Basic Information

Gene Symbol
prdm10
Assembly
GCA_029229535.1
Location
CM055256.1:39308048-39315890[-]

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 13 0.00035 0.032 15.2 0.5 2 23 437 458 436 458 0.96
2 13 2.3 2.1e+02 3.1 0.5 2 12 484 494 483 508 0.77
3 13 0.0025 0.23 12.5 2.8 1 23 525 547 525 547 0.96
4 13 0.00017 0.016 16.1 2.2 1 23 558 580 558 580 0.96
5 13 0.00049 0.044 14.7 0.6 1 23 591 613 591 613 0.98
6 13 0.1 9.4 7.4 4.4 2 23 622 643 621 643 0.97
7 13 0.019 1.7 9.7 0.6 1 20 650 669 650 672 0.91
8 13 0.0019 0.17 12.9 3.2 1 23 678 701 678 701 0.96
9 13 0.0001 0.0092 16.9 2.0 1 23 706 728 706 728 0.97
10 13 0.0031 0.28 12.2 4.1 1 23 734 757 734 757 0.88
11 13 0.04 3.6 8.7 1.7 1 23 791 814 791 814 0.97
12 13 0.00022 0.02 15.8 2.2 1 23 836 859 836 859 0.97
13 13 0.0017 0.15 13.0 3.8 3 23 899 920 897 920 0.96

Sequence Information

Coding Sequence
ATGGACACTATTATTGAAGGGCCCCAAGATGAAAAGGGTCATCTACAAGACATTAGTATTATTGATACTACTGGCTGGACTTCGCAAGCAGAACAAATTGTCAACAATTCAACACTTCTATATATAGCagTTGAATATGTTAAAGATTACAAAGTTGTCAATCCAAATACACCAGTAACTTCTCAAAATGAAGTTTATTCAGAGTTTGATTCTCATGTGAGCCCTCTTGATCCTAACATGGGTTCTGTAGCTAATTACAGCCCTGTTTATAATGATTCCCCAGCGGAGTATAACCCAGTAGTAATTCACCAACTTGTAACTCAAGATGGTACTGTACAAAACGAACAGTTCATTAGTAGCTTGAATACTTCTTCAATTGACACCATACCTACAGTTTTATGTAATAATGACGTTAGAGGAGTCAGTAGCGATTATCTACAAATGGTTAATTCAAATGAAACTAATATCGTAACTACTTCTAATAGCGAAACATTGGAACAAAAGGTAGAACTTTTAATAACGGACGAAACAACAGGAATATCTTATAGCGTCGATGCACAAGAATTATTGGTGGAGCCTTGTCTACAAGACGAACATCAACTTTTAGAATCCTTGGCGCCAGATCCGATATTAGAATCAGATCTCCTGACGCTCGACGATAGAACATTGAAATCAGAATTAAATGATAATTTGGATGTATGCCCCAATGATATTGCAACAGTTAATACCGAAGCtgtgaataattatattaataatttatctgAAGCAAATGAATCTCCTAGacttaattcatataaaatggTAACTAGACCAAAGAGAAATGGTGTTGACTCTGAAGATAACATACtatcTTGTGTTTATAGTATCATAGACAAACCTATTTTGACAAGAGCCAGAGCATCTCTTCCTGAATCATATTTAGTTCTAGGCAAGGCAACCGAagaagaTGCAGTTTTTGCGAAAAAAGTTATTGCAAAAAGAACACAGTTCGGTCCTCTTGAAGGCGTTCTTGTACCAGCTGATATATCTAAATTAGAAGAAgataaattggtattttttatagaaattgatGGAGGGCTTTATAAGATAGATACAAATGATGAAaATACTTCGAATTGGATGATGTTTGTAAGGCAGGCGACGACTTTTGaagaacaaaatttaattataacacaagaaaataattgtatttatttcaccTCAACTACTACAATTATGCCAAAGCAAGAATTAAAGGTTTGGTACAGTAGCCTGTACGCGCAATATTATGATCTACCTACATTCCAACCTATAAAGGAGCTTTCTTGGCATTGTTACGAATGTccaacaaaatttgaaacttccGAAGAATTACAAATCCATCTTGATACACACGATACAGTAAAAGACGAAAATATCAAACctagaaaaaagaaatatttccataaaaagATCCATAATGAGACTGTTGAATGTCAGATTTGTCACGAGATGTTTTTCCAAtacaattacaattttttgaaactcCACATCAATCAAAAACATCAACTACCAAAAGGAACAGTCGAGGAATATTTTACTATAGTAAACAATTTTAAATGTGACAAATGCACTAGTACTTTCAGGTCtgaaagtttattgaaaattcacagTTACAAACATAATCCCGATACATCTGAGGAACAAACGAACCATGTATGTCCggattgtcaaaaaaaatttcctagTCAATGTCAATTAGTGTTGCACGTCATGCAACATGCCGTATTAATCAAACCGCAACCAAAAAAGTACAAGTGTTCAATTTGTTACAGTATATTTTCGAAACCCGAACGATTACagAAACACATGGTTGTTCATGGTTCGGACGATAACAAACCTCTACAATGTAAAACGTGCAATAAAAGATTCTTGACTAATTCGGCTTTATCTTGTCATTTGAAAACTCATTTTATTGGAAAGAAAGCTTTCGAATGTCCGATATGTAAAGAAACGTTCGACCACGTGTTAAAACTAAAACTGCACGTTCCCAGTCATTGTCAAAATAATTCTTTCACATGTCCCcattgcaataaaatttttaaaaagtacagTATTATAAGGAAACACATAAGGGCATTCCATTGCGAAAGGATTCACGAATGTACGAATTGTACCAAAGTTTTTCCCACATTGGATAAATTGAGGATGCATTTGCTTAAACATTCCGATCACAGAGAATTTTTGTGCGCTAATTGCGGAAAACAATTCAAAAGGAAAGACAAATTAAAGGAGCATTGTAAAAGGATTCATTCCGAGGAGAGGGAGAATACTATTCCGCAAGATAAAAATACAAAGCAACTCAAAAAGTGTATGCCAAAAGTTGAACCTACAGATTTTCAcagatttatatataaatgtcATAGTTGTATGGTTGGATTTAAACGAAGAGgAATGCTTGTAAACCACTTAGCTAAGAGACATCCGGACATTAGACCGGAATCGGTTCCAGAGCTTAATTTACCAATTTTGCAAACTACCCGTGATTATTATTGCCAGTATTGCGAGAAAGTTTACAAGAGTAGCTCTAAGAGAAAAGcgcatattttgaaaaatcatccCGGTGCAGCGTTACCTCCGAGCAATAGAAAACAAGGTTCCCTTCAAGAAGTTTCTGGTCTTCCCAATCCCACTTTTTCCCAAACGGTCGGTAGTATCACCACCAGACCTCAAAATTGTAAATGGTGTCACAAGCAGTACGCGAGTAAGGCAAAATTATTACaacatcaaagaaaaaaacatcGTGAACTACTAATCAGTGAGGAAGTTAAAGATATTCCTCAAAATAATAACGGAATTGAATTAATGAACgagaaaattgatcaaaaaagaGACGATAATGATGCCGTTACAGAATTCGATAAAGTTGTAGAAAATATGATTAGCGGTGAGCTGGATTACAATTTGGAAGAAGAAGGAGAGTATTGTCATTTAGCTATCAATGAAAATGAGAGTTTTATTGAAACTAACGAATTGGAAAATCCAAATTCTCACTTATACCGTTTATTGACAACAGCCAACAATGgaaTGTTACCACCTCGTTGA
Protein Sequence
MDTIIEGPQDEKGHLQDISIIDTTGWTSQAEQIVNNSTLLYIAVEYVKDYKVVNPNTPVTSQNEVYSEFDSHVSPLDPNMGSVANYSPVYNDSPAEYNPVVIHQLVTQDGTVQNEQFISSLNTSSIDTIPTVLCNNDVRGVSSDYLQMVNSNETNIVTTSNSETLEQKVELLITDETTGISYSVDAQELLVEPCLQDEHQLLESLAPDPILESDLLTLDDRTLKSELNDNLDVCPNDIATVNTEAVNNYINNLSEANESPRLNSYKMVTRPKRNGVDSEDNILSCVYSIIDKPILTRARASLPESYLVLGKATEEDAVFAKKVIAKRTQFGPLEGVLVPADISKLEEDKLVFFIEIDGGLYKIDTNDENTSNWMMFVRQATTFEEQNLIITQENNCIYFTSTTTIMPKQELKVWYSSLYAQYYDLPTFQPIKELSWHCYECPTKFETSEELQIHLDTHDTVKDENIKPRKKKYFHKKIHNETVECQICHEMFFQYNYNFLKLHINQKHQLPKGTVEEYFTIVNNFKCDKCTSTFRSESLLKIHSYKHNPDTSEEQTNHVCPDCQKKFPSQCQLVLHVMQHAVLIKPQPKKYKCSICYSIFSKPERLQKHMVVHGSDDNKPLQCKTCNKRFLTNSALSCHLKTHFIGKKAFECPICKETFDHVLKLKLHVPSHCQNNSFTCPHCNKIFKKYSIIRKHIRAFHCERIHECTNCTKVFPTLDKLRMHLLKHSDHREFLCANCGKQFKRKDKLKEHCKRIHSEERENTIPQDKNTKQLKKCMPKVEPTDFHRFIYKCHSCMVGFKRRGMLVNHLAKRHPDIRPESVPELNLPILQTTRDYYCQYCEKVYKSSSKRKAHILKNHPGAALPPSNRKQGSLQEVSGLPNPTFSQTVGSITTRPQNCKWCHKQYASKAKLLQHQRKKHRELLISEEVKDIPQNNNGIELMNEKIDQKRDDNDAVTEFDKVVENMISGELDYNLEEEGEYCHLAINENESFIETNELENPNSHLYRLLTTANNGMLPPR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

90% Identity
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80% Identity
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