Basic Information

Gene Symbol
CSRNP3
Assembly
GCA_010015015.1
Location
JAAAKO010002339.1:6204-8923[-]

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 2 0.62 1.4e+04 -4.0 0.5 91 99 298 306 278 335 0.39
2 2 5.8e-94 1.3e-89 300.2 8.6 3 218 381 582 379 582 0.90

Sequence Information

Coding Sequence
ATGCTGTCTCCATTTAAATCATTTCTAAGCAACCTTCAAAAGAATGGAGCAACAATGTTAGGtttgaaCTCCAGTGCATCTTCTGTTTCCGATACAGACAATGAACCAGAAGAAACCTTGGTGATACCCGTAACGGATGAAGTTATTCTCGAAATTAACGATGATGACGAAGAACCGATTAGATTTAATACTGTTGAAATAATTGATTGTGATTCCAATGAGGTGCTTTCAACGGTCAACGACCCAGTGCCGACACCCGCTAATGCTGTGGTCGGCATAGAACCAATACATTGGAATGAATCGATTACGATTGATGACTCAATTGAAACGGTTTCAGCTGATAAAACAATTGACATTAGTGACACAAATGATTGTGAGGTtgttttagagccgattgattgTGACAATTGTGATAAAAATGATAGTACTATGTCTAGTTCTAATTCTATTGTCGCACAAAGAAATGTAGATTTCATTAGatctttaaacaaattaattccATCGCCATGTACACCAAGTGCAAAGCACACTGAACCTGAGCTCGTAGATAACATCGTTACAATTACTCTAGAATCTCCTAATCATGACCCATCAGTTCACAACGTTTTAACAACCACAACAGATGCTATCTCAGTTGACAGTGAAGATGAAATCGAGAAAGATCCACTGAATACAAGCATCGAGTCAACGGGTGTGTATGTAATTGAAATTGATGACGACCACGATGGTCTGGTCTCTTATACGGCATCAGAAAATGGTGGTCCAATAACGGATCCACTTGCCTTGGATGATCCTTTAGAAACGGACGACTCTCTACCACGATGCAGTGcgataaatattcaaaacaattcaaatactCAAACTGTTACTGTAGAATTGCAGAGCACGAAAAAACGTGATCATGCTCAGTTAGCAGAAACCGAGGTAGATTATCCAAACTACGAGAATACTACAAAGGACATCGAAGAAACCGCAGAAGAGGGTGTCCGAAGTGATGGTTCAGACTCTGGTCTAGGCTCAGAACCGTCAACAACTTTGCCCATTGTAACAGCCAGATCACcaataaACCCAATTGTACCTCACCGAAGCAGCTTAAAACGTCGCGCTGACTGTGCTTTGCCCGACACACCAAAACGTCTTAAACGCAATATTACGTTCGATGGTGGCGTCACCGTTTACTATTTCCCACGTGTTCAAGGTTTCACGTGCGTTCCATCACAGGGTGGCTGTACCCTAGGCATGGGCAACACGCACTTACATATCAAATCATTTTCGCTGGCCGAATATGCTAGCGAACAGCGACGTGCACATCGCCAACATAATATACAAGTGCAGCATCCGAACGGTTCTTCTAGCGAGGATTCCGACTCTGACGATGATGCTAGTGAGCACAGTAGCTCAGACATTGAGCCCGAATCAAATGGTTTCTTACAGCCGGTCAGTCCTCGTCAGCGACGAAATCTCTTGAAAGTAGCTGGTATTCGTAAAATCGATTCTCTTGAAAAGGACGAGTGCCGCACAATACGGACGTCACGAGAGGTCTGTGGCTGTAACTGCAGAGGCTACTGTGACCCAGAAACGTGTGCGTGCAGTCAAAACGGAATCAAGTGCCAGGTAGATCGTCCGAATTTCCCTTGTGGATGTACTCGAGACGGTTGCGGTAATGTAGTGGGTCGCGTTGAGTTCAATCCGGGCCGTGTGCGTACGCACTTTATTCACACAATTATGCGACTGGAATTAGAGAAAAAACAAAGACGTTCCGAAGATGTGCCGTTTACGACGTTTGACAATCCACAATGGCATCCTCAAATACGTTTACAGAATGTTAGGAACGCAAAGTTAAACCCCACAGATTATAGTAATGATATTTATAGTAGTAATGTAAATATGACATCGGATGTGCCAGACGCGGGCTGCAGCAGTGGTTCCAGTGAGGTCCTAGCACTTCCTACCACTCTTCGAACGATGGCTGCCGTTCCGACCGAGTCCTTGGATCTACATTTTTCATACCGCGACGATTACAACAGTGGAACACTCTTGGATGCATCCAGTAGAGCCACAGCACAGGAAGACCCACAAAATTATATGCACAAACTGTACCCAAACCATGAAGTCGGTTCTATGTTCAATTCCACATTCACGGACTACAGTAGTGTACCGTACCCTACCTACCCTCAATCGCCTGGATTCTCAAGTTCAGCTGAACTTACCACACCAACACCATGTTCACCGTACAATCCGCTTGGATCGGATGAATGCGTTAGTCTGCCGACGCCACAGAGCATTCAAAACCAGGACTCATTACTGGGTGTCAATTGTAAAACTTCCATAGAAACGGATCCAATTATTATGAATACAATGGAAAAGAAACAGATCGTAGACAACAGGTGGCCCGTGGAAGTGGGATCTCTCACCGAGAACGGGCATGCCTCAATGAGTATACCTAATGCAGATTTTGCACTTGTCCAAACAACACAACCCACGGGACTGGCACCCGAaatcattgaaattatttaa
Protein Sequence
MLSPFKSFLSNLQKNGATMLGLNSSASSVSDTDNEPEETLVIPVTDEVILEINDDDEEPIRFNTVEIIDCDSNEVLSTVNDPVPTPANAVVGIEPIHWNESITIDDSIETVSADKTIDISDTNDCEVVLEPIDCDNCDKNDSTMSSSNSIVAQRNVDFIRSLNKLIPSPCTPSAKHTEPELVDNIVTITLESPNHDPSVHNVLTTTTDAISVDSEDEIEKDPLNTSIESTGVYVIEIDDDHDGLVSYTASENGGPITDPLALDDPLETDDSLPRCSAINIQNNSNTQTVTVELQSTKKRDHAQLAETEVDYPNYENTTKDIEETAEEGVRSDGSDSGLGSEPSTTLPIVTARSPINPIVPHRSSLKRRADCALPDTPKRLKRNITFDGGVTVYYFPRVQGFTCVPSQGGCTLGMGNTHLHIKSFSLAEYASEQRRAHRQHNIQVQHPNGSSSEDSDSDDDASEHSSSDIEPESNGFLQPVSPRQRRNLLKVAGIRKIDSLEKDECRTIRTSREVCGCNCRGYCDPETCACSQNGIKCQVDRPNFPCGCTRDGCGNVVGRVEFNPGRVRTHFIHTIMRLELEKKQRRSEDVPFTTFDNPQWHPQIRLQNVRNAKLNPTDYSNDIYSSNVNMTSDVPDAGCSSGSSEVLALPTTLRTMAAVPTESLDLHFSYRDDYNSGTLLDASSRATAQEDPQNYMHKLYPNHEVGSMFNSTFTDYSSVPYPTYPQSPGFSSSAELTTPTPCSPYNPLGSDECVSLPTPQSIQNQDSLLGVNCKTSIETDPIIMNTMEKKQIVDNRWPVEVGSLTENGHASMSIPNADFALVQTTQPTGLAPEIIEII

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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