Basic Information

Gene Symbol
p115
Assembly
GCA_963669355.1
Location
OY770264.1:15159544-15204666[+]

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 14 5.6 6.3e+02 2.6 0.1 3 20 179 196 177 197 0.93
2 14 0.86 97 5.1 0.5 2 23 459 480 458 481 0.93
3 14 0.00038 0.043 15.7 1.9 2 23 545 566 544 566 0.98
4 14 2.4e-06 0.00027 22.6 1.1 2 23 609 630 608 630 0.97
5 14 0.012 1.3 11.0 5.5 1 23 636 659 636 659 0.98
6 14 0.00054 0.06 15.2 2.0 1 23 670 692 670 692 0.99
7 14 0.00012 0.013 17.3 0.8 1 23 698 721 698 721 0.98
8 14 9.2e-05 0.01 17.6 1.3 1 23 735 757 735 757 0.99
9 14 0.18 20 7.2 1.1 1 23 763 786 763 786 0.97
10 14 9.2e-06 0.001 20.8 0.8 1 23 800 822 800 822 0.99
11 14 0.15 17 7.5 3.5 1 23 828 851 828 851 0.98
12 14 9.7e-05 0.011 17.5 3.9 1 23 865 887 865 887 0.99
13 14 1 1.1e+02 4.9 4.8 1 23 893 916 893 916 0.97
14 14 3.1 3.5e+02 3.4 0.3 2 23 1253 1275 1252 1275 0.93

Sequence Information

Coding Sequence
atgtgtCGAACGTGCTTGAGATCGGGTGAAGTGATGTCCTCTGTATTCGACGAGAAAATCGAACCCGCAAGGCGCACTGTAGCTGATCTGTTGACGATGTTTACATCCGTTCAGGTCGACAAAGAAGATGACTTTCCGCATAACATTTGTTACATCTGCCTTAAGGAAATTCGACAAgcgtatttatttgatttgaaatgtaaGAAATCAGAAATTATTTTACATCAATTGAGAGAACTCAGAGTTAGCTTGAAAAAACTGAACGTAATACCACAACAAAATGAAATTGCTAGCGAAGTTGCTGGTAttctaaaagaaaattttaagatagaagaTGTCAGGAGTCTCTGTGATCGCACCATCATCGATTCCGAATATTCTGATCAGAACAACCTTATTATAAACGACAATGAAAATGATGAAGAATCGGAATTCAGCGAAATATCGTCAAATCTTCAAGTTTTCGAACATGAACGTGTCCCGAATTTTCATGTGTCTTTTAAATCAGAACCCGAGCTGGATATTGGCATAGATTGCTCGACTTGTTTAAAACAGTTTCAATCGCTGGATATGTTCCGCGGTCACATAGTCGATAAAGAAGATGACTTTCCGCATAACATTTGTAACATCTGCCTTAACGAAATTCAACAAgcgtatttatttgatttgaaatgtaaGAAATCAGAAATTATTTTACATCAATTGAGAGAACTCAGAGTTACCTTAAAAAAAGTGAACGTAATACCACAACAAAATGACATTGCTAGCGAAGTTGCTGGTGAACTTGAAAGTATTCTAAAAGAAGATTTTAAGCTAGAAGATGTCACGAGTCTCTGTGATCGCAAAATTAGCGATTTCGAAAGTTTTTCTAAGACAAGTGAGAAATTAAATCTTCCAATTGTGAAAGAAGAATGTACTCGGGATCTTCAACTGGCCTTTAAAAGCGAACCTGAGCAAAGCAACCATTATATGAAAGACGATACAAATGAGAAAGACTTAGAACACATCGAAATAGTGCCAAATTTCCAAATTGTAGAAGACTGTGATCCTCAAATAACTTTGAAACAGGAGCCTGATCACAACAGCCCTATTATTAGAAATAATGTAGCTCAGAACGGATCTGAACTCAACCAAAActcatcaaattttgaaatcatgGATGAATGTGTTCCGGAATATCAAGTTATTTTCAACACAGAGCCTGATCAGAACAACCTTACTATAAAAGACAATGAAAATGAGGAAGCATCGAAATTCAGCGAAATGccgtcaaattttcaagttttcgaACATGAACGTGTCTCGAATTTTCATGTGACTTTTAAATCAGAACCCGAGCTGGATATTGGCATAGATTGCTATGACGAGAAATTGGAGTGCTCGGCTTGTTTAAAACAGTTTCAGTCGCTTGATATGCTCCGCGGTCACATAGTATCTCATCATTTAGAAGAAAACAATTGCAAACTTTGCAATGAAGAATTTCAATCCAGTCAAATCGAACATTCGGCTAAACATCTTCCATTTAACGAACCGGAGAATCCATCTGCCTCAAGTGAAGAGTCAATAAGACAAGCTGAAAAGGAGCATCTGAAAGCACCACATAAAGACGAATCCCTTTGCAAACCTGATTCCCAGTGTAAGATTTGTTCAAAAGTTTTCGCTCATAAATACATTTTAGGAAATCATATGCGTACTCATACTGAAAAACCGATAGACTATGAATTATGTCCGGAAATGTCTGGAAACAATAGCGCGCTGCTATGCCGTAACCAaactaagcacacagatgaaTTGAACAGTGATGACAAACAAGTTCCACACTTgcaatgcagtgtttgctatAAAGTCTTCCGCTACAAATGGCTATTAAGAAGGCATATGCGtgtgcataccggtgaaaagccgtttcaatgtaaattatgcCCGGAAAAGTTTAGAAAGAGCGAGTCCCTACGAtgccatagacgaactaagcatACAGATGAACTGATTAGTAATGCACCAGACTTCCAATGCAGTGTCTGCTACAAATTTTTCGGCCAGAAATACATATTAAGAAACCATATGCGTGTCCATACTGGTGAAAAACCTTTTCAATGTGAATTATGTCCGGAAAAATTTGGAAACAGTAAAACGCTGCTATGgcatagacgaactaagcacGCCGATAAATTGATTAGTGATGATAAAACACTACCAGACTTTCAATGCAGTGTATGCTACAAAGTTTTCGGCATGAAAGGCAGATTGAGAAATCATATGCGTTCTCATACCGGCGAAAAACCGTTTAACTGTGAATTATGTCCGGAAAAGTTTGGAAATAGTATCGTGCTGCAATGCCATATACGAACTAAGCACACCGATGAATTGATTAGTGGTAATAAGCCAGTACCAGACttccaatgcagtgtttgctacaaagttttcggTCTGAAATCCTACTTAATAATTCATATGCGTACTCATACCGACGAAAAACCGTTTAAATGTGAATTCTGTCCGGAAAAGTTTGGAAATACTAACGCGCTGCAATGtcatagacgaactaagcacacaaATGAATTGATTAGTGATGATAAACCAGTACCGGACTTTCAATGCAGTGTTTGCAACAAAATTTTTGGTCTGAAATGCCACTTAATCGTTCATATGCGTACTCATACCGGCGAAAAACCGTTTAACTGTGAGTTCTGTCCGGAAAAGTTTGGAAATAGTAACGCGCTGCATTGCCATAGACGAACGAGGCACACAAATGAATTGATTAGTGATGATAAACCAGTACCAGACTTTCAATGCGGTGTTTGCTACAGAATTTTCGAAATGTGCCGAACGTGCTTGAGATCGGGTGAAGTGATGTCCTCTATATTCGACGAAAACATCGAACCCGCAAGGCACACTGTAGCTGATCTGTTGGCGATGTTTACATCCGTTCAGGTCGACGAAGAAGATGATTTCCCGCATAACATATGTGACATCTGCCTTAAGGAAATTCAACAAgcgtatttatttgatttgaaatgtaaAAAATCGGAAATTATTTTACATCAATTGAGAGAACTCAGAGTTAACTTAAAAAAACTAAACGAAATACCAAAACAAAATGACATTGCTAGCGAGGTTGCCGGTGAACTTGAAAGTATTCTAAAAGATGATTTTAAGCTAGAAGATGTCATAAGTCTCTGTGATCGTCACATCAGCGATTCCGAAAGTTCTGCAAGTGAGAGAATTCGATTtgtcgaaaaagaaaattctaaGGCAAGTGAGAAATTAAATCTTCAAATCGGGGAAGAAGAATGTACTCGAGATCTTCTACTGACCTTTAAAAGAGAGCCTGATTATAGTAGCCATTTTATGAAAGACGATACAAATGAGAAAGAACTAGAACGCATCCaaatattgtcaaattttcaaattatagaAGAAGACTGTGACCCTCGAATAACTTTGAAACAGGAGCCTGATCACAATAGCCCTATTAGAAACAATGCATGTCAGAACGAATTAGAACTCAACCAAAActcatcaaattttgaaatctttGATGAATTCGTTTCGGAATATCAAGTTATTTTCAAAACAGAGCCTGATCAGAATAACCTTATTAAAAAAGACAATGAAAATGAGGAACAATTAGAATTCAGCGAAATGtcgtcaaattttcaagttgtcgAAGAAGAATGTGTCCCGGATTTTCATGTGACTTTTAAATCAGAGCCCGAGCTGGATATTGGCATAGATTGCTATGAAGCGCAATTGAAGTGCTCGGCTTGTTTAAAACAGTTCCAATCGCTGGATATGTTCCGCGGTCACATAGTATCTGATCATTTGAAAGAACACATTTGCAAACTTTGCAATGAagAATTTGAATGCAGTCAATTTGAACATTCGGCCAAACATCTTCCATTTAGCGAACCGGAGAATCCAATTGGCTCAAGTGAAGAGTCACTAAATCAAACTGAAAAAGTGCATATGAAAGCAATACACAAAGACGAATTAGTTGGCAAACGTGAATTGCAGTCTCTTTCCCGGAAGTACCGGATCGAGGTGGGCGCACAGGGAATGCCGGCCCTTCTGCAGGTCCTCCAGATGGATCGGGCCGACAACGAAATTGTGAGCTATGCGCTCGATGCACTCTGCCAAATCGTGGCGCCCGAACAGTTCGACGAAGAAATCAATAATCCGCAAGTTACGGTCAATGTGGGCGAACAATTCACCGAGATGTTCATAAAACCGGCCGAAAATGTTTCGCTGATTCTCGGCTATCTGGAAGAGTATGATTTTCGTATCTGCTGGGCTGCTATCAAACTATTAATGACGCTGCTGGCCAACAAGACCAAGGATATTCAGGAGATCGTGCTGGTCAGTCTGATGGGTGTGTCCAAGCTGATAGATTTGCTTAACGATAGTCCCGAGATTGTTGCATTCGATCGTCTTTTCGACGTTGTTCGCGACGAAGGCTGCTCGGACGGTGGAATTATCGTCGAAGATTGTCTGATTCTGATGTCGAACCTACTGAAAAACAACTCGAGTAATCAACAGCCTACGTGGTCCAGCACTCTGTTTGATAAGTAG
Protein Sequence
MCRTCLRSGEVMSSVFDEKIEPARRTVADLLTMFTSVQVDKEDDFPHNICYICLKEIRQAYLFDLKCKKSEIILHQLRELRVSLKKLNVIPQQNEIASEVAGILKENFKIEDVRSLCDRTIIDSEYSDQNNLIINDNENDEESEFSEISSNLQVFEHERVPNFHVSFKSEPELDIGIDCSTCLKQFQSLDMFRGHIVDKEDDFPHNICNICLNEIQQAYLFDLKCKKSEIILHQLRELRVTLKKVNVIPQQNDIASEVAGELESILKEDFKLEDVTSLCDRKISDFESFSKTSEKLNLPIVKEECTRDLQLAFKSEPEQSNHYMKDDTNEKDLEHIEIVPNFQIVEDCDPQITLKQEPDHNSPIIRNNVAQNGSELNQNSSNFEIMDECVPEYQVIFNTEPDQNNLTIKDNENEEASKFSEMPSNFQVFEHERVSNFHVTFKSEPELDIGIDCYDEKLECSACLKQFQSLDMLRGHIVSHHLEENNCKLCNEEFQSSQIEHSAKHLPFNEPENPSASSEESIRQAEKEHLKAPHKDESLCKPDSQCKICSKVFAHKYILGNHMRTHTEKPIDYELCPEMSGNNSALLCRNQTKHTDELNSDDKQVPHLQCSVCYKVFRYKWLLRRHMRVHTGEKPFQCKLCPEKFRKSESLRCHRRTKHTDELISNAPDFQCSVCYKFFGQKYILRNHMRVHTGEKPFQCELCPEKFGNSKTLLWHRRTKHADKLISDDKTLPDFQCSVCYKVFGMKGRLRNHMRSHTGEKPFNCELCPEKFGNSIVLQCHIRTKHTDELISGNKPVPDFQCSVCYKVFGLKSYLIIHMRTHTDEKPFKCEFCPEKFGNTNALQCHRRTKHTNELISDDKPVPDFQCSVCNKIFGLKCHLIVHMRTHTGEKPFNCEFCPEKFGNSNALHCHRRTRHTNELISDDKPVPDFQCGVCYRIFEMCRTCLRSGEVMSSIFDENIEPARHTVADLLAMFTSVQVDEEDDFPHNICDICLKEIQQAYLFDLKCKKSEIILHQLRELRVNLKKLNEIPKQNDIASEVAGELESILKDDFKLEDVISLCDRHISDSESSASERIRFVEKENSKASEKLNLQIGEEECTRDLLLTFKREPDYSSHFMKDDTNEKELERIQILSNFQIIEEDCDPRITLKQEPDHNSPIRNNACQNELELNQNSSNFEIFDEFVSEYQVIFKTEPDQNNLIKKDNENEEQLEFSEMSSNFQVVEEECVPDFHVTFKSEPELDIGIDCYEAQLKCSACLKQFQSLDMFRGHIVSDHLKEHICKLCNEEFECSQFEHSAKHLPFSEPENPIGSSEESLNQTEKVHMKAIHKDELVGKRELQSLSRKYRIEVGAQGMPALLQVLQMDRADNEIVSYALDALCQIVAPEQFDEEINNPQVTVNVGEQFTEMFIKPAENVSLILGYLEEYDFRICWAAIKLLMTLLANKTKDIQEIVLVSLMGVSKLIDLLNDSPEIVAFDRLFDVVRDEGCSDGGIIVEDCLILMSNLLKNNSSNQQPTWSSTLFDK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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