Basic Information

Gene Symbol
-
Assembly
GCA_963920725.1
Location
OY987256.1:45586024-45587950[-]

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 11 0.00013 0.015 16.7 1.5 1 23 212 234 212 234 0.95
2 11 2.4e-05 0.0027 19.1 0.3 1 23 241 263 241 263 0.97
3 11 0.00015 0.018 16.5 3.3 1 23 269 291 269 291 0.97
4 11 0.00018 0.021 16.3 2.3 1 23 297 320 297 320 0.97
5 11 4.9e-06 0.00056 21.2 1.0 1 23 332 355 332 355 0.96
6 11 0.00033 0.038 15.5 4.4 1 23 365 387 365 387 0.96
7 11 0.0036 0.42 12.2 1.3 2 23 400 421 399 421 0.97
8 11 3.3 3.8e+02 2.9 0.1 1 8 427 434 427 440 0.84
9 11 0.00042 0.049 15.1 0.7 1 23 443 466 443 466 0.94
10 11 7.1 8.3e+02 1.8 0.8 3 23 476 497 475 497 0.86
11 11 0.00018 0.021 16.3 0.6 3 23 504 524 503 524 0.95

Sequence Information

Coding Sequence
atggcaGAAAAATTGTCACTAAAATTTGATTCAACAGTTTGTCGTATATGTTTAGAAACTGAGGGCCAAGTTTCTTTATTTGATCCTAAAGATAATGCTGAAAATTTCCGGTTTATAACACTGTTAGAGGCAAATGAAAATGATGGACTTCcacaatatttatgtataaaatgtcATGTTCGATTAAAAGTggcttattattttaaaacacaaGCGATTTCATCAAATACCCAACTTAAATCATATCTCATCGAAATCAATAAGAACTTTACAAAAATTGCTGGTAATTCAAACCCTTATGaagaattagaaaatgaaatagaacaatttaataatattttaccagataatgaaaaaattatatttggaaagGTAAAACATGATACTCGGGTACTAAGAGAAGATGACCCACTTGATGAAAATAACTTTGAATTTTATGATGCTGATGCGGATGATATTACagaacaatttgaaaataaagttgaatttcaaattgtaataCAGCCAAATAAAGAAATATCAATTTCTGATAGTTctaaaaaaactaaacaaaataagaAAGAAATTACTGTTAATAGAAGTAATCCACATACAATAATATCTAAGCATAGTCCACgtaaagtaaatgatacatttttatgttCGATATgcaaaaatacatttacaactgaattaaattttaaacgacATATGGAAATCCATTTAAAAAAGCGAGAATCATTTGATTGTAATATTTGTGGTAAATTATTTACTCAGCGTGCATCTGTTAAACAACATTTACTTATACATAGTGGTGAAAGACCATTTGCTTGTGATGAATGTCCAAAAACTTTCAGAAGATGTAGAACTCTTATGGGTCATAAGAAATCTCATAAAAAAGAGAAACTTTTTGAATGTGAACATTGTAAtctgaaattttctattaagaAATCTTTACTTactCATATAAATCGAGAACATAATGATGATGGAGGTGAATCTACTACTATTTTATATCCttgtgaaaattgtaataaaacttaTCGTTCAAAATATAGTCTTAATGATCATATATTAAATCAACATACATCTAAATCGCAAATAGCTGTTCAACATAAATGTAtagaatgtaataaaatattttattcaaaatataaattaaatagtcaTATGAGAAATCATTTACCAGAAACTAgtgaaactaaatataatattcaaagatGTTTACAATGTCCAGCTATATTTCATTCAAAAAGAACACTTAATTCTCATATGGAAGTTCatgattcaaatgaaaattacaaatgtaGTATTTGTGATGCGCACATAAgaagtgaaaatgaaaaatataaatgtttacatTGTGATGAACGTTTGATATCAAAGAGTGGCCTTAAATCACATATTgttaatgaacataaaaatacttttaaagaaTGGAATATATGTACTTCGTgtgatttaacatttttaacataTGATACATATTATGAACATGTTATACATAatcataacatttttaatgGTGATTGTAAAGAATGTGGTGCTTGTTTTGAAACTCAAGACGAATTAAATGAACATTCAATGGAACatgatgttattaaaaataatgaataa
Protein Sequence
MAEKLSLKFDSTVCRICLETEGQVSLFDPKDNAENFRFITLLEANENDGLPQYLCIKCHVRLKVAYYFKTQAISSNTQLKSYLIEINKNFTKIAGNSNPYEELENEIEQFNNILPDNEKIIFGKVKHDTRVLREDDPLDENNFEFYDADADDITEQFENKVEFQIVIQPNKEISISDSSKKTKQNKKEITVNRSNPHTIISKHSPRKVNDTFLCSICKNTFTTELNFKRHMEIHLKKRESFDCNICGKLFTQRASVKQHLLIHSGERPFACDECPKTFRRCRTLMGHKKSHKKEKLFECEHCNLKFSIKKSLLTHINREHNDDGGESTTILYPCENCNKTYRSKYSLNDHILNQHTSKSQIAVQHKCIECNKIFYSKYKLNSHMRNHLPETSETKYNIQRCLQCPAIFHSKRTLNSHMEVHDSNENYKCSICDAHIRSENEKYKCLHCDERLISKSGLKSHIVNEHKNTFKEWNICTSCDLTFLTYDTYYEHVIHNHNIFNGDCKECGACFETQDELNEHSMEHDVIKNNE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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