Eocu013818.1
Basic Information
- Insect
- Eucriotettix oculatus
- Gene Symbol
- kn
- Assembly
- GCA_034510155.1
- Location
- CM067377.1:57594732-57606633[-]
Transcription Factor Domain
- TF Family
- COE
- Domain
- COE domain
- PFAM
- AnimalTFDB
- TF Group
- Helix-turn-helix
- Description
- This is the helix-loop-helix domain of transcription factor COE. It is responsible for dimerisation [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 2 0.56 6.4e+03 -3.6 0.1 157 169 128 140 111 154 0.67 2 2 6.8e-35 7.7e-31 108.4 1.1 132 183 186 237 178 245 0.93
Sequence Information
- Coding Sequence
- ATGCAGCACCCATTAGCGTTGACTTCCGTCGACGGCTTCCGGGCAATCACAGAGGGACAATTCAAAGATCGGACTCGCGCCGAGGAATGCTTTCTTCGTGGTTACTCCCGAGGGACGGCCTGGAGGGCGGCAGGATATCTGCATGTGGCTGCGCTGGCTCGTGCCGATTGTCTTCCACCCAGGGGCATGCGGCGCACTCGATCAAAGTCAAGGGCGACACATGTTGCACAAAGCCACCCCATTTACATCCCTTCTGGCAGGGTCCTCACGCCCCGAACTCGTCCTCCGCGTCATCAAATTACTCTTCCCACGACTCGCATCGAAAGGAACAGCGACCCCAGTTACGCAGCCCAACAACCTGGTCGGGTCCCGCGTAATTACGTCAGCAGTCGATGTTGTCGTAAGAATGCTGTGTTGTCAAGTCGAGCGTGCGTCAGCTCCCCATTTAGCATTGTCCTGGCGTCGATTTTGCTGTTAAGCCCCAGGAGTTACAAACACAACCATGATCCACCGCTGTGCGGTTTGCTGATCCAATGGACCATACGAGTTTTGTGCACTGTTTCTGCTATCATGTACGAGGGCCAGGATAAGAACCCGGAGATGTGCCGAGTGCTCCTCACCCACGAAGTCATGTGCAGCCGTTGCTGTGATAAGAAGAGCTGCGGTAATCGCAACGAAACCCCTTCCGATCCTGTCATTATCGATAGCTTTTCGTCTCCTCTGACGAGCAATCATTTTAATGCTCCGAAGCACTTATTAAAATCAGTGCGTTCGGAGGCGCTAATACAAGGCCCTTCATCACTGCTCGAGTCAAGCTGCAGACTATTCGAAGCCTCTCTGGAATACGTAACGGGAAGGCAGAAGCACAACGACGCGTCGGCGACAAAATGGCGTCCCAAGGGATGCGGGGGAGAGCATCTCGCGGGGCTGTGTGGTCATACCAGGATGTTTGTGAACGCGTCTTTCCGAAGCAGGAAGTGA
- Protein Sequence
- MQHPLALTSVDGFRAITEGQFKDRTRAEECFLRGYSRGTAWRAAGYLHVAALARADCLPPRGMRRTRSKSRATHVAQSHPIYIPSGRVLTPRTRPPRHQITLPTTRIERNSDPSYAAQQPGRVPRNYVSSRCCRKNAVLSSRACVSSPFSIVLASILLLSPRSYKHNHDPPLCGLLIQWTIRVLCTVSAIMYEGQDKNPEMCRVLLTHEVMCSRCCDKKSCGNRNETPSDPVIIDSFSSPLTSNHFNAPKHLLKSVRSEALIQGPSSLLESSCRLFEASLEYVTGRQKHNDASATKWRPKGCGGEHLAGLCGHTRMFVNASFRSRK
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -