Basic Information

Gene Symbol
bab1
Assembly
GCA_949987625.1
Location
OX465099.1:4450474-4455672[-]

Transcription Factor Domain

TF Family
BTB
Domain
zf-C2H2|ZBTB
PFAM
PF00651
TF Group
Zinc-Coordinating Group
Description
The BTB (for BR-C, ttk and bab) [6] or POZ (for Pox virus and Zinc finger) [1] domain is present near the N-terminus of a fraction of zinc finger (Pfam:PF00096) proteins and in proteins that contain the Pfam:PF01344 motif such as Kelch and a family of pox virus proteins. The BTB/POZ domain mediates homomeric dimerisation and in some instances heteromeric dimerisation [1]. The structure of the dimerised PLZF BTB/POZ domain has been solved and consists of a tightly intertwined homodimer. The central scaffolding of the protein is made up of a cluster of alpha-helices flanked by short beta-sheets at both the top and bottom of the molecule [2]. POZ domains from several zinc finger proteins have been shown to mediate transcriptional repression and to interact with components of histone deacetylase co-repressor complexes including N-CoR and SMRT [5, 3, 4]. The POZ or BTB domain is also known as BR-C/Ttk or ZiN.
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 9e-23 5e-20 73.0 0.4 1 83 37 116 37 119 0.92

Sequence Information

Coding Sequence
ATGGAGGATCGGAAAGAAAAGTATTGGGGCATACATTACAGCGGAGGGATGGCCGGGCAGCATTACTGCCTGCGCTGGAACAACTACCAGTCGAACATGACGTCCGTGTTCCATCAGCTCTTGCAGACCGAGGCGTTCGTCGACGTGACCCTCGCCTGCAACGAGGCCTCCTTGAAGGCGCAcaagGTGGTACTTTCCGCATGCAGTTCCTACTTTCAGAAGCTGTTGCTGTCGAACCCCTGCAAGCATCCGACCATCATCATGCCCCAGGACGTCTGCTTCAATGACCTCAAATTCATTATCGAATTCGTCTACAGGGGCGAGATCGACGTCTCCCAGGCAGAGCTTCAGTTTGCCAGGGTCCCGCATCATCGTCGTCGTGAACCTATTCCATCCTCCAGCGCGGCAATAAAACCCAGCAACGGCATGCCATGTAATAGCGGCAACAGTAGCAACATCAACAACGACTAA
Protein Sequence
MEDRKEKYWGIHYSGGMAGQHYCLRWNNYQSNMTSVFHQLLQTEAFVDVTLACNEASLKAHKVVLSACSSYFQKLLLSNPCKHPTIIMPQDVCFNDLKFIIEFVYRGEIDVSQAELQFARVPHHRRREPIPSSSAAIKPSNGMPCNSGNSSNINND

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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