Basic Information

Gene Symbol
Sall1
Assembly
GCA_030157275.1
Location
CM058062.1:20364432-20377015[-]

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 13 1.3 1.1e+02 3.9 4.4 1 22 388 409 388 412 0.90
2 13 6.5 5.3e+02 1.7 0.7 2 19 469 486 468 492 0.84
3 13 2.2e-05 0.0018 19.0 0.7 2 23 500 522 499 522 0.95
4 13 0.00082 0.067 14.0 0.4 1 22 527 548 527 551 0.90
5 13 0.0035 0.28 12.0 0.6 2 23 564 586 564 586 0.98
6 13 1.1e-05 0.00094 19.8 0.5 1 22 591 612 591 612 0.98
7 13 5.2 4.2e+02 2.0 0.8 2 19 626 643 626 647 0.83
8 13 0.00025 0.02 15.6 0.5 1 23 664 685 664 685 0.98
9 13 5.3e-05 0.0043 17.7 0.3 1 23 691 713 691 713 0.97
10 13 0.00079 0.064 14.0 0.8 1 23 730 752 730 752 0.95
11 13 0.0059 0.48 11.3 0.7 1 23 787 809 787 809 0.96
12 13 0.18 15 6.6 6.6 1 23 815 837 815 837 0.98
13 13 0.0063 0.51 11.2 2.4 1 21 843 863 843 868 0.93

Sequence Information

Coding Sequence
ATGATCGGGGACTACGACGATGACACCCATTTCTGTCTCAAGTGTCATGCTACGATCATCGGTTTGGATAACTATGTCGCTCATCGGAAAGAAGGCTGCTCGAAGACGGTCGACATTCCCAAGTCTCCTCTTCCGAGTCAACTTCTTCCGGATGATTCTTTTAATCTCAAAGCTGATgactttttctcttctttgGAGCTTCAGAGTAGCGCGAAAAAACTTACTCCTTCGACGTCGGGGAAGAACTTTAGCGGTGTTCGCACGAGGAGCAAAACCACGGCCGTGATCCAGTCCCACAAAGAGATCCCGCAGTCGAAATCGGGGAAAAACGTCTGGATCGGTGGCCACCAACTCAAGCTAGGACACGGCGATAACCAATCGAAGCTCATAAAAGCCGTCGATAATTTAGAAAGACGGAAAGAAGATCCTCTCAAGATCAACGTGTACGAAGAATCGGACGTCGAGTCTGAAGAGTACGAGTACGAGGACGAAACGTCGGACGAAGACCACGATGCTCCTCCTAGGAACCACACGGGAGGGAAATGGAAGCCGTCGTCTCCCATTCAGTGGCATTGGAACGCACCGCCTCCTAGTCATACCGGTGGGAAATGGAAACGTACCTCGCCACCCCCTTCACACACCAAAGGCAAATGGAAACCATCGTACCCGCTCTCGCCTAAAGAAACCTACGATTTCCCACCCCCGACCTTCACTGGAAGCAAATGGATACCGGAAGATCTCAAGAAGTCGAAGATCACCGATGACTCCCCCTTTCGGAAATCTAGCGGTACAGTTCAGTACTGGTGCCGCCCCTGCAACCGGCGCTTAGCCTCCAAAGTGGTGTACGAACGACACCTCAAGTCCGAGCTCCACTTCAAAAGAACTTTACACGATAAAGAGTTCGATGACCACCTGGGGATGGTCACCGAGAAGCGtcataaaaagaaagaaactaTGACTCTTATCGctaaaacgaaaacaaaaaaacgcaACCGTAAGAAGATCTACGTCAAGTGTCAAGTGTGCAACTCGAGAGTGACCAAGAACTTGATGGGCAAGCACTTGATTTCGCACTACCATTGTCGAAAAGGCGACATTTCAACGGCCGTGGCTCAAACCATGGTCCTCGACCACATCGAAGAGATCGTCCTTCAAAGTCCCTTCCAATGTGGACTGTGCAAGTTCTATTTCAACCACCACAAAGACTTCCTCGAGCACTGGCTCTCCGAATACCACTCGTCGCGAGCCGAGTCTCGCGGTGGCTACTTTTGGTGCTCCTTGTGCAAGTTTAAAGACCCCAGCACCTCAACAATGTACACGCACTTAACATCCGAAGAACACGAGGTCGTGGTGTCCGTCATCAACCGCTCGGTGCCCATCGTCGTCAAGAAAGTGAACCCGATGAAGTGCCCCCAATGCGAAGAAGAGTTTCTTCTTAACATCGCCCTGAAGAAGCACTGTCGCAACGAAGGACACAGCTGCCCGAACTCGAATTTAGTCTGCGAAAAATGCAACCAAGTCTTCCGATCGAACATCTCTTTAAAACGTCACAGAATGTCAGTTCATGGTGAAAGCGTCTTCATTTGCAGCATCTGCGACCAGAATTTCACCACCAAAGAGGAAGCGCGAGTCCACAGGAACAGCAGCGACCACAGATATAAAGTGGAGGCGACCAAGAAACAAGAACGGAAGTGCGATTACTGTTCCGAGATCTTTCAGAGTCTTCAAGGTCTCAAAGAGCATCTTCAGACGAAACATCCCGAGTTCGATTACAAATGTGGACATTGCGGGACCTCGTTCACGTTCCCTCAGGAGTTATCGGTGCACTTGAGGACCAAGTCTTGCAGCTTCAAGGAGAGTTTCGACGCCGCCAACTCCTGCGATAAGTGTCCTTTTTCTTCGTCGTCCACGTCCGAGTTGCTCTTCCATAAAGTTCTTCACACTGAACCTCTCGTCGTGCAGGGCTCCCAAAAGAAGCCCGTGGCTCAATACAAGTGTCCTCTTTGCGACAAGTTCTTCGTCAAAGCTTCTTTACAAGGCCATCTCCGCCTGCACACGAAAGAACGTCCTTTCGTTTGTTCCATCTGCAACAAAGGCTTCGTCCGGAAAAACAACTGGGCTCTCCACGTGAAGAACCACGAACTGAAAACGAAGCGAACCCCGAAACCGGAAGCTGGAAGTCGTCCCTTCCTGTGTTCAACGTGCGGCGCCAACTTCGCGAAAAAGAAAGTCCTGCAGCAGCACATGACGACCCATTCGGGCAAAACCTGCAAGTGCCCCAAACTGGGGTGCATTTTCGCCGCCCGAAACATGGCCGAGTTGAAGCAACACTTCAAGACGCATTCCGACGTCAAGAGCTTCGCCTGCGACCTGTGTGAATACAGAGGGAAAACAAAGCAACAACTGAAAAGCCATCTAACTGTCCACGATGGCTCCAAGAAGTATTCTTGCACCAAGTGCGCCTTCACGGCGAGGACGCTTTGCCATTTGAAAAGGCACACACGACTCCATACCGGATCCAAACCGTACGCTTGTCCGCATTGCGTCTATAAATGCAATACTTTGGAAAATCTTCGGAAACACGTGTTGGTGACGAATAAGCATCCGGGGAAATGCATCTACGAGTGCAAGTTTTGCGAGGATGGGCCGTTTCAGAGCAACTTtgccaaagaatttaaagtgcATTTGGTTAATCAACATCCTGAGATCTTCAAGACGGGGAGGGAGGCCACCACTTTTATTGCGGGAATTTATGACGAGCAGGATGACTGCACTGAGTTTCCCGAGAGTCAGGACGATGACGCGCAGGCTGATGCTCAGTCCCCGCCGAAGATCATCATCCTTCAACAGAGCGTGAAAGACCCCGTCGTGGGCGCGTCCACCTCCAAGTACAGCGAAGAAGCCAATCCCGACGAAATCTTCCCGATGTACATCGTGTCCAAGGATGACTCAGTCGGCGACAATTTAACAGAATCCTGGAATGTAGTCGGCAGCTACGACGTCGAAGAATCAGGTGCTTTAGTTCCTTTCAACAGCGATAACGTCCTTTTCCAGGGCCACTTCTAA
Protein Sequence
MIGDYDDDTHFCLKCHATIIGLDNYVAHRKEGCSKTVDIPKSPLPSQLLPDDSFNLKADDFFSSLELQSSAKKLTPSTSGKNFSGVRTRSKTTAVIQSHKEIPQSKSGKNVWIGGHQLKLGHGDNQSKLIKAVDNLERRKEDPLKINVYEESDVESEEYEYEDETSDEDHDAPPRNHTGGKWKPSSPIQWHWNAPPPSHTGGKWKRTSPPPSHTKGKWKPSYPLSPKETYDFPPPTFTGSKWIPEDLKKSKITDDSPFRKSSGTVQYWCRPCNRRLASKVVYERHLKSELHFKRTLHDKEFDDHLGMVTEKRHKKKETMTLIAKTKTKKRNRKKIYVKCQVCNSRVTKNLMGKHLISHYHCRKGDISTAVAQTMVLDHIEEIVLQSPFQCGLCKFYFNHHKDFLEHWLSEYHSSRAESRGGYFWCSLCKFKDPSTSTMYTHLTSEEHEVVVSVINRSVPIVVKKVNPMKCPQCEEEFLLNIALKKHCRNEGHSCPNSNLVCEKCNQVFRSNISLKRHRMSVHGESVFICSICDQNFTTKEEARVHRNSSDHRYKVEATKKQERKCDYCSEIFQSLQGLKEHLQTKHPEFDYKCGHCGTSFTFPQELSVHLRTKSCSFKESFDAANSCDKCPFSSSSTSELLFHKVLHTEPLVVQGSQKKPVAQYKCPLCDKFFVKASLQGHLRLHTKERPFVCSICNKGFVRKNNWALHVKNHELKTKRTPKPEAGSRPFLCSTCGANFAKKKVLQQHMTTHSGKTCKCPKLGCIFAARNMAELKQHFKTHSDVKSFACDLCEYRGKTKQQLKSHLTVHDGSKKYSCTKCAFTARTLCHLKRHTRLHTGSKPYACPHCVYKCNTLENLRKHVLVTNKHPGKCIYECKFCEDGPFQSNFAKEFKVHLVNQHPEIFKTGREATTFIAGIYDEQDDCTEFPESQDDDAQADAQSPPKIIILQQSVKDPVVGASTSKYSEEANPDEIFPMYIVSKDDSVGDNLTESWNVVGSYDVEESGALVPFNSDNVLFQGHF

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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