Basic Information

Gene Symbol
Zfa
Assembly
GCA_949752895.1
Location
OX457151.1:2749222-2757421[+]

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 10 0.00051 0.048 15.1 4.9 2 23 275 296 274 296 0.97
2 10 2.8e-05 0.0026 19.0 0.9 1 23 301 324 301 324 0.97
3 10 1.3e-05 0.0013 20.0 5.7 1 23 330 352 330 352 0.98
4 10 6.7e-05 0.0063 17.8 0.9 1 23 358 381 358 381 0.95
5 10 0.00013 0.013 16.9 6.5 1 23 387 409 387 409 0.98
6 10 2.1e-05 0.002 19.4 0.9 1 23 415 438 415 438 0.96
7 10 0.0059 0.56 11.7 7.4 1 23 444 466 444 466 0.98
8 10 2.3e-06 0.00021 22.5 1.0 1 23 472 495 472 495 0.97
9 10 0.00077 0.072 14.5 6.8 1 23 501 523 501 523 0.98
10 10 0.00063 0.06 14.8 2.7 1 23 529 552 529 552 0.98

Sequence Information

Coding Sequence
ATGGGCTTGGCAGATACATGCAGGGTATGTTTGACCGGTCAGACGCGTTTGCACGCTATAAGCAACACTTTGTTTCAAGAAATCTGGGAAAAGCTAACAAATGCTAAGTTCAATACTAATGATGGGAAATCCCTCCTTGTGTGCTACATGTGCTGCGCACAGCTGAGGAGGGCACATCAGTTGATGAAGAGGGCTTCAGAGGCTGAGAAAATGCTCACAGCTATTGTCAATAATGGTTCTGAAGAGGACAATCTTGAAAATTATGATGTTGAGTCAGACACGCCTTCGGAGTATAATACACTTCTGAAGCCGAAACTGGAAAGTGAAGTTCAAAGTGTTTTGGAGAGGATTGATACAGGCCCATCTGAAAGGAAACGCACAATAAAAGAAGAACCCCGATACGGGAAGCGAATTAAGTTCGAGGATACAACTGAAGACATAAATCCTTTAACTGATGATGTTTTGGAAGGTTTGCAACCAAATGATTCCAAAATGCCAGACAAAATCTTGTCTAAAAAATTATCTGTAGACTCAAATGTGAAAATTTCTAAGAACAATCAAAATGTAAAATCAGTTATGATTTGCAATCAGGCAAATAGTATTTCACCAAAACTTAATATTACACCAAAACATAAGATTGGAATTAAAAATGTGATTGCACAAGGCAGTGAGGCATTTACTTCTAAAGTCATTTGTAATAATGCTGAAAATGAAATGCAATGTTTTCCAAAGAGTGCAGATGCAGTTGCTTCAAGTACTTCATTAGACAAAAGTAATGAAAGAATGCAATCAAGTATCTGTAAAGGATTAGAAAGTGGGCTTTCGTGCCATACATGTGAATACAAATGTGTTACAGAAAGCGAGTTAAAtagacaccttcgtaaacacagtGAGAAGCCATACAAATGTGATGTATGTGAAGATAGGTTTTCACAAAGTGCTAATTTGGAAACCCATAtgaagtataaacacacaaaggagaagaagttCTCATGTCATATTTGTCAGTACAAGTGTGTCACAAAAAGCAACTTAAATGTACAcattcgtaaacacactggagagaagccatacaaatgtgatttatgtgataataGATTTTCACAAAGAGCTGGTTTAGAAAGACACGTAAAGTTTAACCACACAAAGGAGATGAACTTCTCGTGTCATATCTGTCAGTACAAGTGTGTCACAAAATACGAGTTAAATAGACACCTTCGTAATCACACTGGAGAAAAgccatacaaatgtgatttatgtgataataGATTTTCACAAAGAGCTGGTTTAGAAAGACATATAAAGTTTAACCACACAAAGGAgatgaacttctcatgtcatatgtgtcagtacaaatgtgtcacaaaataCAGGTTAAatgtacaccttcgtaaacacactggagagaagccatacaaatgtgatttgtGTGATGAGGGATTTTCACATAGAGGTAGTTTAGAACGTCATATAAAGCTAAACCACAcgaaggagaagaacttctcatgtcatatgTGTCAGTACAAGTGTGTCACAAAATACGAGTTAAATAGACACCTTCTTAAACACACTGAAGAGAAgccatacaaatgtgatttgtgtgattatAAATCTTCATATAAGTTCACTTTAAAGTCACATATAATGTCAAaacattcataa
Protein Sequence
MGLADTCRVCLTGQTRLHAISNTLFQEIWEKLTNAKFNTNDGKSLLVCYMCCAQLRRAHQLMKRASEAEKMLTAIVNNGSEEDNLENYDVESDTPSEYNTLLKPKLESEVQSVLERIDTGPSERKRTIKEEPRYGKRIKFEDTTEDINPLTDDVLEGLQPNDSKMPDKILSKKLSVDSNVKISKNNQNVKSVMICNQANSISPKLNITPKHKIGIKNVIAQGSEAFTSKVICNNAENEMQCFPKSADAVASSTSLDKSNERMQSSICKGLESGLSCHTCEYKCVTESELNRHLRKHSEKPYKCDVCEDRFSQSANLETHMKYKHTKEKKFSCHICQYKCVTKSNLNVHIRKHTGEKPYKCDLCDNRFSQRAGLERHVKFNHTKEMNFSCHICQYKCVTKYELNRHLRNHTGEKPYKCDLCDNRFSQRAGLERHIKFNHTKEMNFSCHMCQYKCVTKYRLNVHLRKHTGEKPYKCDLCDEGFSHRGSLERHIKLNHTKEKNFSCHMCQYKCVTKYELNRHLLKHTEEKPYKCDLCDYKSSYKFTLKSHIMSKHS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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