Tmon047396.1
Basic Information
- Insect
- Timema monikensis
- Gene Symbol
- NFAT5
- Assembly
- GCA_902151445.1
- Location
- CABFVZ010003648.1:1-14805[-]
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 1 1.4e-19 5.7e-15 57.8 0.0 1 91 185 283 185 284 0.90
Sequence Information
- Coding Sequence
- ATGAAGCTGACACTAGGCACAGCCCCCACAACAAGGGTGCATCGTAGGGTGGGGAAGGGAGCTGCCACTAAGAGATCTGCTGTCAGCCAGCAACAAAGGCTGCTATCAGCAAGAGAGCAGGAGAGGACAGCAGTTGATCCTTGTGATAACTCCAATGACTCTGGTCTCGGATATGACCATCCACCAGAGTTTTCTCTCATTGCCAGAAACACGTTCAGATTCACGGAGAAAGAGACTCCTTGGATGCTGGATCACTCTGAAGCTAAGCGCAAGAAGCTAGAGATTAAGCTAGAGTCCGACAATGCGAATGACAAGTACAGTTTCTCTAATACCATGAATTGTAGAGGCAAGAAAGGAACTCCTGACACTTCTGGACTGCTTcgaacagacacacagacagggCCCCAAGTAAGGACTGAGCCCCCTGTGTCTCGAGCTCATGGGAAGTTTCAAACAAGGTGCGCCCAAGTTAATGTCCCTAGTCGTCGCACAACTGGTCCAGTGACTCTGACGTCACAACTATTGGGTGCAAGTCGGAACGGAAAGACACACCTTCAGATTCTGTGCCAACCGGAACAACAGCACAGAGCTAGATATCAGACAGAGGGAAGCAGAGGAGCAGTTAAGGACCGCAGTGGAAACGGCTTTCCTGTAATAAAGTTAGAGGGATATGACAAACCAACAACGCTTCAAGTGTTTATTGGCACGGACATGGGTCGTGTGGCACCACACATGTTTTACCAGGCTTGTCGAGTCAGTGGCAAAAACTCTACACCTTGTATTGAGAAGAAAATGGATGGCACTGTAGTCATAGAGGTCAACTTTGATCCTGCCAAGAATATGGTTATCACN
- Protein Sequence
- MKLTLGTAPTTRVHRRVGKGAATKRSAVSQQQRLLSAREQERTAVDPCDNSNDSGLGYDHPPEFSLIARNTFRFTEKETPWMLDHSEAKRKKLEIKLESDNANDKYSFSNTMNCRGKKGTPDTSGLLRTDTQTGPQVRTEPPVSRAHGKFQTRCAQVNVPSRRTTGPVTLTSQLLGASRNGKTHLQILCQPEQQHRARYQTEGSRGAVKDRSGNGFPVIKLEGYDKPTTLQVFIGTDMGRVAPHMFYQACRVSGKNSTPCIEKKMDGTVVIEVNFDPAKNMVIT
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -