Basic Information

Gene Symbol
Nfat5
Assembly
GCA_963695495.1
Location
OY968842.1:1562298-1583580[+]

Transcription Factor Domain

TF Family
RHD
Domain
RHD domain
PFAM
PF00554
TF Group
Beta-Scaffold Factors
Description
Proteins containing the Rel homology domain (RHD) are eukaryotic transcription factors. The RHD is composed of two structural domains. This is the N-terminal DNA-binding domain that is similar to that found in P53. The C-terminal domain has an immunoglobulin-like fold (See PF16179) that functions as a dimerisation domain [1-2].
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 9.1e-32 4.3e-28 98.1 0.2 1 168 326 485 326 486 0.95
2 2 0.035 1.7e+02 1.8 0.0 24 63 1215 1253 1212 1272 0.84

Sequence Information

Coding Sequence
ATGGGCACGAAACGTTCGACGAAAGCGTCGTCATCGACGAAGAAACAgacgaagaacaataaaacCAATAAGAATGCAATCGCCGATAACGACGAGTATCGGGAATCGGGATCAAAGGACGCCACGGCTTCGATTCCTCGGGAGCGAAACGATTCGCGGGTCGCTTTCGAGATTATCCGCGAGTCGCCGCGAGCGAACATAAAATCTAACGGCGGATCGTCGCCGAAATCTGGCGACGGGAATCCGTGCGAAGAGCGGCCATTGCCAAGCGAGAGTGCATCCAGAACGCGCGACTTTTGTTTTACGCGATTCCTTGCGCGCACCATCGACATGCAGCTCGATCGGCAGCGGGATTTCGCGAACATTTTCAGTGGTATGAAAATGACAATGTGTACGGTTCCAACGACAGTTTCAAGGGCTCAACCAAGAGAAAGAAGACCAGGAAGACCACCTGGCGGTGGTGGCGGCAAGAAGTTAATCATGACAAGAAACTATCCGGGAAAAATAAGAAGTATGGCTAGACGCAGCCTGGACCCGTGCGACAACTCGAACGACAGCGGATTGGGATTCGACCATCACACGGACCACCCGCACGCCGTCGTCGACCGGCTGAACAATTGGCAAGACGAGCGAGCGAcgccgacggcgacgacgacgccgacgacgacggcgccgcaacaccaccaccatcaccaccaccacAAGCGCCCGCGTCTGGACATCAAGTTGGAGAACGACGAGGTGAACGACAGCTATTGCTTCCCGGAGACGGTGCACTGCAAGGAGAACGCCAATTTGATTCGCACGGCGCCGGCGGGCGCGATCGCGAACTTGCGCGCGAACGGCAACCAGCCGAACGCGACGCGACACGCGGCGCCGCGATGCGCGCCGCTCTCGAGCAAGAACGCGGCCACCGCGTCGCCGCTCAACCTGATCACGCAGCTGAGCGCCGCGACGCACGCCGGCGACGTCAGTCTCGCGATACTCTCGCAGCCGGAGCAGCAGCACCGCGCGCGCTACCAGACGGAGGGCAGCCGCGGCGCCGTCAAGGACCGCAGCGGCAACGGGTTCCCCGTCATCAGGCTGATCGGTTACAACAAGCCGGCGACGTTACAAGTGTTCATCGGCACCGATCTGGGCAAAGTCGCGCCGCACATGTTCTATCAGGCGTGCAAGGTGAGCGGCAAGAATTCGACGCCGTGCAGCGAGAGGAAGCTGGACGGCACGATCGTGATCGAGATGCAATTGGACCCGGCGAAGGAGATGACGGCGACGTGCGACTGCGTCGGCATCCTGAAGGAGCGCAACGTCGACGTGGAGCACCGCTTCCCCGAGCAGTTGGGCGCgcgcaacaagaagaagtcgaCGCGGTGTCGCATGGTCTTTCGCACGACGATCGCGCACGACGACGGCAAAACGGAAACGCTACAGATCTGCTCGCAGCCGATCGTATGCACACAACCGCCTGGTATACCGGAGATTTGCAAGAAATCGCTGACGACTTGTCCGGCCAACGGCGGCCTGGAGCTCTTCATCTTGGGTAAAAATTTTCTAAAAGATACCACCGTTTACTTCCAGCAAACGAACGACGATCACCATCGTCGCGCGCGTTGGGAGGAATCGGTCGTGCCCGACAAAGAGTTTTTGCAACAGACTCATCTGGTTTGCGTGGTACCGCCGTACCGTAATCCGAACATAACCGAACCGGTAACGGTACGTTTGTACGTGGTGTCGAGCGGGAAAAATAGTGAGGCCCATCAGTTTGTTTATACGCCCGTTAACGACGGGACCGCCGTAGCCACGGTGCGCCACGAAGAAGTCGCCGTCCccgccgccgacgccgccATCGTCCGGtcgccgacgccgccgccgttcAAACTCTCCCGCTGGCAATCGCCGATCGagacgaacaacaacaacgacaacgagaCAACGGCGGTCGCCGACTCTGGCATGATGCCGCCGCCCGACACGCACCTCGTGCCGCTCGCGACGCAACGGCGGCCGTCGCTCGTGCAGGAGGCGCACTCGCCGCCGACGCGCGTCTTCAAGCAGGAGCCGGTCGTCGACGAGAACAGCCAGAGCTCGATCGTCGACGTCGgcgagcagcagcagcagctgcACGTCGAGCGCTATCGGCACCTGTCGGAGGGCAGCGACACGAACGCGTCGATGATGACCGAGAGCTCGCAGCACTCGATCGGCGACGCGTCGAACGACACCAGCGGCAGCAATCCGAATCTGCCGGCGATCGTGGTGCAAGGGCTGATCGGCCACGGGGCGCCGTTGCCGCTGAACTTGGCCACCGCGTTAAGCGAGGGCGCCGACGCGAATCGCACGAACGCCTTGTTGCAACCGGTCGCCGCGACAACCACGGCGACGCccacaacaacagcagcgacGACGGCTTCGACGATCGTCAACAATCCGACGACCGCCGgctgcagcagcagcaccacCGACGCCGACATCGTCGTGCCCGAACTGAACGTGATGGATCTGCGGATGAAGACGTCGATGGGCACGATCGCCGATCTGGCCAACACGAAGGAGCCGTCGATGGCGACGCTGCAGAGCTTCGGCGTGACGGAGCACACGACGAACCCGCTGCCGGCGCAGAGCGGACAGAGCGTCGAGAGCTACCTGACCGACCTGGAGAACAAGGACGTGCTCGAGTACGTGGCCAAGTTGCCGCACGCGGCGACGTCGAACGCCGCGCGCATCTCCGCCCAGAAGCTCGACGATCTCGTCAACAGCGCCGTCGACTCGCACATAGCGCACGCGCCGACCCACGAGCGCAAGGAGCTGATGCTCGACGGCGCGACGCAACGGCAGGAGATGATGTTGACGTCGATCATGAACGCGACGTCGCCGATTATGGCCGGAAGCGCTACGATGATGACGGCGAACGCGTCGCTCCTGGGCGGGACGTCGCCGATGCTGAACTCGACCCTGTTGTCGGCCACGTCGCCGTCGCTGTTGATGGGCGGCAACGGCGCGTTGCCGGCGCCGAATCTGGTGCAAACGGTCGCAATCGCCgtgcaacaacagcaacagggGTCGCCGAATCTCTCGCCGGAGGTGATACTGAACAGTCAAATCTCGCCGAGCCTGATGTGTCGCGCGAACGCGTCGCAACTGAGCCAGGACTCGCTGCTCGCGACGAACCTCTCGCCGAACATGTCGCCGAACCTGTCGCCGAACCGGCTGCAGGGTCAACTGATCGACGCGCCGATGACGCTGCCGGAACCGGAGAAGGTGATCCTGCTGAACGCGGCCGTCGATCTGTACGAGACGCAGAACAAGATCAAAGAGCTGACGAAGACGAACGGCGTGATCGGCAGTCTGTTGGCGACGACGTCGCCGCCGAGCGTGAAGCGGAACGGCGCGGATCTGCTGGAGTCGAGCGATCTCGCCGTCGCCGACGAGACGATCTTGACGGCCGCCACCGAGGCCATCATGACGCCGGCCGAGAGCCTGCTGGTGACGACGGGCGGCGGCCTTCTGGCGACCACCGCGAACATTTTGGCGACGTCGCCGAACTTGTTGACGGTCAACGCCAGCCTCTTGCCGGCGTCGAATGGTAACGGCAACGCGACGAACCTTTTGTCGCCGAGCGCGAACAGCACGATCGTCGGGAACGGTTCGCTTCTGTCGACGAGCAATTCGAATCTGCTGGCGGCGCCTCAGACGCAACTGTGCAATTTCGTCGAGGCGAGCAACATCGAATTGATGGCGgtccagcagcagcagaaggCGTTGCCGGTTGCCGAAGAGAATGTCGCGGCGACGTTGAAACCGACCGACAAGAAGAACGAGGACCGGATGATACCGAGAGTGTTCGAAACGATGTCGGAGAACGAACTGATCAGCATGATCAATCCAAGTTGTTTCGATCAAGGTAATAACTTCCATCATTAA
Protein Sequence
MGTKRSTKASSSTKKQTKNNKTNKNAIADNDEYRESGSKDATASIPRERNDSRVAFEIIRESPRANIKSNGGSSPKSGDGNPCEERPLPSESASRTRDFCFTRFLARTIDMQLDRQRDFANIFSGMKMTMCTVPTTVSRAQPRERRPGRPPGGGGGKKLIMTRNYPGKIRSMARRSLDPCDNSNDSGLGFDHHTDHPHAVVDRLNNWQDERATPTATTTPTTTAPQHHHHHHHHKRPRLDIKLENDEVNDSYCFPETVHCKENANLIRTAPAGAIANLRANGNQPNATRHAAPRCAPLSSKNAATASPLNLITQLSAATHAGDVSLAILSQPEQQHRARYQTEGSRGAVKDRSGNGFPVIRLIGYNKPATLQVFIGTDLGKVAPHMFYQACKVSGKNSTPCSERKLDGTIVIEMQLDPAKEMTATCDCVGILKERNVDVEHRFPEQLGARNKKKSTRCRMVFRTTIAHDDGKTETLQICSQPIVCTQPPGIPEICKKSLTTCPANGGLELFILGKNFLKDTTVYFQQTNDDHHRRARWEESVVPDKEFLQQTHLVCVVPPYRNPNITEPVTVRLYVVSSGKNSEAHQFVYTPVNDGTAVATVRHEEVAVPAADAAIVRSPTPPPFKLSRWQSPIETNNNNDNETTAVADSGMMPPPDTHLVPLATQRRPSLVQEAHSPPTRVFKQEPVVDENSQSSIVDVGEQQQQLHVERYRHLSEGSDTNASMMTESSQHSIGDASNDTSGSNPNLPAIVVQGLIGHGAPLPLNLATALSEGADANRTNALLQPVAATTTATPTTTAATTASTIVNNPTTAGCSSSTTDADIVVPELNVMDLRMKTSMGTIADLANTKEPSMATLQSFGVTEHTTNPLPAQSGQSVESYLTDLENKDVLEYVAKLPHAATSNAARISAQKLDDLVNSAVDSHIAHAPTHERKELMLDGATQRQEMMLTSIMNATSPIMAGSATMMTANASLLGGTSPMLNSTLLSATSPSLLMGGNGALPAPNLVQTVAIAVQQQQQGSPNLSPEVILNSQISPSLMCRANASQLSQDSLLATNLSPNMSPNLSPNRLQGQLIDAPMTLPEPEKVILLNAAVDLYETQNKIKELTKTNGVIGSLLATTSPPSVKRNGADLLESSDLAVADETILTAATEAIMTPAESLLVTTGGGLLATTANILATSPNLLTVNASLLPASNGNGNATNLLSPSANSTIVGNGSLLSTSNSNLLAAPQTQLCNFVEASNIELMAVQQQQKALPVAEENVAATLKPTDKKNEDRMIPRVFETMSENELISMINPSCFDQGNNFHH

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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