Basic Information

Insect
Nebria ingens
Gene Symbol
-
Assembly
GCA_018344505.1
Location
JADQWA010000115.1:677370-680645[+]

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 9 0.0024 0.2 12.2 1.5 2 23 205 226 204 226 0.96
2 9 1.6e-06 0.00013 22.2 0.3 2 23 247 269 246 269 0.95
3 9 0.001 0.085 13.4 0.4 2 21 290 309 289 310 0.94
4 9 0.0009 0.073 13.6 0.9 2 23 339 360 338 360 0.96
5 9 1.8e-05 0.0014 18.9 1.4 2 23 370 391 369 391 0.97
6 9 1.4e-05 0.0011 19.3 2.3 1 23 397 419 397 419 0.98
7 9 4.1e-05 0.0033 17.8 4.9 1 23 425 447 425 447 0.97
8 9 2.7e-05 0.0022 18.4 4.3 1 23 453 475 453 475 0.98
9 9 1.6e-06 0.00013 22.2 0.4 1 23 481 503 481 503 0.97

Sequence Information

Coding Sequence
ATGGATTTAAAACTTGGTAGTATTTGTCGTGTATGTTTAATAAATGATGTCGACCTTAGGAATATTTTCCAAGAAGGTCTGGCGCAAATAATAATGACTTTTGCGATAGTTAAGGTGAACTTAGAAGATGGATTTCCACAATTTATTTGTAAATTATGTTACGAAGAACTTAAGACTGCAGTTAGGTTTAAAGAGAAATGTGAAAAATCACAAACGAAATTGTATGAATATTTTAATTCATTCAATATTTTAAATAATGAGTTTTTCGACTTGAAAAGTGATATGAGACACACCGACGAATTATTGAATACGATACATATTCAAGAAAATAATTGTGAAAGTGTAAAAATTATTTCGGCTAGTTTCATCGAAGATTCACCCCCGTTGTCTGATTATCATAATAGTGATACAAATATCAATGATAAAATGTTGTTTAGTGATTTAAGTGTGCGAAAAACTGATGACAAATTAAAATTTGATCATTATACTGTAATACAACCAAAAAATTGCAACATTCCGAACAATCGTTTACAATATGTACATTCTTTAAATATTGAAAAATCTAGTGATATTATCGAACAAAGCATAATAAATAACGCTGAAATCGCACTAAAATGTGAACATTGTCTTGAAATATTTACAAATAAACTTGATTTAAGTGAACATTTAACAAAACATACTAATCGTGAGCAAGATGTATGTTTGATATACCAAAAACCATGTGAAAATATTAAATTAAAATGTGAACATTGTGATGAAGTGTTCACAAATAAAGTTGAGTTAAAAGAACATATTATTAGCGCTCATAGTACACCAACATTGATATATGAAAATGAACAAAATATTAAGAGTGAAGAAAAGAAAATCAAGTGTGAACACTGTGCGGAAATGTTCACAAATAAACTAGATTTGAGTAAACATTTAAACGAACGTACTACTAAATGCCATGAAGCACCATCTTCGATTTACAAAAATAGTGAAGACAGTGTTATAAAAAGTGACGAAATTAAGCTAAAATGTGAACACTGTGTCGAAATATTCACGAATAAACTTGATTTAAGTGAACATTTGAAAGAACATACCAAACTACGTAAACGAAAAGTGCAACAATGTGAATTTTGTGGTAAAATAACTAACTTCCGGTCTGAATTAAAGACTCATATGCGACTTCACAGTGGTGAACGTCCTTATAAATGCGCTACTTGCGGTAAAGCGTTTCGTTTACGGTCATTTCTGCGTAAACATTTCTTAACTCACGCCGCAATCCGAAGTCACCATTGCATGTTTTGTCCAAAAAGTTTCGTGTTAAAAAGTAATTTAAATAGTCACATAAAAACACATTCAGGCGATAAAAAGTATCCTTGTAATGTGTGCCATAAAAAATTCAAAACATCACGCTCATTATCATATCATTTAAAACTACATACAGGCGAACGAAATTTCCCGTGTTCGTATTGCGAGAAAGCATTCGTGAATCCTTTCGATTTGAAACGCCATTTGAGTTTGCACGAAAAACACAAACAAATCCGTGAAGGAACTTATGATAAATCGCAGGAACGTCCGAAACAAATGCATCAATGCGAAAATTGCGGCGGACCACAACACTGCATTTTCGTAGACTATATAGAAGGCAATATTTTAACTATCCTTAATAAAGATTTTTGGATTTAA
Protein Sequence
MDLKLGSICRVCLINDVDLRNIFQEGLAQIIMTFAIVKVNLEDGFPQFICKLCYEELKTAVRFKEKCEKSQTKLYEYFNSFNILNNEFFDLKSDMRHTDELLNTIHIQENNCESVKIISASFIEDSPPLSDYHNSDTNINDKMLFSDLSVRKTDDKLKFDHYTVIQPKNCNIPNNRLQYVHSLNIEKSSDIIEQSIINNAEIALKCEHCLEIFTNKLDLSEHLTKHTNREQDVCLIYQKPCENIKLKCEHCDEVFTNKVELKEHIISAHSTPTLIYENEQNIKSEEKKIKCEHCAEMFTNKLDLSKHLNERTTKCHEAPSSIYKNSEDSVIKSDEIKLKCEHCVEIFTNKLDLSEHLKEHTKLRKRKVQQCEFCGKITNFRSELKTHMRLHSGERPYKCATCGKAFRLRSFLRKHFLTHAAIRSHHCMFCPKSFVLKSNLNSHIKTHSGDKKYPCNVCHKKFKTSRSLSYHLKLHTGERNFPCSYCEKAFVNPFDLKRHLSLHEKHKQIREGTYDKSQERPKQMHQCENCGGPQHCIFVDYIEGNILTILNKDFWI

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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