Basic Information

Gene Symbol
prdm10
Assembly
GCA_004796505.1
Location
SSSI01008667.1:56229-60409[+]

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 6.9e-05 0.0066 16.9 0.1 2 23 419 440 418 440 0.96
2 12 7.6e-05 0.0073 16.8 0.2 1 23 509 531 509 531 0.97
3 12 0.007 0.67 10.6 0.7 1 23 549 572 549 572 0.93
4 12 2.3e-05 0.0022 18.4 0.4 2 23 591 612 590 612 0.97
5 12 0.027 2.5 8.8 3.7 2 23 621 642 620 642 0.96
6 12 0.056 5.3 7.8 0.7 1 23 649 671 649 671 0.95
7 12 0.002 0.19 12.3 3.5 1 23 677 700 677 700 0.96
8 12 0.00037 0.035 14.6 4.1 1 23 705 727 705 727 0.96
9 12 0.00049 0.047 14.2 4.5 1 23 733 756 733 756 0.89
10 12 0.0018 0.17 12.5 1.7 1 23 798 821 798 821 0.97
11 12 5.8e-06 0.00055 20.3 1.8 1 23 843 866 843 866 0.97
12 12 0.0023 0.22 12.1 2.1 3 23 915 936 913 936 0.96

Sequence Information

Coding Sequence
ATGGATACCATAGTAAAACATAGTTTAAATGATGAATGTAAAGACTTATTGGAACAACCACAATGGGCTGAGCAAACAGAAGAATCGCAAATCGATTTAGATAACAATTCCACTCTTTTATACATTGAGGTGGAATACGTTAAAGATGATCCTGGTTTATCGGAAACTCAAATACCATACAATCATTTCGAGCAACATGTCAGTCCATTGGACCCAAATATGAGTTCAGTGGCACGTTATAGTCCAGTTTATAATCAAAATGAACAATCGAATGAATTCAATCCTGTTATACAATTAGTTTCCCATCCAGAGCCGCCCCAATCGACGCAAGCATTAGAAACAATTTCCactgttttaaacaataatatgacACAGTATTTACATATGGTTGATAATGAGACTTTACGTACAGATACAGAAGAATTTCAATTAGTTAATGATGAAAAggaacaacaacagcaacgtgttgaattattaatcaCTGATCAAGCAACAGGAATATCTTATAGCGTTAACACTCAAGATATACTTGTTGAACGTTGTTTAGATGATGAACAATTATTAAGTGTTTTAAACTCGGAACCACTATTAGATACTACTGATTTGTTGCAGCAATTTGAtgtaaatgcaataaaaactGAATTGAATGATGAATCATCTCAGAATTTAgtacaaaattatatcaattCTGTGGAAAACGAGAATGTGTATAAGAATTTGAACGATGATAACTATAAATTAGAAACTAGGAGACAAAGAGGCAATGTAGACCCTGAAGAACAACTTTtatcTTGCGTTTACACTATTACGGATAAGCCGATTTTATCAAGAGCAAGAGCCACATTACCAGAATCTTATCttgttattaacaaaattgataATGCTAATGGGGTTTTTGCTAAAAAAGCAATACCAATGCGTACCCAATTCGGACCACTTGAGggcattttacataaaattaatcgTTGCGCAATAAAAACGAACTCAGATAATTtgcaatatatttatgaaattgataataatttatatcgtATAGATGTTAGTATGGAAGAAACATCAAATTGGATGTGTTTTGTACGTAAAGCTGATACGTATGAAGAacaaaatttggtaattagTCAAGAAACAgatggtatatattttacaacgataaaacaaattttaccaAAACAAGAATTGAAAGTCGGTTATAGTATATCTTATGggaaattatacaattttccaatattagAACCGAAATTAGTGAAATCATGGCCATGTTACGAATGTGATGAGAAATTTATCAATTCAAATGaattacaaatacatttaaatgtacatgATAATGAACGAAAGtcaataataaaacgtaaattacaattacaagtaaataataagaagcaaacaaatgaaatattagaatgtaatttatgtaaagCAATATTTATggattatacatattttatgttacGTAAACATTTAAGAGAAAATCATCGTTTAATTGGTAGTATAACAATTGATGAAAAATATTCAGTTGTTGCGTGTTATCGATGTAATTTATGTGATTATGCTTTTCGTTCAGATGCTTTATTACGTATACATCAATTAGAACATGGCAATAGTGACTGTAACAATGATACAGATGAagaacaacaaatttttcatCATATTTGTCCTGCGTGCCAACGTAAATATCCAACACAGCGTCAGTTGATCTTGCATGTACAACAGCAGCACGCATTGCCGAAGAAAATCAAGAAAATCAAATCAAGCAGTAATGCGGATTGCATTAAATGTCCAGTTTGTTATAAGATGTTTGCATTTCGCGATCGTTTGCAGaagcACATGCTAGTTCACGGATCTGATGATTTAAAGCCACTAGAATGCAAAATGTGCAATAAACGTTTCTTAAACAAGTCAGCATTAACATGCCACGTAAAAACTCATTATGTGGGTAAAAAAGTGTTTGAATGTCCGATTTGTTTGGAACGATTTGATCatgtattgaaattaaaactgCATGTTACCCAACATTGTCATAATAATCAATATACTTGTCCgcattgtaagaaaatcttcaaaaaatatagtataatacGTAAACATATACGAGCTTTCCATTGTGAACGGAAACATAATTGTGAACATTGTTCGAAAATGTTTCCAACATTAGATAAATTACGTATGCATTTATTACGGCATTCAGATCATCGTGAATTTCTATGTTCTGATTGtggtaaacaatttaaacgtAAAGATAAATTAACAGAACATTGTAAACGGATGCATATGGGTGAAGAATCTGAAAATACTGTaccaacacaacaacaaaacacgaaaaatagtaataatggACAAACTTCTAAAAAAGGTACACCGAAAACATCGCCAACAGATTTTCATCGTTTCATTTATAAGTGTCATACTTGTTTAGTGGGTTTTAAACGGCGTGGAATGCTGGTTAATCATTTGGCTAAACGGCATCCGGACATTCAGCCCGATTCTGTTCCTGAATTAAATTTGCCAATTTTGCAAACAATTCGCGATTATTATTGTCAATATTGTGATAAAGTGTATAAAAGTAGTTCGAAATTAAAAGGACACATTTTGAAGAATCATCCCGGCGCTGCATTACCAATGAGTAATCGTACAATgaaacaacagcaacaacaacaaaatgcaAATGGTGGCCCAATACAAGAACAAAATACAAATCCAATATTTTCACAAACAGTTGGTAGTATTACAACGCGGCcacaaaattgtaaatggTGTTTCAAACAATATGCAAGTAAAGcgaaattattacaacatcAACGCAAAAAACATGCTGAACAATTAGATAATTTAACACAACAGAATAAGAATAGGGATAAAGAGAAAATAAAGACAACAAACAGTAATGATATGAGTGTAAAACAAGAATTAATTGAtggaaaaaatgataataatatagGAATGGATGCATTATTTActggtaataaaattgttgatgaaattaatattattgatgATTTGAATGTTGTTTCGTTGAATGGAACTAATGTTGATGATGTTAATAATggtttaaatgaatttgttgatAATTCAAGCTCGCATTTGTATCGATTATTAACGACTACAACTAATGGAATGCTGCCGCCTCCACGTTGA
Protein Sequence
MDTIVKHSLNDECKDLLEQPQWAEQTEESQIDLDNNSTLLYIEVEYVKDDPGLSETQIPYNHFEQHVSPLDPNMSSVARYSPVYNQNEQSNEFNPVIQLVSHPEPPQSTQALETISTVLNNNMTQYLHMVDNETLRTDTEEFQLVNDEKEQQQQRVELLITDQATGISYSVNTQDILVERCLDDEQLLSVLNSEPLLDTTDLLQQFDVNAIKTELNDESSQNLVQNYINSVENENVYKNLNDDNYKLETRRQRGNVDPEEQLLSCVYTITDKPILSRARATLPESYLVINKIDNANGVFAKKAIPMRTQFGPLEGILHKINRCAIKTNSDNLQYIYEIDNNLYRIDVSMEETSNWMCFVRKADTYEEQNLVISQETDGIYFTTIKQILPKQELKVGYSISYGKLYNFPILEPKLVKSWPCYECDEKFINSNELQIHLNVHDNERKSIIKRKLQLQVNNKKQTNEILECNLCKAIFMDYTYFMLRKHLRENHRLIGSITIDEKYSVVACYRCNLCDYAFRSDALLRIHQLEHGNSDCNNDTDEEQQIFHHICPACQRKYPTQRQLILHVQQQHALPKKIKKIKSSSNADCIKCPVCYKMFAFRDRLQKHMLVHGSDDLKPLECKMCNKRFLNKSALTCHVKTHYVGKKVFECPICLERFDHVLKLKLHVTQHCHNNQYTCPHCKKIFKKYSIIRKHIRAFHCERKHNCEHCSKMFPTLDKLRMHLLRHSDHREFLCSDCGKQFKRKDKLTEHCKRMHMGEESENTVPTQQQNTKNSNNGQTSKKGTPKTSPTDFHRFIYKCHTCLVGFKRRGMLVNHLAKRHPDIQPDSVPELNLPILQTIRDYYCQYCDKVYKSSSKLKGHILKNHPGAALPMSNRTMKQQQQQQNANGGPIQEQNTNPIFSQTVGSITTRPQNCKWCFKQYASKAKLLQHQRKKHAEQLDNLTQQNKNRDKEKIKTTNSNDMSVKQELIDGKNDNNIGMDALFTGNKIVDEINIIDDLNVVSLNGTNVDDVNNGLNEFVDNSSSHLYRLLTTTTNGMLPPPR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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