Basic Information

Gene Symbol
-
Assembly
GCA_963971205.1
Location
OZ020281.1:14335382-14337266[-]

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 5 3.3e-15 1.5e-11 45.2 0.0 1 65 11 77 11 81 0.89
2 5 0.0012 5.8 7.5 0.0 35 58 79 102 76 109 0.90
3 5 0.21 9.6e+02 0.3 0.0 38 55 102 119 101 124 0.89
4 5 3.8e-05 0.18 12.4 0.0 34 65 121 152 115 155 0.91
5 5 1.1e-11 5.2e-08 33.7 0.0 35 122 154 245 151 250 0.86

Sequence Information

Coding Sequence
ATGGGCgagcggccggcgccggcgccggcggtgGTGATCGCGGAGCAGCCCGCGAGCCGGCACAGATTCCGCTACAAAAGCGAGCTGGGCCCCAGGCGCTACGTGGACGTCATACTGGGCGCGCACAGCTCGCCCGGCGCCCGCAGCTACCCCGCCATCGAGGTGCCGGGCTACGAGGGCCCGCTGGCCGTCATGGTGTCCCTCGTCAACGCCCGCGACAAGCACTCTCCCGGCGCCCGCAGCTACCCCGCCGTCGAGGTGCCGGGCTACGAGGGCCCGCTGGCCGTCATGGTGTCCCTCGTCTACCCCGCCGTCGAGGTGCCGGGCTACGAGGGCCCGTTGGCCGTCATGGTCTCGCCCGGCGCCCGCAGCTACCCCGCCGTCGAGGTGCCGGGCTACGAGGGCCCGCTGGCCGTCATGGTGTCCCTCGTCAACGCCCGAGACAAGCACTCGCCCGGCGCCCGCAGCTACTCCGCCGTCGAGGTGCCGGGCTACGAGGGCCCGCTGGCCGTCATGGTGTCCCTCGTCAACGCCCGCGACACTCAAGTGCACCCGCACGGGCTGGCGAGCGCGGACGCACGCtacgcgggcgcgggcggcgttCTGCTGATGGCGGCGCGCGGGCCGCGGGTCGCGCTCCCCAACGTCGGCGTCGTCTGCGTGCGCAGGAAGAACGCCGCCGACATCGCCGACGCTTTTCGTCAACGCAGAAACGTAAAAGTGGATCCATTTCGAGGTGAGACCCTATATTTGAACTGA
Protein Sequence
MGERPAPAPAVVIAEQPASRHRFRYKSELGPRRYVDVILGAHSSPGARSYPAIEVPGYEGPLAVMVSLVNARDKHSPGARSYPAVEVPGYEGPLAVMVSLVYPAVEVPGYEGPLAVMVSPGARSYPAVEVPGYEGPLAVMVSLVNARDKHSPGARSYSAVEVPGYEGPLAVMVSLVNARDTQVHPHGLASADARYAGAGGVLLMAARGPRVALPNVGVVCVRRKNAADIADAFRQRRNVKVDPFRGETLYLN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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