Basic Information

Gene Symbol
stc
Assembly
GCA_035078785.1
Location
JAWNPV010064867.1:1-601[+]

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 8 0.65 5.3e+03 -1.6 1.6 15 19 9 13 8 13 0.82
2 8 0.021 1.7e+02 3.2 2.5 4 11 42 49 41 50 0.92
3 8 1.6e-07 0.0013 19.5 15.1 1 19 54 71 54 71 0.94
4 8 0.33 2.7e+03 -0.7 1.2 6 10 97 101 96 101 0.90
5 8 1.3e-07 0.001 19.8 14.1 1 19 107 125 107 125 0.97
6 8 3.1 2.5e+04 -3.7 3.9 7 13 129 135 129 136 0.75
7 8 4 3.2e+04 -4.4 3.2 6 10 155 159 154 160 0.60
8 8 4.1e-10 3.3e-06 27.8 14.8 1 19 165 183 165 183 0.98

Sequence Information

Coding Sequence
TCCAAATCAGAATCCGGCTGGCGGTGCCCAGCCTGCCAGAATGTACTCCTAGACCTACCTCGCGAGTATTTCTGCTTTTGTGGCAAGCAGAAGAATCCATCGGTGACCAGAACAGAGTTGCCTCACAGCTGTGGCGAGGTTTGCTGCCGTATCGAGGGCTGCAGTCATGCCTGCACCTTGCTCTGCCATCCCGGGCCTTGTCCTCCCTGTCAGGCCAATGTTCAGCGCAGCTGCGGCTGTGGACGCACCAACCGTACCATGCAGTGCGCCATGAAGCCCGACTTGCAGTGCGAGGCGGTTTGCGATAAGGTGCTCAACTGCGGCGAGCATCGGTGTGTGGAAAAGTGTCATACGGGCAAGTGTGGCGCCTGCCAGGAACAGTTGGAACAACATTGTCACTGTGGCAAGCAGGAGCGTCAGGTGCAGTGTACCCGCGAGAGCCAGGACAAGCGCACGTATTCGTGCAAGGAATGCTGTGGCAAAGCCTTGCCCTGTGGCAATCACAAGTGCAAGGATTCGTGCCATGCCGGTCCCTGTCGGCCCTGCAAGCTCAGCCCTTCGCAGATCACCAGCTGCCCCTGCGGTAAAGTGGCCGTGCTCG
Protein Sequence
SKSESGWRCPACQNVLLDLPREYFCFCGKQKNPSVTRTELPHSCGEVCCRIEGCSHACTLLCHPGPCPPCQANVQRSCGCGRTNRTMQCAMKPDLQCEAVCDKVLNCGEHRCVEKCHTGKCGACQEQLEQHCHCGKQERQVQCTRESQDKRTYSCKECCGKALPCGNHKCKDSCHAGPCRPCKLSPSQITSCPCGKVAVL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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