERTHAGEKPYKCSHCDYRCSHRPHLQRHERTHTREKPYKCSHCDYRCSDKSNLRGHEMRHAGDKPYKCSHCDYRETFMYEHDVAVVVQAPKYDELELKLNATALALSNWFGGNGPILNPSKTHCIGFDLSGR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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