Basic Information

Gene Symbol
prdm10_1
Assembly
GCA_963556235.1
Location
OY744559.1:9509744-9513307[+]

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 0.00019 0.02 16.0 0.0 2 23 425 446 424 446 0.96
2 13 6.5 7e+02 1.7 2.5 2 15 477 490 476 501 0.70
3 13 0.0011 0.12 13.6 0.5 1 23 519 541 519 541 0.97
4 13 0.00093 0.1 13.8 0.8 1 23 553 575 553 575 0.95
5 13 3.3e-06 0.00035 21.5 0.3 2 23 588 609 587 609 0.97
6 13 0.019 2 9.7 4.6 2 23 618 639 617 639 0.97
7 13 0.038 4.1 8.7 0.8 1 20 646 665 646 668 0.91
8 13 0.022 2.3 9.5 6.1 1 23 674 697 674 697 0.96
9 13 0.00017 0.018 16.1 1.9 1 23 702 724 702 724 0.97
10 13 0.0011 0.12 13.5 4.0 1 23 730 753 730 753 0.89
11 13 0.0073 0.78 11.0 1.6 1 23 791 814 791 814 0.97
12 13 6.4e-05 0.0069 17.5 2.3 1 23 836 859 836 859 0.97
13 13 0.0043 0.46 11.7 2.8 2 23 898 920 897 920 0.96

Sequence Information

Coding Sequence
ATGGACACCATCGTGGAAAGCCCGTCTCCGGACGATGCCAACCAAGTCCTAAACTTGGTGGATCCAACCGTTTGGACAACTGACACCAACTCGGAACGAACTAGCAACAATTCCACCATGTATTACATAGCGGTGGAGTACGTCACCAATTTCAAATCCGACGACCAACAATCGCCAACAACGATCCCCATTCAACCCGCCGAAGTCTTCAATAACGACTTCAACTCGCACGTTAGTCCACTGGATCCTAACATGAGCTCAGTCGCTCGTTATAGTCCGGTCTATAACGAGTTGTCGAACAGTGAATTCAATCCAGTGGTCATTCATCAGTTGGTGAGTGACGTGCAAGACTCGTCACTCGAGAATATACCCGCCACACTCACCAGTACTGAAGTGAACGATCATTATCTGCACGAAATCGTGGAGAACAGCGATATTGTCAGTACGAACACTTCGAACTCTACTGAGAGTTTTCTAGTCAATCAGAACGATCAGGGGGTTGAGCTGTTAATCACGGATCAGTCTACTGGTATATCGTACAGCGTCAACACGCAAGAATTACTGGTTGGTCCTTTGCCAGATGAGCAATTGTTGGAAAATTTAACGCACGATCCATTGGTGGATCCAGATCCGGGTTTGAAAGCCGAATCGCTAAACGATGACTTAATTATTAACGCTGTCGCTTCGGAGGAAAATGATGTTAGTAGTTTTATTGATAGTATTCCGTTTGAGAAGAATTTGGATTGTCTCGAGTTTAATAAGACGCGACAACAACGCAATCAGCCAGTGGATCAGGAGGAGCAATTACtaTCGTGTGTGTATATGATTACCGATAAACCGGTTCAATCGAGAGCTAGAGCTACGTTGCCGGAATCTTATTTAGTTATAAATAAAGTTGATGAGGAAGATGCGGTGTTCGCTAAGAAGACGATTCCCATGCGAACGCAGTTTGGCCCACTAGAAGGAACTTTGGAGATTGCTGACGAAAATATTAAGCCGGAAGGTtgctattttcaatttttattaaagcacAATGACGATGTTTTGCGAATTGATGTTACGGATGAAAGTATTTCTAATTGGATGTGTTTTGTGAGAAAGGCCGTTAGTTTCGAAGAGCAGAATTTGGTTTTGAGCCAAGAAAATACCGGCTTGTATTTCACAactacgaaaaatattttacccAAACAAGAACTAAAATTTGGTTACAGCAGTTCGTACGCACAAACCCACAAACTCGCCGTCCTTGAACCGAAAGTGGAGAACACTTGGCCGTGCTTTGAATGCCCGGCCAAGTTTGCCACTTCGGAAGACTTGCAGCAACATTTGAACATCCACGACGACGAGAAGAACGAGAATGTGAAACCGCGACGGAAAATCCTGAAAAGCAAAgggaaaatattgaagaagCGTCCAACTGAAGTGTTGGAATGCAATTTATGCCACGCGACATTCGCACAATTTTCCTACAAATTCCTGAAGAAGCATTTAATGGAGACGCACAATTTCTCGGCCAACTCGTCGGTCGAGGAGAATTTCTCAATCGTCACaaGTTATAAGTGCGATAGTTGCGATAACGGCTTCAAATCCGAATCTTTGTTACGCATACATAAATTGGAGCACGATCCCGATTCAGCAGACGAGCAGATAACCAATCATATTTGTCCGTCGTGCCAACGGAAGTTCCCGACGCAACGTCAATTGGTTATCCATGTCTTGCAACATGCTTTGCCGAAAAAGGTTGTGCAATTTGATTACGTAGTTTGTCCAATTTGCAAGAAGAATTTTGCGCAGCGTGAACGTTTACAGAAACACATGATGGTTCACGGATCGGACGAACTGAAACCACTACAATGCAAAacgtgcaaaaaacgctttATGAATAATTCAGCCCTGTCCTGTCACGTAAAAACGCATTTTGCAGGTGCTAATTTATTCGAATGTCCGATTTGCAAGGAACGATTTGACCATGTCTTGAAATTGAAACTGCACGTGCCAAAGCACTGCGAAAATAATCAGTTCACTTGTCCACATTGCAAGAAGATATTTAAGAAATATTGCGTGATTCGCAAGCACATTCGCGCGTTCCATTGTGAGCGGAAGCACGTTTGCCAGCAGTGCTCCAAGATGTTTCCCACGGTTGATAAGTTACGGATGCACATGTTGCGACATTCGGATAAGCGAGATTTTCTGTGCGCTGATTGTGGCAAGCAGTTTAAGCGGAAGGATAAGTTGAAGGAGCATTGTAAGCGATTGCATTCGGAGGATATGGATAGCACGATTTTGCGGCCGTCCAAGCAGCAAGCTGGTACTGGGGCCTCGAAGAAACCGGCGCCGAAGACGGAACCCACGGATTTTCATCGCTTTATCTATAAGTGTCATTCGTGTTTGGTCGGGTTTAAACGTAGAGGAATGCTGGTGAACCATTTGGCTAAACGCCATCCAGATATTCGACCCGATTCGGTACCCGAACTGAATCTACCAATCTTGCAGACGACTCGCGATTATTATTGCCAGTATTGCGATAAAGTGTACAAAAGCAGCTCGAAGCGCAAAGCGCACATTTTGAAGAACCATCCAGGTGCCGCTTTGCCGATGAGCAATAGAGGTAAAGGTTCCTTGCAAGAAGTCTCGCATTTACCGAACCCGACGTTCTCGCAGACGGTTGGAAGTATAACAACGCGGCCGCAAAGTTGCATGTGGTGTCACAAGCAGTATGCCAGCAAAGCGAAGCTGGTGCAACATCAACGGAAGAAGCACTCGGAAGAGTTGGCTGCGATGTTGGGACAGGATAAAAGTAGTGATAAGGAAGATAATCCGGCTGAGCAACTTGGGAAGTTTGAGGAGGTGATGATTGCGGATGCTTGCGCTGAAGATGCGGATAGTTTTGAGAAAATTAGCGGTGCGGATGTTGAGAATTTGGTGAGCGATTTCGTGGAGGAAGAGTCGCAGTATTGCAATTTGATGTTGAATGAGAATGGGTATGAGTACATTGCTTCGGCTGATATGGATAATCCGGCGTCGCATTTATATCGACTTTTGACGACTAGCAATGGTTTGTTGCCACCGCGCTGA
Protein Sequence
MDTIVESPSPDDANQVLNLVDPTVWTTDTNSERTSNNSTMYYIAVEYVTNFKSDDQQSPTTIPIQPAEVFNNDFNSHVSPLDPNMSSVARYSPVYNELSNSEFNPVVIHQLVSDVQDSSLENIPATLTSTEVNDHYLHEIVENSDIVSTNTSNSTESFLVNQNDQGVELLITDQSTGISYSVNTQELLVGPLPDEQLLENLTHDPLVDPDPGLKAESLNDDLIINAVASEENDVSSFIDSIPFEKNLDCLEFNKTRQQRNQPVDQEEQLLSCVYMITDKPVQSRARATLPESYLVINKVDEEDAVFAKKTIPMRTQFGPLEGTLEIADENIKPEGCYFQFLLKHNDDVLRIDVTDESISNWMCFVRKAVSFEEQNLVLSQENTGLYFTTTKNILPKQELKFGYSSSYAQTHKLAVLEPKVENTWPCFECPAKFATSEDLQQHLNIHDDEKNENVKPRRKILKSKGKILKKRPTEVLECNLCHATFAQFSYKFLKKHLMETHNFSANSSVEENFSIVTSYKCDSCDNGFKSESLLRIHKLEHDPDSADEQITNHICPSCQRKFPTQRQLVIHVLQHALPKKVVQFDYVVCPICKKNFAQRERLQKHMMVHGSDELKPLQCKTCKKRFMNNSALSCHVKTHFAGANLFECPICKERFDHVLKLKLHVPKHCENNQFTCPHCKKIFKKYCVIRKHIRAFHCERKHVCQQCSKMFPTVDKLRMHMLRHSDKRDFLCADCGKQFKRKDKLKEHCKRLHSEDMDSTILRPSKQQAGTGASKKPAPKTEPTDFHRFIYKCHSCLVGFKRRGMLVNHLAKRHPDIRPDSVPELNLPILQTTRDYYCQYCDKVYKSSSKRKAHILKNHPGAALPMSNRGKGSLQEVSHLPNPTFSQTVGSITTRPQSCMWCHKQYASKAKLVQHQRKKHSEELAAMLGQDKSSDKEDNPAEQLGKFEEVMIADACAEDADSFEKISGADVENLVSDFVEEESQYCNLMLNENGYEYIASADMDNPASHLYRLLTTSNGLLPPR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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