Basic Information

Gene Symbol
Su(H)
Assembly
GCA_963924505.1
Location
OZ004666.1:4609261-4610142[+]

Transcription Factor Domain

TF Family
CSL
Domain
BTD domain
PFAM
PF09270
TF Group
Beta-Scaffold Factors
Description
Members of this family of DNA binding domains adopt a beta-trefoil fold, that is, a capped beta-barrel with internal pseudo threefold symmetry. In the DNA-binding protein LAG-1, it also is the site of mutually exclusive interactions with NotchIC (and the viral protein EBNA2) and co-repressors (SMRT/N-Cor and CIR) [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 1.4 1.7e+04 -3.7 0.0 26 43 188 205 179 210 0.40
2 2 2.4e-31 3.1e-27 95.6 0.0 1 62 224 285 224 290 0.98

Sequence Information

Coding Sequence
ATGCCGCACCAGTTCGGGAGCGGCGCGGGCGGCATGGCGGCGGGCGGGCCGTCGCCGCCGCCGCAGCACGGCGCGCTGTTCCCGCGCTACGCCAGCGCCGCGGGCCCCGGCGCCGGCGCCTACCGCCCCGACGAGCGCCGCCTCACCCGCGAGGCCATGGAGCGCTACCTGCGCGACAGATCAGACATGGTTGTCGTCATACTTCACGCTAAAGTTGCACAAAAATCTTACGGTAACGAGAAACGCTTCTTCTGCCCGCCCCCTTGTATTTACTTATTCGGCGACGGCTGGAGACTGCGCCGCGAGCGCATGCTCCGAGAGGGTGAAACAGAACAGGCGTCTCAACTATGCGCATTCATCGGCATCGGTAATTCCGATCAGGACATGCAGCAATTAGACTTAAATAACGGAAAACAGTACTGTGCCGCTAAAACGTTGTACATATCAGATTCTGATAAACGAAAACATTTCATGTTGTCTGTAAAAATGTTTTACGGCAATGGACATGATATTggaatatttaatagtaaaagaaTAAAAGTAATATCAAAGCCTTCGAAAAAGAAGCAGAGTCTGAAGAATGCGGATTTGTGTATAGCAAGTGGAACGAAGGTGGCACTGTTTAATAGGCTGAGATCTCAGACGGTGTCTACGAGGTACCTTCATGTGGAGAATGGTAACTTCCATGCTTCGTCGACGCAATGGGGAGCGTTCACAATACACCTGCTGGATGACAATGAGAGTGAATCGGAGGAGTTTGCCGTCAGGGATGGATATGTACACTATGGCTCAACTGTGAAGCTTGTCTGCTCCGTGACTGGCATGGCACTACCAAGACTGATAATAAGAAAGGTAATTTGTTTGATGTTAACATCTAATTAA
Protein Sequence
MPHQFGSGAGGMAAGGPSPPPQHGALFPRYASAAGPGAGAYRPDERRLTREAMERYLRDRSDMVVVILHAKVAQKSYGNEKRFFCPPPCIYLFGDGWRLRRERMLREGETEQASQLCAFIGIGNSDQDMQQLDLNNGKQYCAAKTLYISDSDKRKHFMLSVKMFYGNGHDIGIFNSKRIKVISKPSKKKQSLKNADLCIASGTKVALFNRLRSQTVSTRYLHVENGNFHASSTQWGAFTIHLLDDNESESEEFAVRDGYVHYGSTVKLVCSVTGMALPRLIIRKVICLMLTSN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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