Basic Information

Gene Symbol
nfxl1
Assembly
None
Location
KK962349.1:263665-269729[+]

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 0.0081 2.7e+02 2.6 9.5 12 19 36 43 35 43 0.89
2 8 0.056 1.8e+03 -0.1 1.1 8 13 48 53 47 54 0.77
3 8 0.25 8.1e+03 -2.2 0.3 6 10 69 73 68 74 0.77
4 8 4.9e-08 0.0016 19.2 21.4 1 19 79 97 79 97 0.99
5 8 0.017 5.6e+02 1.5 0.9 6 10 122 126 121 127 0.91
6 8 1.8e-09 6e-05 23.8 17.6 1 19 132 150 132 150 0.99
7 8 0.21 6.8e+03 -1.9 0.4 5 10 174 179 174 180 0.73
8 8 2.1e-06 0.07 14.0 9.1 1 16 185 200 185 201 0.94

Sequence Information

Coding Sequence
CTGCTCTGTGTACAGAGATGGGCCAAAGACAGCATAGCTCATCAGAAAGCTGCCCTGGATGATAGACCAGCTGGCCATAAATCATCATTTACACCAACTTCATGTGCAGGGCCATGTCCACCGTGCCCAAAAACAGTAAAGAGCACATGCCACTGTGGCAAGAGTGCGCCAAGACCACAGCGATGCAGCAATAAGCATTGGTCGTGTGCCCAAGCTTGTGGACAGCTGCTAGGCTGTGGCAGGCACCCTTGTGAGCAGCATTGCCACACCGGTCCCTGCCCCGAGTGTCCTAGACGCTCTACTCAAGCTTGCATGTGTGGCCGAGAACAGCAGCTACGAGAGTGTGCCAGTCCTAGCTGGCAGTGTCAACAGGTGTGCGGCAAGCGCCTTTCGTGCGGACACCACAAGTGTGAACTGGTGTGCCACAAGGGTCCCTGTGGGGACTGTCCTCGCAGTCTGCCCCGGCCATGTCCGTGTGGCAAGTCTCAGCAGATCCTGCCCTGCACACAGGACGTGCCGACATGCGGAGACACGTGCGGCCGAACTCTGGACTGTGGTATACACCAGTGCTCACAGCGCTGTCACAAGGACAAGTGTGGTGTT
Protein Sequence
LLCVQRWAKDSIAHQKAALDDRPAGHKSSFTPTSCAGPCPPCPKTVKSTCHCGKSAPRPQRCSNKHWSCAQACGQLLGCGRHPCEQHCHTGPCPECPRRSTQACMCGREQQLRECASPSWQCQQVCGKRLSCGHHKCELVCHKGPCGDCPRSLPRPCPCGKSQQILPCTQDVPTCGDTCGRTLDCGIHQCSQRCHKDKCGV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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