Basic Information

Gene Symbol
ZNF217
Assembly
GCA_905163395.1
Location
LR990879.1:4322997-4329763[+]

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 9 0.055 4.6 8.8 1.7 1 23 260 283 260 283 0.98
2 9 0.00061 0.051 14.9 2.5 2 23 291 312 291 312 0.97
3 9 0.0024 0.21 13.0 2.0 1 23 342 364 342 364 0.98
4 9 9.5e-06 0.0008 20.6 5.3 1 23 367 390 367 390 0.97
5 9 0.0077 0.65 11.4 1.2 2 23 394 416 393 416 0.92
6 9 0.0043 0.36 12.2 0.6 3 22 426 445 425 449 0.92
7 9 0.019 1.6 10.2 2.3 1 23 457 480 457 480 0.93
8 9 8.4e-06 0.00071 20.8 0.6 3 23 520 540 519 540 0.98
9 9 6e-05 0.005 18.1 0.3 1 23 546 569 546 569 0.96

Sequence Information

Coding Sequence
ATGTTTTCAAATACACACGAAATTTGTTATGTTTGTTTGTGTACGGATAGACGGCTTTATTTGTTAGGTAGTTATCGCGATACCTTTGTGAGGATTTGTAATGCTCAGCCTTGGAATCAAAACGGAGAACCAATGTTATGCTGGGAATGCGTCAGTTTATTACGAAAAGTACAAAAATTTCAAGAGAAAGCATTGAGATCTCAAAATTTGCTTGAGGTTCATGACAAAAATGAAATTCATCCAAATCTATCAACACTAATGATTATTGAGAAAAATGATTATGATTACGTCATGACACATGATGACGACAATGACAATAATTGTGATGTTAAATTGGAAGAGGAAGAAAAAAAAGTGCCAAAATATAATATAGACGATATAAAAAATGAGAATCATTACGATTTTGATGATTACGAGTATGATTACGAACATGTTGATAATGAGAACGTTAAAACGGAGAATATTGAAGTTTCTAATAATAAAATAAACACGAGATTATCTAAAAAAAGAAAAAATGATACAGAGCCCAAAATTAAAACTAAATTAACAAAGAAAAAAACAAAAGCCAAATTTAAGAATATAAAATTTTTAAATTCCGTCCCAGAGGAAAGCGGTGTAAGTAAGAAACCGAGGATATGTAAAAATCCATACAAAATTATAACTCTAGAAGGCGGTCTAAGCATTCCAGATAAGAAATGGTATAGAAAAATTAGGATTGATGATATAGAATTAAAAAAATGGATAGAAAAAGAGAGGGAGGCTTTGAGAAAATCACTTTTTAAATGCGATAGGTGTGTTACGAATTTCTTGAATCCCAGATCTTATACGCAACATATGGAAACATTTCACGATGAGGCGGCAGGTTCCAACGAATGCGATATTTGCGGAAGGAGATTCCACTCAAAGGAGAAGATGTCTCGACATTTGCAGTTGCATTATTTCAAATATCTTTGTCTGGTGTGCAACGAGGAACATTATAAACGGAAAGAGCACATTTGCAAGGCAAAACAATCGGACAAATTGTACGAGTGTCTGAAATGCGGACGAAGATATGATGTTCTCAAGGATTTTTTCAGACATTACAAATTACACACTGTGTTCATGTGTGATCACTGCGGTAAAGTGACCAGTACCAAGAATTCACTAAAAAGCCATATGAGACACACCCATTTACCAATACAATGTACGATATGTCAAATAACATACAAACAATACAGATTTCTCATACGTCATAATAAAGAGAAACACGTCGTCCAAGCGACGGAAGACGCTTATTGCGTGGAATGTGATGTACAGTTTGACAATAAAGAATTGTATAAACGACATCTGAAAACAAGCGTCAAACATAACAGGAAACCAATTAAAAAGCATGCGTGTAAAGAATGCGGTAAATTGTTTAATAAAGCATCAACAGCGAATTATCATTACAATTATTTCCACTTGAAGCAAACAAAGTTTATTTGTGAGCCATGTGATAGGTATTTCCTGAATGGATATCAATTGCGCTTCCACAGGGAGAGAGTGCACGAAAATAAACGCCCTCCGAAGAATAAGTTTTGCAGTTATTGTGGCAGGGCCTTCTCGAACAACAGGGTGCTCGAGAACCACGTCCGAACGCACACGGGTGAGCGTCCTTTTAAATGCGAACGATGTCCCGCGGCGTTCACGCAACAGCAAGCGTTAAAGTCGCACACGCGGGCTATACATAAGGACCGAAATAAATAA
Protein Sequence
MFSNTHEICYVCLCTDRRLYLLGSYRDTFVRICNAQPWNQNGEPMLCWECVSLLRKVQKFQEKALRSQNLLEVHDKNEIHPNLSTLMIIEKNDYDYVMTHDDDNDNNCDVKLEEEEKKVPKYNIDDIKNENHYDFDDYEYDYEHVDNENVKTENIEVSNNKINTRLSKKRKNDTEPKIKTKLTKKKTKAKFKNIKFLNSVPEESGVSKKPRICKNPYKIITLEGGLSIPDKKWYRKIRIDDIELKKWIEKEREALRKSLFKCDRCVTNFLNPRSYTQHMETFHDEAAGSNECDICGRRFHSKEKMSRHLQLHYFKYLCLVCNEEHYKRKEHICKAKQSDKLYECLKCGRRYDVLKDFFRHYKLHTVFMCDHCGKVTSTKNSLKSHMRHTHLPIQCTICQITYKQYRFLIRHNKEKHVVQATEDAYCVECDVQFDNKELYKRHLKTSVKHNRKPIKKHACKECGKLFNKASTANYHYNYFHLKQTKFICEPCDRYFLNGYQLRFHRERVHENKRPPKNKFCSYCGRAFSNNRVLENHVRTHTGERPFKCERCPAAFTQQQALKSHTRAIHKDRNK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
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90% Identity
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80% Identity
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