Basic Information

Gene Symbol
zas1
Assembly
GCA_948473455.1
Location
OX419590.1:13598829-13611702[-]

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 3.3 2.4e+02 3.0 1.8 1 23 222 244 222 244 0.96
2 10 0.0054 0.39 11.8 0.3 2 23 270 292 269 292 0.96
3 10 5.7e-05 0.0041 18.0 1.2 1 23 312 334 312 334 0.98
4 10 0.0027 0.2 12.7 0.3 1 23 338 361 338 361 0.95
5 10 0.0018 0.13 13.3 1.2 3 23 366 387 365 388 0.96
6 10 0.0055 0.39 11.8 0.2 3 23 396 417 395 417 0.91
7 10 3.6e-05 0.0026 18.7 0.7 2 21 425 444 424 447 0.95
8 10 3.6e-05 0.0026 18.7 0.7 2 21 461 480 460 483 0.95
9 10 0.0023 0.17 13.0 7.0 1 23 489 511 489 511 0.98
10 10 8.4e-06 0.0006 20.6 2.1 1 23 517 540 517 540 0.96

Sequence Information

Coding Sequence
ATGGTGTTGAATGAAGCATGCCGCTGCTGCCTCTCCGAGACTTGCTTCAAGGATATTTCCAATGAGTACATCCTGAATGGCTGTAGAGAAGTATACGAGGAAATGTTAATGGATACATACAACATACAGATCTCTTATCAAGCCGGTAGCAGCAGTCGGTTCATCTGTGAGGATTGCATTGTGAGGCTCCGCGATGCTGCTGCCTTCAAAAAACAGGTCCTTCAAGTGGAACAGACCTTGACCAAGGGAATAGCTCTCAAAGTCACAAGTGACATTGTAAACTCAAAACATGAGCCGGATGACTTTTTAGACTACATAACGGGAGAGTTTGAATATGAGCCGGTTCAAAAAGATGATGACCACAGTTACGATGATACTGCTTTCTGGCCCAATGAAGATCTGGATCATGATGATGACAACATTATTATGATCAAAACGGAGCAAGAAGAAGATATACCGTTACAAGTGTTGCAGAAAAAAAAAGTAGCAAATAAAACAAGTAAAATCATCAAAAGTAAGACAGACACGCCTCTAAAGAAAAAGAAAAAGAAAGATGAACAAAACGCGTGCAAGAAAAATCTAACGCAAATAGGACGCAAAGAAAACTCACTAAAACTGATAAGCAACTCTAACGTCTGCCTATTCGACTCCATGAAGACCAAATACCGCTGCTTTTTCTGCAGAAGCAGCTATCTAAATATCAAAGAACTAAGAGAGCACACAATTACACACAACGCAACATATTTAAAAATGTGCCTTAACAGATTGCAAGGGACCTCATTCAAATGCGTCGATATATCTAACCTGACTTGCAAGATATGTTCTGAAAATGTTAAGGACTTAGTAGATCTTAAAGACCATTTGACGACAAAACACGAAATTAAATTCAACGGTGAAGAAAACATGTTGATTCCGTACAGACTCGAGGAGGGGTTTGAGTGTGTTATGTGTGAGCAAAGTTTCAATACGTTTTACAAGCTCTCTGTTCATATGAACACGCACTTTACGAACCATGTGTGCGAAGTGTGTGGCGCGTCCTATATCAACCGTCTCAGCCTGAGGATGCACGTAGCGCGCCGCCACCGCGCCAGCGCGTGCGCGCACTGCCCCCTATCGTTCCCCAGCGCGTACCTGCGCGTCAAACACATGCGCAAGGCGCACCACGCGGCACAGTCCAAGCGCTACTGCCTGCTCTGCGGCGAGACCTTCAAGTACACATACTTGCTGGAAGAGCATAAGATACAGGAACATGGTAAAAAGCGTCCGATAACGGTGTGCCCCGAGTGCGGGAAAACGTTCCTGTCGCCCGTCAACCTGCGCACGCACATGCGCTGCGTGCACATCAAGGTAACTAGCATCGGTAAAAAGCGTCCGATAACGGTGTGCCCCGAGTGCGGGAAAACGTTCCTGTCGCCCGTCAACCTGCGCACGCACATGCGCTGCGTGCACATCAAGGAGCGGAATCACTCGTGCACTCACTGCGGTATGAGTTTCTTCACTTCGTTCGACAGGCGGCGCCACGAGCGAACTCACCAGGACATCAGAATGTTCGCGTGCAGCTATTGCGACGGCCGATTCAAGTCGAAGGATTCCTTGCGGCGGCATCTGAAGAGACAACACGCCCACCTCTACAATATTTGTACATAA
Protein Sequence
MVLNEACRCCLSETCFKDISNEYILNGCREVYEEMLMDTYNIQISYQAGSSSRFICEDCIVRLRDAAAFKKQVLQVEQTLTKGIALKVTSDIVNSKHEPDDFLDYITGEFEYEPVQKDDDHSYDDTAFWPNEDLDHDDDNIIMIKTEQEEDIPLQVLQKKKVANKTSKIIKSKTDTPLKKKKKKDEQNACKKNLTQIGRKENSLKLISNSNVCLFDSMKTKYRCFFCRSSYLNIKELREHTITHNATYLKMCLNRLQGTSFKCVDISNLTCKICSENVKDLVDLKDHLTTKHEIKFNGEENMLIPYRLEEGFECVMCEQSFNTFYKLSVHMNTHFTNHVCEVCGASYINRLSLRMHVARRHRASACAHCPLSFPSAYLRVKHMRKAHHAAQSKRYCLLCGETFKYTYLLEEHKIQEHGKKRPITVCPECGKTFLSPVNLRTHMRCVHIKVTSIGKKRPITVCPECGKTFLSPVNLRTHMRCVHIKERNHSCTHCGMSFFTSFDRRRHERTHQDIRMFACSYCDGRFKSKDSLRRHLKRQHAHLYNICT

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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