Basic Information

Gene Symbol
-
Assembly
GCA_947568825.1
Location
OX387616.1:4487642-4491753[+]

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 10 0.047 3.9 8.8 3.1 1 23 220 243 220 243 0.95
2 10 0.44 36 5.7 1.3 3 23 270 291 268 291 0.90
3 10 0.14 12 7.2 2.2 3 23 318 338 317 338 0.92
4 10 0.0014 0.12 13.5 1.1 1 23 342 364 342 364 0.94
5 10 0.00033 0.027 15.5 0.2 2 23 371 393 370 393 0.96
6 10 0.56 46 5.4 2.4 3 23 400 421 398 421 0.94
7 10 2.6e-05 0.0021 19.0 2.5 2 23 429 451 428 451 0.96
8 10 2e-05 0.0016 19.4 0.3 1 23 460 482 460 482 0.98
9 10 2.1e-06 0.00017 22.4 2.3 1 23 488 510 488 510 0.98
10 10 0.71 58 5.0 2.9 3 23 518 538 516 539 0.92

Sequence Information

Coding Sequence
ATGTCAACACAGCTGCCTGATCACAAAACTTTAAGTGTGTGTTGCTGCTGCCTGGAGCTTGCTTGGAAACAGTGTCTATGGAAGCCATGCACATGGATGGACCGCCAAGAAACCTATGGGGAGATGTTGCAAGAATGCTTTGCAATTTTGTATCCAAATGGGGAAAATAAAAGGGTTCTAATATGTGAGTTGTGCATTACACAGCTGCGCAGCGCCCTGAACTTCAAGCGACAGGTGCTGACCTGCCAGGAGTTATTGTTGAACAATGATATAGAACTACAAAAAATGACAAATTTGAATATGAATTCTATGCCAAAGGGCGCGGAGGCGTATGACGGCTGCGAAAATTATACTGATGATGATCAGTTGAGCGGTTTCAGTCATGGGATTTCTTCTCCAATGGATCAAGAATCACTACATGTTATCAACGATGTTGCAGTAGAAATTAAATCAATAGAGAACGAACGAAATATCACACAACCAAGTTCTTACAACAAGGAAAATGAGGAAAATAAAAAGAATGTAAAAAAGAAACCGAAAGAAAAACTAAGCAAACAAGGTAAAAAACGTTATGCCAATTATCTGAAACCACGATTAAATGTCTGTTTGCTTCTGGAGAATTCTACACTAATGCCGTTCAAAGCAGACAAAGGATGTTTTCTTTGTTTCTACTGCGTCAAACAGTTCGCCTTATTCGATGAGTTGAAACAGCACACAATGACGTGTCATACAAACGTCTCCTCCAAGGACATTATGAAGCGACTTTATAAACCGGAAAGAGTCAGGGCGGAGGCGAGCAATATCAATTGCAAGATATGTCATCACAACTTGGATACTGTCAGTAGCCTTGTGGAACATTTGGTGCAAAGACACTACATACAATTCAGTGACCATGCGAGGAAGCCGGTCGACTGCATTATTGCGTACGACTTAAGCGACGGTAAAAACAGATGCATCATCTGCAGAAAAGAGTTCTTTTTCTTCAAATCTTTATCTAAACACATGAATGAGCATACCACCAATTATGTGTGTCCCATATGTGGCAAGTGCTTCTTGCTGCCGAAAAGATTGCAGACTCATAAAAACGCACACAAAACCGGACCGTCCGTGGAATGCGAGCAGTGCGGGAAGAAGATGAAGAACGAATACTTGCTTAAAGTCCACATTCGTAACGTTCACAACAAACCTAAGTACGGGTGCACTGTTTGCAATTTAAAGTTTTGCACGTTCAGAGACAGGCTGGCGCATTTGGATAAAAGTCACGGGATGAAGACGACCAATTTGAAATGTTCGCAATGCGACAAGTCGTTTAAGTTGCCGCAGACGCTGAGCGCTCACATGAGACACACACATATGAATATACGGAACGATGGCCACTACCCCTGCAACCTGTGCTCCCGAGTTTTTAACAAGAAGACCGGTCTGAAGGCACATTTATTGGTGCACACGAAAGAGAAGAATTTCGAGTGCCACGTGTGCAATAAAAAATTTGGTCGAAACTCGACATTGTCGGAGCACCTGCGCATCCACGCGGACGAGCGGCGCTGGGCGTGCCGCGCGTGCGGCGCCGCCTTCGTGCACAAGTGCAGGCTGCACGCGCACGTCGCCGTGCACCACAAAGGCTCACGCGTTAGTGACCTTGTGGTTTGCAGAAAACGTGTAAGATGA
Protein Sequence
MSTQLPDHKTLSVCCCCLELAWKQCLWKPCTWMDRQETYGEMLQECFAILYPNGENKRVLICELCITQLRSALNFKRQVLTCQELLLNNDIELQKMTNLNMNSMPKGAEAYDGCENYTDDDQLSGFSHGISSPMDQESLHVINDVAVEIKSIENERNITQPSSYNKENEENKKNVKKKPKEKLSKQGKKRYANYLKPRLNVCLLLENSTLMPFKADKGCFLCFYCVKQFALFDELKQHTMTCHTNVSSKDIMKRLYKPERVRAEASNINCKICHHNLDTVSSLVEHLVQRHYIQFSDHARKPVDCIIAYDLSDGKNRCIICRKEFFFFKSLSKHMNEHTTNYVCPICGKCFLLPKRLQTHKNAHKTGPSVECEQCGKKMKNEYLLKVHIRNVHNKPKYGCTVCNLKFCTFRDRLAHLDKSHGMKTTNLKCSQCDKSFKLPQTLSAHMRHTHMNIRNDGHYPCNLCSRVFNKKTGLKAHLLVHTKEKNFECHVCNKKFGRNSTLSEHLRIHADERRWACRACGAAFVHKCRLHAHVAVHHKGSRVSDLVVCRKRVR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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