Basic Information

Gene Symbol
CSRNP3
Assembly
GCA_936440415.1
Location
CAKZFH010000374.1:9421-12635[+]

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 0.28 5.3e+03 -2.8 4.8 64 109 111 157 88 179 0.51
2 3 1.5e-101 2.8e-97 325.0 8.8 1 218 288 498 288 498 0.93
3 3 0.58 1.1e+04 -3.9 2.5 71 71 740 740 655 800 0.53

Sequence Information

Coding Sequence
ATGCGGGGACGCGGCGAGGAGGGGAGCAAGGCCGGGGCGAGGTGCGGGGCGGGAGTATCACGTCGAACAACGCAGCCGATACCCTACTATGTTCAGAAGTCTCTTGCATGCGGCGATTGTACGTTATTTAACGGACACGCATATTGTGCCGGGTTAAAACTTGCCTGCGTCGTCGATGGAGTCGACCATCGCGATTACGCGAGGTGGGAGCTAATGGAGGACTCAACTACAGGTTCGAATGAACAGTTTACTGATGGACCGGATCCTCATAGCCCTAAACCTCACAAAGAAAGCTTAGAAGAACAGAAAGAAGACGAATATCTTGTGACAAAAGACGAAAAAAATTGTGATAGTGATTCACACAGTGAAGACTTTAGTCATGATGAACAAACTAATTCAATCAGTAATAGCAACTCTCAGTTTTATGAGAGTAGTGATAGTAAAATAGACTATGCTGTAAAAATAGATGATAATGATACTCTAAGTGACATAGACGATATAAAAACTGATAGTGCTTCAGCTGACAGTGAAGATTCAGCTCTAGGTAGTTTACCATCGGATAGTGCACTCAATGAAAGAGAAGAAGAAGCTCAAGATAGATCAGAAGGGAGCGACTCAGGTATAGGATCAGATGCTGTAGATGACGTCAAAATACCAAGCTTTAGCCTAGCACTGCCGTGCACAAGTAGTCTACAAAATTCTCCTGAGATAGTCGAACAGGATAACGATAATGGTTCGGGTAAGAACCAAGAGAAAAACAAAAACCAAGGCCATAATATTGAAATGGAAATAAAGAGACCCCTAAGAAGTAACCTTAAGAGGAAATGTAGTAGTGACGAAACCAACGAGCCTGAAATAAAAAAGAGGAAAAAGAACATAACATTTGATAATGTTACGGTCTACTATTTTCCCAGAGCTCAAGGCTTTTCTTGCGTTCCGTCACAGGGTGGTTCCACATTAGGGATGGAATGGGAACACACTCATTTACAAAAATTTACACTGACAGAACACGCGTTAGAGCAAAGGAGATTACACAGACAGATATTGCAGCAATTAAAAAGTGAACGCCATGATATGCTCCAAGGTGCTTCACTCTCTTCTAGTGAAGATAGTGACACGGAAGAGGAAGCCAGTGATATTTCTGAGTCAGAACTTGACTTGGATAACTATTTCTTTTTACAACCGGTTCCAACCAGACAAAGGAGAGCTCTGTTACGTGCGGCTGGTGTGAGAAAAATAGAGGGTTATGAAAAAGACGAGTGTCGGGATATAAGGACGTCTCGAGAGTTTTGTGGTTGCGCTTGTAAAGGAACTTGTAATCCAGAGAATTGCTCTTGCAGTTTGGCTGGTATCAAATGCCAGGTAGACAGATTACATTTTCCATGTGGATGTAGCCGAGATGGTTGCTGTAATACAACTGGAAGAATAGAATTTAATCCCGTCAGAGTGAGAACTCACTTCATACAAACCCTTATGAGAATTGGCCTTGAAAAGAAGAATGAAGAAAATCAAGCGGCAGCTAAACGACAGTGGCTAGACGCTCAAACTTCGAACAATATTTCTCGAAATACTACTTCTTCGTATGATAGGCAACGTTCCCTCAATCAAGAAGATGGAATGGTACGTGATGTAAGTCTGACTCCTAGAACCGAAGTGGAATCCTGTGTCAACACAGGTAACTTTAATAATATGCATTGTGATATAAATAACTCCACATCACAGAGCAGTATGCCGGACGATAATATGTCGTATGGATATAGAAGCGAATGTTCGAATCATAATAATATGAATGATAATAATATGCACTACGAGAATGCAAATAATCATCACAATAACCCATACACATCCAACATATTGCAAGGTAAAGGCCCACCTTACTCAGCGGCTAGTACCATGTGCTTTGATGTTACGTCAAATAATATACAAAGGTTTCCTTGTGATCTCAATTACACTTACGAACAGCAGAATATGGAAAATCAACATTTTAAAGGGATTCAAAGTTTTTCTGCCAGTAGCTTTGAAGAGTTCGCACACAGTTCACATATGACGATGTTTAGCCATTATGGTCATATGTACGTACCAGACTACCTGCACAAATCTAACGTCAACCCTATTCACGAGCACAATTCACTGCAGTATCATAGCGCACCGCATAACCATTACGAAATGTTCAAAAACGCGACTAACGCAAACAATGACAACAAAAATGACGTAAATTATACCTTGATGACTTTGCCATACCAACCTAGTAATAATAAGATGCAAACCGTAGAAAATGATGAGAACTGGTTCAGTCACAACACACTGTTGAACTTGGACCAGTCGGACCAGACAACGCAGGACGCCGCAGACTTACAGTCTCATTGTACAGAGACTCCAACGGAAAGCAATAATGTGGAGACTACTGACAATTTTGGTGAACTTATTAAAAAAACTATGGTAGAGTCTGTTATAGTGTAG
Protein Sequence
MRGRGEEGSKAGARCGAGVSRRTTQPIPYYVQKSLACGDCTLFNGHAYCAGLKLACVVDGVDHRDYARWELMEDSTTGSNEQFTDGPDPHSPKPHKESLEEQKEDEYLVTKDEKNCDSDSHSEDFSHDEQTNSISNSNSQFYESSDSKIDYAVKIDDNDTLSDIDDIKTDSASADSEDSALGSLPSDSALNEREEEAQDRSEGSDSGIGSDAVDDVKIPSFSLALPCTSSLQNSPEIVEQDNDNGSGKNQEKNKNQGHNIEMEIKRPLRSNLKRKCSSDETNEPEIKKRKKNITFDNVTVYYFPRAQGFSCVPSQGGSTLGMEWEHTHLQKFTLTEHALEQRRLHRQILQQLKSERHDMLQGASLSSSEDSDTEEEASDISESELDLDNYFFLQPVPTRQRRALLRAAGVRKIEGYEKDECRDIRTSREFCGCACKGTCNPENCSCSLAGIKCQVDRLHFPCGCSRDGCCNTTGRIEFNPVRVRTHFIQTLMRIGLEKKNEENQAAAKRQWLDAQTSNNISRNTTSSYDRQRSLNQEDGMVRDVSLTPRTEVESCVNTGNFNNMHCDINNSTSQSSMPDDNMSYGYRSECSNHNNMNDNNMHYENANNHHNNPYTSNILQGKGPPYSAASTMCFDVTSNNIQRFPCDLNYTYEQQNMENQHFKGIQSFSASSFEEFAHSSHMTMFSHYGHMYVPDYLHKSNVNPIHEHNSLQYHSAPHNHYEMFKNATNANNDNKNDVNYTLMTLPYQPSNNKMQTVENDENWFSHNTLLNLDQSDQTTQDAADLQSHCTETPTESNNVETTDNFGELIKKTMVESVIV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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