Basic Information

Gene Symbol
ZNF131
Assembly
GCA_951394285.1
Location
OX596136.1:3316779-3325709[+]

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 0.058 3.9 8.6 7.6 1 23 275 297 275 297 0.96
2 9 0.0026 0.18 12.8 1.3 1 23 328 351 328 351 0.97
3 9 0.001 0.069 14.1 0.2 2 23 356 378 355 378 0.95
4 9 0.49 33 5.7 0.1 5 23 385 403 384 403 0.86
5 9 0.0045 0.3 12.1 0.2 3 21 413 431 412 432 0.94
6 9 0.0071 0.48 11.4 7.0 1 23 444 467 444 467 0.96
7 9 0.00025 0.017 16.0 0.2 1 20 474 493 474 494 0.97
8 9 4.5e-06 0.0003 21.5 0.4 3 23 508 528 507 528 0.98
9 9 9.3e-06 0.00062 20.5 0.9 1 23 534 557 534 558 0.96

Sequence Information

Coding Sequence
ATGTCTGAAATATGTTCAACCTGCCTGTGCCAAGATAGAAGATTGATACCACTGGATATGGTGAAGTACGGATCGCTCTTCGatgaaaaagCTCATCCACAAAcattatcaaaactaaaatgctGCGATACTGAATCAAGAGATATTTGCTGTGATGTAAATGACTCTGAAGAAGACAACAAACCAATCAGTTCAGAAGTGCCTATAATAAACGACGACAATCTACTACCCATAGACAATATCAAATTTGAGATAGACTTTTCTGACGACAGCTTTGCAGATGAAATCGAAGACATACCAAAGAACTTAGTTAAAGATTCTGTTCTAACAGCCAATATTGGAAAAGATATAGTTAAGAATGAatcgaaaattaaaaatattctacCCATAGACAATATAAAATGTGAGATAGACTCTCCTGATGACAGCTTTGCTGACGAAACCGAAGACATACAAAAGAACTTAGTTAAAGATTATGTTTTAACAGTCGATATTGATAAAGATATCGTTAAGAATGAATCGAAAATTAAATCTCGAAAGAAAATAACATCTAAAGTTGTTAAGAAGAATCATAAACTTGCTATAGAGAGTGACAATCAAGTATCTCTTAAAACAAGGGATAAATCTACattaaataaagataattatacaatagttcatatgaatgatgatgagatGAAAGCTAAGAGGGAGGCAGACAATCAATCTCTGAAGCTAAGAGGGAGATGCAAGCATAAATGTGAGCTCTGTATATCCTGGTTCTTAGACAAAACTAGTTATGATCGGCATATGTTGACTAAACATTCTGAGAAAGCAGGTAAATACCAATGCCACATCTGCCACATACGTTTTATGCGCAAGAAAAACTGCAAAGACCACATTTCCGGTCACTACCAGAAGTACGTGTGTTCGTGCAACTTCGTCGGATATAGTTTGAGGGAAATGGTGAGGCACGAAGCGAATGAGCACGGAGTGAGGAGGTTTACGTGCGGAGTTTGTAGTAAGAAGTTTCCATCATGTGGAGTGTTAAAGTACCATCGTGCAACGGCCCACGTAGCCCCGGTTAAATGCGACGCGTGCGGCAAGATGTTCAGGGCTAAGAACTTACTCATTCTGCATATAAACTATAAACACAGCAATAAGCCGGTGGGCGAATGTCCCATATGTGGGGCAAAAAGGAAGAATATGGCTTCGCACATGTTGACACATAATAAGGCCAAGCCTGAAGAAGCGTATTGCGCGGAATGCGACCTCCGTTTTGCGTCCATTTCCAATTACAAGAACCATCTGAAATTTGCCGCGAAACATCGCTCCCCAGGGACACTCAAACACGTGTGTTCGTATTGCGACTTCAAGTTCCCCAGCTCTACGTGCCTTCGCCACCATGTTATGTCACGTCATCGGAAGGAACTACTGCCGTATCGATGTGACAAGTGTGACAAGGGTTTCGTGGCAAAATCCCGTCTTCGCGCTCACATCACCTGTTACCACGAGGGAGTTCCGAAGCCAAAGGACCGTATCTGTCATATCTGTGGACGTGGATTTGCGagtaaGTTCATGCTAGCCAATCACATCCGTGTCCACACTGGAGAGAAACCCTTTCGCTGCGAGCTCTGCGAAGCCGCCTTCAGCCAGAAAAGTTCACTTAACACCCATCTACGTGGTGTACATCATAAGCTGAACTCAAGGCCTTCTCGAGCCAGGCGATCTTAG
Protein Sequence
MSEICSTCLCQDRRLIPLDMVKYGSLFDEKAHPQTLSKLKCCDTESRDICCDVNDSEEDNKPISSEVPIINDDNLLPIDNIKFEIDFSDDSFADEIEDIPKNLVKDSVLTANIGKDIVKNESKIKNILPIDNIKCEIDSPDDSFADETEDIQKNLVKDYVLTVDIDKDIVKNESKIKSRKKITSKVVKKNHKLAIESDNQVSLKTRDKSTLNKDNYTIVHMNDDEMKAKREADNQSLKLRGRCKHKCELCISWFLDKTSYDRHMLTKHSEKAGKYQCHICHIRFMRKKNCKDHISGHYQKYVCSCNFVGYSLREMVRHEANEHGVRRFTCGVCSKKFPSCGVLKYHRATAHVAPVKCDACGKMFRAKNLLILHINYKHSNKPVGECPICGAKRKNMASHMLTHNKAKPEEAYCAECDLRFASISNYKNHLKFAAKHRSPGTLKHVCSYCDFKFPSSTCLRHHVMSRHRKELLPYRCDKCDKGFVAKSRLRAHITCYHEGVPKPKDRICHICGRGFASKFMLANHIRVHTGEKPFRCELCEAAFSQKSSLNTHLRGVHHKLNSRPSRARRS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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