Basic Information

Gene Symbol
ZEB2
Assembly
GCA_018342105.1
Location
JAFIRS010000135.1:386826-400721[+]

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 0.0059 0.67 11.6 0.4 1 23 142 164 142 164 0.98
2 11 1.4e-06 0.00016 23.0 1.1 1 23 207 229 207 229 0.99
3 11 1.2e-06 0.00014 23.2 1.1 1 23 235 257 235 257 0.98
4 11 2.2e-06 0.00025 22.3 0.7 1 23 263 286 263 286 0.96
5 11 0.027 3.2 9.5 1.8 2 23 314 334 313 334 0.97
6 11 6.7e-06 0.00077 20.8 4.7 1 23 341 363 341 363 0.99
7 11 0.16 19 7.0 2.8 1 12 369 380 369 396 0.78
8 11 0.067 7.7 8.2 6.3 3 23 407 427 406 427 0.96
9 11 2.3e-06 0.00026 22.3 0.3 1 23 434 456 434 456 0.96
10 11 1.7e-05 0.0019 19.6 0.7 1 23 462 485 462 485 0.95
11 11 2.2e-05 0.0025 19.2 6.2 1 23 491 514 491 514 0.96

Sequence Information

Coding Sequence
ATGGAATACGATAATTGGGGGGAAATATTTTGCAGAGATGGGGTACCTATTGAAAATTTTGGAACGATTTGCCGGGTCTGTTTGCAATCCAATAATTTATTATCCTTCATTCCTCAAGAGGTAGcaaatatattcgaaaaaataacCAATATCCAGGTAAAGATGAATGGAGAACTCCCTGAAAATATATGCCAAGACTGCATTAAACAGCTCAAAGATATCAATCAGTTCatagaaaaatgtaaaaataatcaTTGTATTCTCATGCAAAAACTAGAAATGAAAGGACAAATTGAACAAGTCAGCGATGAACATTTCGATAATGAAACGATTTCCGAACAAGGTGTGTTGAAGCTTGAAAACGATACAAGTCAGCACTCCGATGCTGAAGCGATGGAACCAGATGAACTAAAAAGAAGACGCTTTGAATGTGCCAAATGTAATGCCAATTTCTCTCTGAAGCTCTCATTGGTAAACCACTTGGAAAAACATGCTGAGAAAAGTTTCAGAAGTCATAAAAAAATCACCACTATCTCAAGATACAAACTTAATGGAAAAAGGAAAGGTGTTTTGAgatcaaaattggaaaacaatttGTTAGTGGAACCAAAATCGAAATACTACTGTTCTCAGTGTGATAGAGTTCTCACTTCACGTTCAGCTCTCACCAGTCATATGAAAACCCATACTGGAGAAAGACCTTATTCTTGTTTATACTGTGGAAAATCCTTTTCTTACATCAGTAGCCTTACTGTACACACACGATTGCATACAGGAGAAACTCCATATGTATGCCCAATCTGCAATAAGGGCTACCGAAGTTCCACAAGTTTGAAAAAACACAGGGAAGTCAAACACTTCGAAATTGATGCAAGCTTGAACCATGGTACCGAAATAACCcaagagaaaatggaaaaagtgaaTGAGTCCAGTAAGCAAGAATGCAAAATATGTCATAAAATACTCAACAAATATGGATTTGGCACCCATATGAGAATACACACTGTGGGAAAGAAAGAGTTCAAGTGTACCTTTTGTGATAAACAGTTTCAGAAAAATTCCCATTTGGAAAGGCATGTTAGAATACACACTGGTGAACGACCCTACGAATGTAAACTATGCAACAAAACTTTTGTACAAGGCGGACTTGAACGACCGCGGGCATTAGCTACTCATATGAGCATCCATGAAGATGCGAAAAATCCTTCTAATCCTCATTGCAGTGTCTGTAAGAAGACTGTTGATCATTGTGATGACTACAAGACGCACATGAATGCCCATGCGGAATGTAAAAGGAAATATTTATGTACGGTGTGTGGAAAATCATTCACGGCTAGCGGAAGTCTCAAGGTTCATACCAGAATTCATACAGGCGAAACACCTTTCATGTGTTTATCCTGTAACAAAGCCTTCAACAACTCGAGTGCCTTGAAGAGACACGTTATTAGGAACCATACCGAAGATAAAACTCATATTTGCATGGTATGTCACAAAAGTTTTCACGATTCTTCGAATTTGAAACGACATGTGAGAAGGGTGCATTCCGTTGTTGAGATGAAGTCGAATAGGGAAGTTCCTCTTTTACCAAATAAGTGA
Protein Sequence
MEYDNWGEIFCRDGVPIENFGTICRVCLQSNNLLSFIPQEVANIFEKITNIQVKMNGELPENICQDCIKQLKDINQFIEKCKNNHCILMQKLEMKGQIEQVSDEHFDNETISEQGVLKLENDTSQHSDAEAMEPDELKRRRFECAKCNANFSLKLSLVNHLEKHAEKSFRSHKKITTISRYKLNGKRKGVLRSKLENNLLVEPKSKYYCSQCDRVLTSRSALTSHMKTHTGERPYSCLYCGKSFSYISSLTVHTRLHTGETPYVCPICNKGYRSSTSLKKHREVKHFEIDASLNHGTEITQEKMEKVNESSKQECKICHKILNKYGFGTHMRIHTVGKKEFKCTFCDKQFQKNSHLERHVRIHTGERPYECKLCNKTFVQGGLERPRALATHMSIHEDAKNPSNPHCSVCKKTVDHCDDYKTHMNAHAECKRKYLCTVCGKSFTASGSLKVHTRIHTGETPFMCLSCNKAFNNSSALKRHVIRNHTEDKTHICMVCHKSFHDSSNLKRHVRRVHSVVEMKSNREVPLLPNK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
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90% Identity
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80% Identity
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