Basic Information

Gene Symbol
pdgfa
Assembly
GCA_018903695.1
Location
JAEIFO010001359.1:1696389-1712107[+]

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 7 0.4 28 5.3 1.6 1 23 66 89 66 89 0.95
2 7 0.92 64 4.1 0.1 2 23 95 120 94 120 0.84
3 7 4.7 3.3e+02 1.9 0.1 4 23 132 155 126 155 0.75
4 7 0.0052 0.36 11.2 0.0 1 23 215 238 215 238 0.95
5 7 0.00012 0.0081 16.4 2.4 1 23 272 295 272 295 0.96
6 7 3.3e-06 0.00023 21.3 1.4 1 21 300 320 300 325 0.93
7 7 0.01 0.7 10.3 2.3 1 23 328 351 328 351 0.94

Sequence Information

Coding Sequence
ATGGAATTAAAATTGATACTACCAAAGCGACCACTGGATGATATTGATGGCCAGGATGACCAGGGACTCGATTCTAACTTAAGAAAACGTCCAGCAACACGGATTTACCATTGTCGAACGTGCCTGGTGGCCTTTCCGCGCTTCCTGGCCTGCCGGGCGCACGAACAGCTGTGCCTCGCTCGCGTTGCTCAGCTGCATATGTGCAGGTACTGCCTGACGCTGTACGGGGATGAGCAGCTGCTGCTGCGGCACATACAGCGCAAGCACGTAGACGGACGCTACTTGTGCCTGCAATGTGGCACCGCGGGCAAGCGCTACAGTACACCGATATTCCTGTACAAGCACGTCGTCTCCTGGCATGGCGAGCACTCGTTGTTCTACTGCGCCATGTGCGCGGACAACTGCAACGATGCCAAGGCCTTTAGCTCGATGGCCGGTTTGGTGGCGCATGCCGAGAGCGAGCACCGACTGCGCCAAAGCGACGGCAGCGTTGTGGATGACACGGAGGATCTGGAGATGCTCGAGGAGAACATCGATGAGCTGCTGCCCACCGTTGACTGGGACGACGATCTGACATTCGGTTGGCCCATGGACCTGGACAAAGAGTCCTGCATAGCGGATCCCAAGCCCAAGCCCAGCGCCTATGTTTGTCCCATTTGCGCTAATGGTTTTACCGGCAGCATCAGCCTGCTGAAGCATATTGAACTTTCGCATCAGCGCAATCCGCTCGACTGCATCTTCTGCGAAAAGTCACATAAGAATCGCGAGGCAATACGTGTCCATCTACAGCGTCAGCATGTCCTGCTTCGCGCGCACATCTGTGAAGTATGCAAAGCGGATTTCACCACTGCCGACCACCTGCTGAAGCATACAAGGAGCCAGCATTTGGAGCGATCCCACGTCTGTCCCGAGTGCGGCAAATCCTTTGCCCAAGTCTGTCATCTAACGGCGCACATGCTCTCCGAACGGGGTCACGTCAAGCACATCTGCAACCTTTGCAATGTGCAATTCTTCCGTTTCATAGATCTGACACGGCATCTGCAGCTGAAGCATCCAACTGTCCATGAACAGCTCTCACTGGAGCTGAGCAATGTGACAGCCGAGTACAGCGACAACGAAGGCTCTGGCGAACCTTCCTCCAAGGAGAACTTTAAGCGCAGTGTGGCACGTGCTGCCATACGCAATGCGACGCCAGCGAGCTGCTCGCCCCAACCCACCATCGTGGAGCTGAAGCCGCTGGGGGAGGCGCAGGGCGGGGAGCAGACAGCGGGCACGGTGTATTACTCGCCCGCCTGCACGCGCATCAATCGCTGCAACGGCTGCTGCGGCTCGACACTGATCTCGTGCCAGCCCACCAAGGTGGAGACGCTGCAGTTGCGCGTGCGCAAGACGGAGCGCCTTGGGGCGACGAGCAAACGAGGCTCGGCCATTGTCAGCGTGGAGCAGCATCTGGAGTGCAAGTGCGACTGCCGCATCAAGGCCGAGGATTGCAATGCGTATCAGGAGTACCGCAAGGACTTGTGCCGCTGCGAGTGCCAGAACACGGATGCGCGCGACAAGTGCCTGGAGCAGTCGGAGCACAAGTACTGGGACGATGCGAACTGCACCTGCGCCTGTCGCTACATTCAGAGCTGCACCACCGGCACCAACTTCGATGAGACGCAGTGCAAGTGCACCGATCCATCGACACCCAGCGATTTTGCAGATCGTCGACGCTTTATCGTGCAGGCTGTGGCCGTGGAGGAGGACAACAGCACCCTGTATAGCGTCTAG
Protein Sequence
MELKLILPKRPLDDIDGQDDQGLDSNLRKRPATRIYHCRTCLVAFPRFLACRAHEQLCLARVAQLHMCRYCLTLYGDEQLLLRHIQRKHVDGRYLCLQCGTAGKRYSTPIFLYKHVVSWHGEHSLFYCAMCADNCNDAKAFSSMAGLVAHAESEHRLRQSDGSVVDDTEDLEMLEENIDELLPTVDWDDDLTFGWPMDLDKESCIADPKPKPSAYVCPICANGFTGSISLLKHIELSHQRNPLDCIFCEKSHKNREAIRVHLQRQHVLLRAHICEVCKADFTTADHLLKHTRSQHLERSHVCPECGKSFAQVCHLTAHMLSERGHVKHICNLCNVQFFRFIDLTRHLQLKHPTVHEQLSLELSNVTAEYSDNEGSGEPSSKENFKRSVARAAIRNATPASCSPQPTIVELKPLGEAQGGEQTAGTVYYSPACTRINRCNGCCGSTLISCQPTKVETLQLRVRKTERLGATSKRGSAIVSVEQHLECKCDCRIKAEDCNAYQEYRKDLCRCECQNTDARDKCLEQSEHKYWDDANCTCACRYIQSCTTGTNFDETQCKCTDPSTPSDFADRRRFIVQAVAVEEDNSTLYSV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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