Basic Information

Gene Symbol
CSRNP3
Assembly
GCA_001014335.1
Location
JXOR01000838.1:5763-9367[-]

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 3 0.31 3.7e+03 -3.0 2.4 62 114 55 86 33 117 0.50
2 3 1.3e-93 1.5e-89 299.1 13.7 2 218 225 424 224 424 0.92
3 3 0.35 4.1e+03 -3.2 0.8 65 103 779 817 766 825 0.62

Sequence Information

Coding Sequence
ATGCAGGAAGAAACCATGTTTACTcctattaaaacatttttaaataatttacaaaagaaTCCAATTGGAGCTTCTCTATTTGGAGTGCCATCACCATCGGCTGATACTGCTTCTCAAggcaatgaaaatgaagttcatactataaattcaacaataaatgaaatggagACCAATAAGATTGAGGCTGAAGTTACGGACCTTCAATTTGAGACttcatcattgaatgaaaatactgAAGACGATGAAATGAATCTTCAGTCTGATGTTATTGAGGAAGAGAAtcccattgaaattattattacaggGAAACTCAGTGATGACGAGACTGAAACGTCACAAGAACCACAAGATTATGCTCTGGAAACTGAATTagTAGTTCCCGTGGAACCTTTATGCAACACAAATTCTACCACAAGTgacgaaattgaaattgagaataaatcCATCGAAGTGATAGATGCTCCCACTAATACTTTGATAGAGGAAACAGTGGAAGGACGTAGCGATGGTTCAGATTCTGGAATTGGTCTAGAGGGGTCATCAATTGCAATAATAGCAAATCTAAATGATAGTGTACCATCTAGTTcattaaatgcaTCTACATCGTCCGTAAAAAGTAAAGGAAGCCTTAAAAGGCGTTCCGATTGTGAATTACCAATGGATGGAAAGAAGCCAAAACGGAATATATCCTTTGACACTGTGACTGTCTATTATTTCTCTCGTATTCAAGGATTCGCCTGCGTACCATCACAAGGCGGTTGCACATTAGGAATGAGTTCTCAACACTTTCATAAACGACAATTCTCACTGTCGGAACATGCTGTAGAACAAAAAAGACTTCACAGGCAACAGTTGCAAGAGCAACAGCCGCGTGTTTCTTCATCCGATGAGACCGACAGTGATGAAGAACCAAGTGATAGTGGATCAGATGTTGAATCAGAGTCTACCGGTTTCCTTCAGCCAGTGCCTGTACGACAAAGGCGTGCATTACTAAAAGCAGCTGGAGTTCGTAAAATAGACCCAACTGAGAAAGATGATTGTAGGGCGATTCGGAATTCTCGCGAGTTTTGTGGTTGTAATTGTAGAGGTTATTGTGATCCGGAAACCTGCTTTTGTAGTTTATCGGGTATAAAGTGTCAGGTTGATCGACCAAGTTTTCCATGCGGTTGTACGCATGATGGTTGCGCTAATGTGATTGGTAGAGTAGAATTCAATCCAGGTCGTGTACGCACTCACTACTATCATACCATAATGCGATtgcaattggaaaataaagagGGTCAATATAGTAATACGGCAattccaaataataattccTATGCAACAAGTAACTCATTATTGACTTCAACGTATAATCAAGATAACTGGCTGTCGGAAATGAAGAATCCAAATTATAGAACATATTCCATGTATAATACTAGTACTATAGATTATGTTAATAGTATGAATCCCTTCGTTAATCGACCTTTATCGACTACTGAGGAAACTGGTGCTATTCCGGATCGGCCGTTAACAACTCTACCATATCAGTTGATGTATAATTATTCGAAACCCGAGTATCCGAATAATTCAGACGCTGTACATACTGATAGGACAATAGAATCGGATGGCATGAGTGCTTATGATGAACATACTacattttataagaaattatcaTTCACCCCatacgaaaatattttaacaagtGTTGAACCATTTGCTAAAGATCAACAGACAGAGTTATCAACAGACTGTTTGCCCATTGAACCACCACGGAccatatttaattatcaatcaTCTCATAACACTGACTCatataattcaacattatcatCAAATGATCAAAATGACTATGGAAAGGCAAACTGTTCATCAACAGCAACTAGTGCGATTACGAGTTTTCATAGTGCATTTGAAGTATTTTGTTCACAATCTTTTCCATCTACATCTAAGAAATCACCGGAGACTCTAGAAACTGTGGTACTACATactgaagaaaagaaaacagaacCAGATCCATTACCAGAACCCGAACCCGAACCTAAACTAGAGCAAGAACAAGATGAAAGCTCTACggcaaatgataataatttcgtGAATTTGTCAACTTTAGATTCGAATTCACCTCGACATgatgttataaataatttattggaatataATAGGTCTGCTGTGATATCAGAGACGAAATGTTTAGACTCTTcagaatttttaaaagattCAATTGGCCTTTGTGAATCAActagtttattaaataaattagaacATGACAAAAGTTCTAGTGATATCAGTGTTACTGATTCCTTCATAAGTTGCGACTCAGAATTACCTACTAATGAAGTTAATGTTGATAAAGTTCAAGTAGAGAATTCAACAGCCACAGTTAAATTAGAAGATACGGAACCAGATAGTATAGATAAAGATACTGAATCTAGAACAACAATTTCAACGTCAACCGATGGCGaagtaaatgataatttgCAAACTATACTTAAAGATAGCATTGTGGAAACAGTTTCAGCATAG
Protein Sequence
MQEETMFTPIKTFLNNLQKNPIGASLFGVPSPSADTASQGNENEVHTINSTINEMETNKIEAEVTDLQFETSSLNENTEDDEMNLQSDVIEEENPIEIIITGKLSDDETETSQEPQDYALETELVVPVEPLCNTNSTTSDEIEIENKSIEVIDAPTNTLIEETVEGRSDGSDSGIGLEGSSIAIIANLNDSVPSSSLNASTSSVKSKGSLKRRSDCELPMDGKKPKRNISFDTVTVYYFSRIQGFACVPSQGGCTLGMSSQHFHKRQFSLSEHAVEQKRLHRQQLQEQQPRVSSSDETDSDEEPSDSGSDVESESTGFLQPVPVRQRRALLKAAGVRKIDPTEKDDCRAIRNSREFCGCNCRGYCDPETCFCSLSGIKCQVDRPSFPCGCTHDGCANVIGRVEFNPGRVRTHYYHTIMRLQLENKEGQYSNTAIPNNNSYATSNSLLTSTYNQDNWLSEMKNPNYRTYSMYNTSTIDYVNSMNPFVNRPLSTTEETGAIPDRPLTTLPYQLMYNYSKPEYPNNSDAVHTDRTIESDGMSAYDEHTTFYKKLSFTPYENILTSVEPFAKDQQTELSTDCLPIEPPRTIFNYQSSHNTDSYNSTLSSNDQNDYGKANCSSTATSAITSFHSAFEVFCSQSFPSTSKKSPETLETVVLHTEEKKTEPDPLPEPEPEPKLEQEQDESSTANDNNFVNLSTLDSNSPRHDVINNLLEYNRSAVISETKCLDSSEFLKDSIGLCESTSLLNKLEHDKSSSDISVTDSFISCDSELPTNEVNVDKVQVENSTATVKLEDTEPDSIDKDTESRTTISTSTDGEVNDNLQTILKDSIVETVSA

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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