Basic Information

Gene Symbol
-
Assembly
GCA_017141365.1
Location
JAEVLP010000993.1:3979-7786[+]

Transcription Factor Domain

TF Family
CSRNP_N
Domain
CSRNP_N domain
PFAM
PF16019
TF Group
Unclassified Structure
Description
This presumed domain is found at the N-terminus of cysteine/serine-rich nuclear proteins. These proteins act as transcriptional activators [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 4 0.48 8.3e+03 -2.6 0.1 92 145 43 91 13 105 0.43
2 4 2 3.4e+04 -5.3 6.6 93 139 103 150 35 168 0.60
3 4 0.19 3.3e+03 -1.3 1.5 94 140 421 469 404 504 0.54
4 4 1.1e-12 1.9e-08 35.4 0.3 1 28 785 812 785 812 0.96

Sequence Information

Coding Sequence
ATGGCAGAAACACCCGAGATGGAATCGCCTTTGGCCCGTCAGGACTGTTTCGTTGAGGCCCAAGAGGATTCCACCTCAGTGGAGGCCGATACGGAAGACGTGTCAACATCGGACGGAACGACATCAATGACGACAACAACGGCAATACCGGATACTATCGACGACGATGACTATGCGGCACGTCCATCCGTCCTGCGAGATTCGCGTAAGGACTTGATGGTAATGTGCGAGAGATTGGATGAGAAATCCGAAACCGAGGGATCCGAAGCAAGACAATCGAGTGATTATCCTTGTCTCCCAAAACTGGAGGAGGATCAAGTCGAAGAGGAGAAGGGTCAGATCGGGGAGAAGGAGGATCAGGAGAGACAGGAAGAGGAGGAAGAGAGGAAGGCAAAAATAGGTCTAACGATGGGGAAGAAAATCAGTGAGATCGAGAGAAACGAGAAGGACGAGTTCGGTGCGAAATTGATGGAAGATTCTCTTCAGAAACTTGAAGAGTCGCCGAAGACGGCTGAGTTTCAGAATCACGACATCGAAGAGTTCTCGGGGGTGCAAGAGAGCCAGATAGGGACGTCCGCATCATCGGACGTCTCCAGAAAGAGGTCGGCCGCGGATGATTTTTTGCCGATTGGTACGGAGGCCAAGAGGATCGGCATTGAAATCTCGGAGGAGCAAGCGAATCAGCTGAAAAACGATATTAGGAGGCTGTCGCCGGTGTTAGTGAGCCTGCGGGAGAGGACCCTGGGCGAAGTGTCCCTGACCTCGGAGTCCTATCTCTTCGGGAACGATGTTGACGGTAGGATAATTTCAAGATGCAACGACGTTCCGGCAGAATCTTTTGTGGCGAATGATTCCAAGATTCATGATGTTGATCAGAACTGTGAGAAGCAGGATATCGGCGAGGAGAAGAAAGAAACGATCGTCAGGATTGGTGTAAGTTCTTTGGAGTGCACGAGCAGCGACAACGTTGGAGACACGTCGAATTGCGCGAGTAAAAAAATGGATTGCGAACACGAGGAGGAGATTACGACACTTGGCGTTGACGTAGCTTCTGTTGTACTGTCGAAAGGTGACGATTTGGACGGCACAACGGAGTCGCGTCAAGACGATGTCAGAGACACAAACGTGATCACAAACGCTGAAAGTGCGCTTTGCACTCCGACGAAAAAGTGTGTTGTTGATACGACGATACCATCAAGTCCTATTTGTCGAAATTTAACCGTGGTGCTGAATCGTATCGAAGAGAAAGATATAAAGAAAAGGAACGATCAAATGGACAGAGACATCACCGAGAATATATGGGACTGTGTCGTTGAGGAGAATTTGCCTTCCAATAGAAGAAGAGATTTCGTCGAGGAGGAGCGTGATTCGGTTGTTGAATCTTGTGAATCTGAAGAAGCCCAGGAGAAGAACGCGAAGAAGCAACGATGGCAAAGCGATTCCTCTCCAATAACCAGGTCAAGGAAATGCGAGCTGACAGAGAACGGAACTTGCAGTCCGGATAGTGGATTGGTCCTGAAGAAGTGCAAGGTGGTGCTGGAGAGAATCGGTGAAATCCCGGGACATTCGTCACAAGGAGAGAACGCCGAGGAAAACGGAATCATAAGAGAGTTTGAGAAAGATGACGAGTCTGCGCCTGTAGCGATAATCGGCAAGCTGGAAGAGGATGAGGAGGTGGTACTGGCGAGCTCGTCGCTTACGGCTGAAGATAGCCGCGCGTCTAACGAGCTGGACTCATCGGAGACGATGCCAAGCTCGCCAGAGGAAGCACCAGAAGCATCGATAGAAGTCGCTGAAGGCGTCGATACCGAGACAGAAACGGAAACCGGCTCTGATAGTTCGGAAGTATCACCCATCACTAGCATTCGTCACGAGCTACGCGACGTCGACATGGCGCCCGATCAACTACCCTGTTCCGAGGGAGTCGCTCTGTGCTGTGTGGAAGCGATGGCGCCGATTATGACGAGATTGGAGGCCGAACGGCCGGAAGCGTATACGGAGGACTCTGCTGAGAGTTTGGCCTTGGCGACTGGCGCCAGGGACGAGGTCAGATCCGACGGGAGTGATTCCGGTCTGGGGAATGAAATCCCCGGTGACTCTGGACCAGCGCCCGCACCGGAAAGCGACTCGGAGACATCCTTCCTCGACAGGTTGCCGGACGACATCCTCTCCGACAAGGAGAAAGGCGTAAACCAGTTGGACAGCTACGCGCCGTCCTCGGGTGCGTCTGGTGCACCAGGTCAGCTACCTCTGACGAGCTTTCAAACACTTCCGGCCAAAAGCAACCTGAAGCGCAGGCTGACCGATTGCATGGAGGGTGACGAGTCACGGAGCAACGTCGACGAGCCCGTGAAAAAGAAGCGCAACATCCAGTTCGATGCAGTGACAGTCTATTACTTCCCTCGGGCGCAGGGCTTCACCTGCGTACCTTCTCAA
Protein Sequence
MAETPEMESPLARQDCFVEAQEDSTSVEADTEDVSTSDGTTSMTTTTAIPDTIDDDDYAARPSVLRDSRKDLMVMCERLDEKSETEGSEARQSSDYPCLPKLEEDQVEEEKGQIGEKEDQERQEEEEERKAKIGLTMGKKISEIERNEKDEFGAKLMEDSLQKLEESPKTAEFQNHDIEEFSGVQESQIGTSASSDVSRKRSAADDFLPIGTEAKRIGIEISEEQANQLKNDIRRLSPVLVSLRERTLGEVSLTSESYLFGNDVDGRIISRCNDVPAESFVANDSKIHDVDQNCEKQDIGEEKKETIVRIGVSSLECTSSDNVGDTSNCASKKMDCEHEEEITTLGVDVASVVLSKGDDLDGTTESRQDDVRDTNVITNAESALCTPTKKCVVDTTIPSSPICRNLTVVLNRIEEKDIKKRNDQMDRDITENIWDCVVEENLPSNRRRDFVEEERDSVVESCESEEAQEKNAKKQRWQSDSSPITRSRKCELTENGTCSPDSGLVLKKCKVVLERIGEIPGHSSQGENAEENGIIREFEKDDESAPVAIIGKLEEDEEVVLASSSLTAEDSRASNELDSSETMPSSPEEAPEASIEVAEGVDTETETETGSDSSEVSPITSIRHELRDVDMAPDQLPCSEGVALCCVEAMAPIMTRLEAERPEAYTEDSAESLALATGARDEVRSDGSDSGLGNEIPGDSGPAPAPESDSETSFLDRLPDDILSDKEKGVNQLDSYAPSSGASGAPGQLPLTSFQTLPAKSNLKRRLTDCMEGDESRSNVDEPVKKKRNIQFDAVTVYYFPRAQGFTCVPSQ

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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