Basic Information

Gene Symbol
CSRNP3
Assembly
GCA_002278615.1
Location
NEEE01002309.1:21847-26381[-]

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 0.018 3.9e+02 1.0 2.3 59 113 43 98 17 125 0.51
2 4 0.3 6.5e+03 -2.9 1.7 67 84 234 251 202 272 0.33
3 4 6.7e-104 1.4e-99 332.6 7.8 1 218 274 482 274 482 0.93
4 4 0.0032 70 3.5 5.7 42 89 655 703 651 719 0.57

Sequence Information

Coding Sequence
ATGTCAAGCAGTGACATAATATCCGTGGATACTGCAGAAAATACTATATGCCTTACAGGCACCATTTCTAAATCTAATCTTAATACCgaagaaacaacaaaaatggGCAATCGAGAATCAAAAGATCAAGACAATCTCGACGAAAATAATGATCAATCTAATAAAGACAATGCTGAAGATACATCGCGTGTTTATTCTAAAGAAATCCCTTCAAATTCTCCTGTAGTTAcaactgtaaataatattagtgaATCAAACATTGATGAAGCCGCGAAATTAGAActaacctataaaaatataatagaaacaaataataaactagttgaaaataataaaacactattAGAAAAAGAAGATGGTGAAGATTCCGCAACGGAAAGTTTACCAGCTCCAGAGGAAACCGAACAAGAACCCCATGACCGCTCGGATGGCTCCGACTCTGGGCTGGGCTCAGAACTTGCAGAAGATCGCCCGATGACGGTAACGGCAACGCACCTGGGTGAAAGTGACAGTGAAACGTGTTTCCTAGACCCAGATCCTTTAACTAAAACAATCGATCCCGTAAATGTATTCGAAGATTTCGAGACAAACAAGATTCAACCTGATTTCGAATTGCCCTCAACTAGCACGGCCTTTAATCATCAAGAGTCACAAAAGTTAAATGACGTTGTGAAAATTGAACAACAAAACGCTAATAATATTGAACAAGATATTGGTGCGATATTAGATGAagctcaaaaacaaaataagcaACCGGAAAAAAGGAAAAGTAACTTGAAACGTAAATGTGTCGAAGAAGATGAAACTGAACCACAGATTAAGAAGAAACGCGGTATTTCTTTCGATACTGTGACGGTGTATTATTTCCCCCGAGCGCAAGGTTTCACGTGTGTCCCTTCACAAGGTGGCTCAACTCTCGGCATGGGTGCTACGCATAGCCATGTCCAACGGTTTTCGTTAACAGAACATGCTGTGGAACAGCGGCGCCTCCACCGTCAAATTTTGCAACAACTTCGTTCTGAACGTCATGTATCGACTGGTAATGGCAGTTCCAGTGATGATAGTGATAGTGAGGAAGAACCAAGTGATGCCTCAGAATCCGAGTTAGATTTAGACTCTTATTATTTCCTTCAACCAGTTCCTACACGGCAGCGACGCGCTCTGTTAAGAGCCGCAGGTGTTAGAAAAATCGACGCTTTGGAAAAAGACGAATGTCGGGATATTCGTTCGTCGCGCGAATTTTGCGGTTGCGGATGCAAAGGTTATTGTGATCCAGACACTTGTTCCTGCAGCCAAGCTGGGATTAAATGCCAAGTCGATCGTTTGAATTTCCCGTGCGGCTGTACTAGAGACAATTGCGCAAACTCAAGCGGGCGAATTGAATTTAATCCCGTACGCGTTCGAACTCATTTCATCCACACATTAATGCGTTTAGAATtggaaaagaaacaaaaagaaGAAGAATGCAAAACTGAAAATGGTGACGGTAATAATCCAGATAGTGGGGCAAGCACTTCACATTGGTCGGAAAATGAACGCTTAGCCTCCCAACCGAACACCTATCATCAACATCAGAACGGGATAGACCACCAACCGAAATATACTGGGACTTTACTACGAGATGTTAATCTTAACTCCCACGTGGAGGTAGAGTCGTGTGTCCATTCGGGAAGTTTCACTAATTTACATTATGGGGCACCCGGAGAAGGACCTGGCTCTTCGCATCACCCACAACAAGCACCTCCAAATTTCACTGATTTACACGGAAGAGAAGATTCTTTAGATCTGTATACTTTCCGGGAAGATTGTTACACCGAAGAAACAAGTACAAGTACTGCAGATACAACAACAActcaagataataaaattcaaccaTTCCCTTCGACAAGTTTTCATTTCTCTCAAACCGACCCAAGGTATAATCCAGATATTAGTGGATTATATCCTTTAGGACCTAATCAGTATCAATATCAAACCTTTTCTGAATTTccccaacaacaacaacagcagcaacaacaacaacaacagcagcagcagcaacaacaacaacaatcacaacaacaaaatttttcatcATACGGTTATGGACAAGATTTTTCCAGTCAGGAACAATTCACAACACCAAAAGAACCCGCGCAACAATATACTAATTTACATCCTGTTTGCCCGTTGACGGGATCAGGAAAATTAGAATCTTTTAGCGATTTATTACATGGAAGATATAGTTATTCAGGTTACGAAGACACTACACCCGTTGGACCCTTTGTAGCACCTTTAGAAATGTCTGAAAATCAAGATGGTGTATCCGGGGATATGGGAAAATGTGAAGCCATGCATATAGATGGCAATAGTGTTGCGTCATCAACAAATACAGAACAAAATGGCGATGATTGTGATGAAAATTTCggagaaattattaaaaaaaccatGGTTGAAAGTGTTTCAGCGTAA
Protein Sequence
MSSSDIISVDTAENTICLTGTISKSNLNTEETTKMGNRESKDQDNLDENNDQSNKDNAEDTSRVYSKEIPSNSPVVTTVNNISESNIDEAAKLELTYKNIIETNNKLVENNKTLLEKEDGEDSATESLPAPEETEQEPHDRSDGSDSGLGSELAEDRPMTVTATHLGESDSETCFLDPDPLTKTIDPVNVFEDFETNKIQPDFELPSTSTAFNHQESQKLNDVVKIEQQNANNIEQDIGAILDEAQKQNKQPEKRKSNLKRKCVEEDETEPQIKKKRGISFDTVTVYYFPRAQGFTCVPSQGGSTLGMGATHSHVQRFSLTEHAVEQRRLHRQILQQLRSERHVSTGNGSSSDDSDSEEEPSDASESELDLDSYYFLQPVPTRQRRALLRAAGVRKIDALEKDECRDIRSSREFCGCGCKGYCDPDTCSCSQAGIKCQVDRLNFPCGCTRDNCANSSGRIEFNPVRVRTHFIHTLMRLELEKKQKEEECKTENGDGNNPDSGASTSHWSENERLASQPNTYHQHQNGIDHQPKYTGTLLRDVNLNSHVEVESCVHSGSFTNLHYGAPGEGPGSSHHPQQAPPNFTDLHGREDSLDLYTFREDCYTEETSTSTADTTTTQDNKIQPFPSTSFHFSQTDPRYNPDISGLYPLGPNQYQYQTFSEFPQQQQQQQQQQQQQQQQQQQQSQQQNFSSYGYGQDFSSQEQFTTPKEPAQQYTNLHPVCPLTGSGKLESFSDLLHGRYSYSGYEDTTPVGPFVAPLEMSENQDGVSGDMGKCEAMHIDGNSVASSTNTEQNGDDCDENFGEIIKKTMVESVSA

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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