Basic Information

Gene Symbol
stc
Assembly
GCA_947095585.1
Location
OX352764.1:74840513-74844363[+]

Transcription Factor Domain

TF Family
zf-NF-X1
Domain
zf-NF-X1 domain
PFAM
PF01422
TF Group
Zinc-Coordinating Group
Description
This domain is presumed to be a zinc binding domain. The following pattern describes the zinc finger. C-X(1-6)-H-X-C-X3-C(H/C)-X(3-4)-(H/C)-X(1-10)-C Where X can be any amino acid, and numbers in brackets indicate the number of residues. Two position can be either his or cys. This family includes Swiss:P40798, Swiss:Q12986 and Swiss:P53971. The zinc fingers in Swiss:Q12986 bind to DNA [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 14 2 4.1e+04 -4.2 1.6 15 19 445 449 444 449 0.81
2 14 0.061 1.3e+03 0.7 0.2 4 10 478 484 477 485 0.95
3 14 1e-06 0.021 16.0 14.5 4 19 492 507 490 507 0.91
4 14 5.5e-05 1.1 10.5 14.1 3 19 545 561 533 561 0.86
5 14 1.2 2.5e+04 -3.4 1.6 7 13 565 571 565 572 0.78
6 14 1.3 2.7e+04 -3.5 0.8 6 10 591 595 590 595 0.85
7 14 1.3e-07 0.0027 18.8 18.6 1 19 601 619 601 619 0.98
8 14 4.7e-05 0.96 10.7 15.5 4 18 667 681 660 682 0.86
9 14 0.0072 1.5e+02 3.7 9.3 1 11 722 732 722 733 0.96
10 14 9.2e-10 1.9e-05 25.7 14.2 1 18 749 766 749 767 0.97
11 14 2 4.1e+04 -4.2 1.2 6 10 796 800 795 801 0.65
12 14 2 4.1e+04 -8.3 11.2 4 18 808 823 803 824 0.75
13 14 1.8e-07 0.0036 18.4 10.1 1 16 860 875 860 882 0.87
14 14 6.3e-07 0.013 16.7 12.3 1 19 892 911 892 911 0.97

Sequence Information

Coding Sequence
ATGTCATCTGATTCGCAGTCGAACAGCCAACAGCAGCAACAATATATGCCTTGTAGCTTTGATGCAGAAGCCGCAGCTAATGTTTCAACAGCCAACAATAATAACTATGTGAACTTCAATCAATTCATTATGCAGCATAACATGCTTGGTAATGGAAGTGGAGTCAACAGTGATTCTTTATCATCTGAAGGAGGAATTTCTGCTGCAGCGTTTCAGTCAATCTCCGCTGTCAATAATACAAATCCATTTAATCAACAGCTGTATCCGGATGACAGCAGAACTTTCGGCATACAATTGCCATCTGTAGGAAACAACACATCTGCTGCAACAGACTTTTGCAACGCCAGCAGCAACAATCCGTTTGATTTTCATAGTAGCTCTGTAGATAATTTGTATTTAAATAATCCGTTTGCTGATTACCTAACATCCCCATTTAACTATTTTGGATCAAATCTACATGCGACAGCTCCTGAATTCGTGCCTAGATTTAATGGACTTTCGCTCAACGATAAGGTTGGTGATCCTGCATTGCATATTGGGAGTCTACAATCCGATTTGTTTAATTCCAATTTGACGACAGCCCCGGGTGCCGCTGAATCATTAGTAGATTTTCCAGTACCAGTAGTTGCATCAATAATAGCTGCTCAACAAGTAGTTAACGAATCGGTGGAGCCGTTGCGGTCGTTTGATTCTCCTTCCTTGTTTGCCTCTGCGAATTCATCTAATCGATGCACCGGCGCAACAAGCAAGCCTTTTCAAATTCATCAAACTGCCGATACTCCCACCAACTCCAATATTCGACTTGAAAATTCCAGTAATCATTTACGTTCCGACATACGAGCATTGAATGGATTTAATAGCTTAACTTCGAATTCCAACTTTAATTCTCCATCGTCAACATCTCGCTCTGAGCGCCGATATCAAAATGGGCGCAATTCTGATAATCACCGTGGAGACCATGGCCATCAGCGCAATCAACGTTACGACAACAATCATAGGAGCAACAAACGACGGGACGATTGGAATAGAAATCGTGATCGAGCAAATGGGTTCCGAATCGAAGATAAATTATCACAGGACAATGGCAAGGAGAGTCCAGTACCATCCCCCGAAAAAAAATCACCGAAAAATCTTCACCCAGAGAACGGAAAACTATCACAACGTGAAAAACTTATTCGGGAAATTGAAGCCAGACGTTTGGAATGCCTGGTTTGTGTTGAACCGATCAAAGGGCACAATCACGTCTGGTCATGTCACAATTGCTATCACATTCTCCATTTGAGTTGCATTACCAAATGGGCATTGAGTTCCAAATCAAATGATGGTTGGCGTTGCCCAGCTTGCCAAAATGTTGTAAAAGATGTGCCACGTGATTACTACTGTTTTTGTGGCAAAGTTAGAAATCCTCAATTCAACCGGAATGACACAGCGCATAGTTGTGGCGAGGTGTGCGGTCGCATAGAAGGATGTGCTCACGCTTGCACTTTGTTGTGTCATCCAGGACCATGTCCGCCATGCCAAGCGAACGTATCACGCGAATGTGGCTGTGGCAAGTCAAAAAAAACCATGCAGTGTTGCCTTAAGGATACCATCGAATGTGGTTCCACATGCGGAAAGCTGCTAAATTGTGAGCTGCATACATGTACCGACAAGTGCCACGATGGTAAATGCAGCGCCTGCACACAGAAGGTAGAGCAGAGATGTCACTGTGGCAAGCAAGAAAGGCAAGTAGCATGTACGCGGGATTCACACGAAAAAAAGACCTACTCCTGTAACAAACCGTGTGGGCGCGATTTATTATGCGGTAATCACAAATGTAAGGATTGCTGTCATGCCGGCGAATGCCGCCCTTGTAAAATGAGTCCAGATGTAGTAACTTCGTGCCCGTGTGGTAAGATGCCAATTGTGACTGGAGCAAGGAAGTCATGCCTGGATGTGATCCCAGTCTGTGACGGCATTTGCGGGAAGACTTTACGGTGTGGAAAAGCAGCTCACCCACATCACTGCATCAGCAAGTGCCACTTGGGCAACTGCCCACCATGCAACAAGCAGACAGCTGTTAAGTGCCGATGTGGTCACATGGATCAAATGATTAAATGCCGGCAACTGTCCACACGTGCCGACGATGCTCGATGCAAGAAACGTTGCGTAAAGAAGCGTAGTTGTGGGAAACACAAATGCAACCAGGAGTGTTGTATCGACATTGATCACATCTGCCCAATGTCTTGCAACTATACATTGTCGTGTGGTAAGCACAAATGCGACCAATCCTGTCATCGGGGCAATTGCCCTCCTTGTTATCGATCATCATTTGAGGAGTTATTTTGCGAGTGTGGGGCTGAAGTTATATATCCACCAGTGCCATGCGGCACAAAGCGACCACCATGTACTCGACCCTGCTCGCGACAGCATCCATGCGATCACACACCGCAACACAACTGCCACTCGGCGACTACATGTCCGCCGTGTATGATGTTCACCACCAAATGGTGCTTCGGCCAGCATGAACAGCGCAAAACCATTCCATGTAGCCAGGCAAGTTTCAGTTGTGGTCTTGCGTGTAACAAGCCTCTGTCATGCGGCCGTCACAAATGTGTAAAATCTTGCCATGAGGGCGCATGTCAAGCAGCAGGAGAAGTCTGCAAGCAGAATTGTACCACAGCACGCGCCGCTTGCGGGCACAAATGTATGGCATCGTGCCACAATGGCGATTGTCCAGATACACCATGTAAGGAGATGGTTGAAGTCACCTGTGAGTGTGGAAATCGCAAGCAAATGCGTTCATGTCATGATTTCGCACGGGAATATCGTCGCATAGCGACTGCTCAGCTGGCCTCGTCAATGGCCGAAATGCAACGAGGCAACTTCCTCGAACTGAAAGACATTCTCGGACCCGTTAAGATGAACAATAACAAAGCCCTCGATTGTAATGAAGAGTGCCGCCTTATTGAGCGCAATCGTCGTCTTGCTATCGGTTTGCAAATTCGCAATCCTGATCTCCCACAAAAGCTTCTCACCAAATATTCCGATTTCATACGTAGCTTTGCAAAGCGCGATCCTGCTCTGGTCAAGTCTATACACGATGCATTAACCAAACTTGTTAAACTGGCGAAAGAGAGTAAACAGAAATCTCGTAGCCATTCATTCCCAACAATGAACCGTGAAAAAAGACAGCTAGTTCATGAAATGTGCGAAATGTTTGGTGTAGATTCGGTCGCGTACGACGCAGAGCCGAATCGTAATGTTGTTGCCACTGCACACAAGGAAAGGTCGTGGCTGCCTGGAACTAGCATTATGGAAGTTATGCAACGAGAGAGTGGACAACGACGAGTTCCCGTCCCCACTAACAATGCATGGGGAGTAAAGAGATAG
Protein Sequence
MSSDSQSNSQQQQQYMPCSFDAEAAANVSTANNNNYVNFNQFIMQHNMLGNGSGVNSDSLSSEGGISAAAFQSISAVNNTNPFNQQLYPDDSRTFGIQLPSVGNNTSAATDFCNASSNNPFDFHSSSVDNLYLNNPFADYLTSPFNYFGSNLHATAPEFVPRFNGLSLNDKVGDPALHIGSLQSDLFNSNLTTAPGAAESLVDFPVPVVASIIAAQQVVNESVEPLRSFDSPSLFASANSSNRCTGATSKPFQIHQTADTPTNSNIRLENSSNHLRSDIRALNGFNSLTSNSNFNSPSSTSRSERRYQNGRNSDNHRGDHGHQRNQRYDNNHRSNKRRDDWNRNRDRANGFRIEDKLSQDNGKESPVPSPEKKSPKNLHPENGKLSQREKLIREIEARRLECLVCVEPIKGHNHVWSCHNCYHILHLSCITKWALSSKSNDGWRCPACQNVVKDVPRDYYCFCGKVRNPQFNRNDTAHSCGEVCGRIEGCAHACTLLCHPGPCPPCQANVSRECGCGKSKKTMQCCLKDTIECGSTCGKLLNCELHTCTDKCHDGKCSACTQKVEQRCHCGKQERQVACTRDSHEKKTYSCNKPCGRDLLCGNHKCKDCCHAGECRPCKMSPDVVTSCPCGKMPIVTGARKSCLDVIPVCDGICGKTLRCGKAAHPHHCISKCHLGNCPPCNKQTAVKCRCGHMDQMIKCRQLSTRADDARCKKRCVKKRSCGKHKCNQECCIDIDHICPMSCNYTLSCGKHKCDQSCHRGNCPPCYRSSFEELFCECGAEVIYPPVPCGTKRPPCTRPCSRQHPCDHTPQHNCHSATTCPPCMMFTTKWCFGQHEQRKTIPCSQASFSCGLACNKPLSCGRHKCVKSCHEGACQAAGEVCKQNCTTARAACGHKCMASCHNGDCPDTPCKEMVEVTCECGNRKQMRSCHDFAREYRRIATAQLASSMAEMQRGNFLELKDILGPVKMNNNKALDCNEECRLIERNRRLAIGLQIRNPDLPQKLLTKYSDFIRSFAKRDPALVKSIHDALTKLVKLAKESKQKSRSHSFPTMNREKRQLVHEMCEMFGVDSVAYDAEPNRNVVATAHKERSWLPGTSIMEVMQRESGQRRVPVPTNNAWGVKR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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