Basic Information

Gene Symbol
PAXBP1
Assembly
GCA_963971135.1
Location
OZ020180.1:9374790-9377385[-]

Transcription Factor Domain

TF Family
GCFC
Domain
GCFC domain
PFAM
PF07842
TF Group
Unclassified Structure
Description
This entry describes a domain found in a number of GC-rich sequence DNA-binding factor proteins and homologues [4, 5], as well as in a number of other proteins including Tuftelin-interacting protein 11 [1]. While the function of the domain is unknown, some of the proteins it is found in are reported to be involved in pre-mRNA splicing [1, 2]. This domain is also found in Sip1, a septin interacting protein [3].
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 3.5e-29 8.3e-25 89.3 0.2 3 272 502 710 500 712 0.91

Sequence Information

Coding Sequence
ATGTCGTTGtttcgaaaaccaaaaaaaggTATACAAAGACGTGTTTTTTCCCAACAAAACGATGAAGATGAAGAATCTGAAGAAGTCAATACCGTATCCTCAGAAGAAAAACCGAAAAAGGATAAACAACCAAAGAATAAAGAACCGAAAAAAGCTTCGCTGCTCAGTTTCGAAACAGATGAAGAAGGTgaagtatttcaaattaaaaaatcctcGCACAGTAAAAAGATGATGCGTATGTACGAAAAAGAGAGAAAGCGCAAAGAACCGAAAGAGAGTACAAAAGTTAAAGATGAACCGTTGGTTGCTCCACCTGCACCAAGGATTAATGAAATCATAACTGATGATCTAATATTAGTGGTTAATCATAAAATACCTGCTCCTCCACCTCCTCCACAAATTTTAGCCGGCAAAGATGCACTCTGTGCCGGTAAAGATGATTTATCGTCAGAAGAAGAGGAATCGCTTACGAAACACAAATTTTCTAAGCCTGATAATTTTAAACGAGTTTTGGAGTCGGGTGCAATACCCGATGCGGCCATGATTCATGCAGCTCGAAAGAAAAGGCAACGAGCTAGGGAAATGGGCGATGTTATTCCACTTGAAGAGGAAGAAGTTGAAGATAAGGGACGGTTGTTACGGGAGGATGAGAACGATGAAAGTGATGAAGAACGTATAGATATGGGATTAAATCCATTTAAAAGAGACCAAGAAAGACGTCGTGAGCGATTTTATGAAGCTCAAGATTCGGATCAAGAGGTGAATGAGTGGGAAGATCAACAAATACGTAAAGGTGTTACAGGAATGgctttaaataatgaaataattaacaatTATGACCTTGAGCCCATTCATCAAAACTACCAGCAAATTATGACAAAAATGGAACCTGGTGTTCCTAGAACACCCgaaactattttagaaaagttgaaagaACATTATGACACCAAAGTTAAATCAAAAGAGGAGCATGTGCAACAATTAAAAGAAGtgcaaagaaatttaattagcaGTGCTGAAGAATTGGAGACTTTAAAAATATCAGCTCCAAAAGCCGCtgataaatttagattttatcaAGAATTGAGAGGATATGTGACGGATTTAGTAGAGTGTATGGATGAGAAGGTTGGTACTTTAAGCAATTTAGAGTTAAGAGCCTTGGATTTAATGGCTAAAAAATCGGAATGGTTGATAGAAAGGCGGAGGCAAGATGTTAGGGATCAAGCTGATGAAGTAACTAATGCAGGTAAACGTGTATTGGGTCAAAAAGCTCCGGAAGATGAAGAAAAATTACGTCGCGGTGTTGAACGTGAAGGTAGAAGAACGAGAAGAAGGAAAGCAAGAGATACTAATGGTGAGCCACGTCACATGGAAGGAATGTCTAGTGATGATGAAATTCCACAACAAGACACCATTTCATTTGATAAAGATAAAGAACAGCTTCAAATAGAAATTCAGGAATTGTTTGAGGATGTTGTTGATGACTATTCTTCAATTGCAAATATCCTAATTAAATTTGAGCAATGGCGTGAGAACGATATTAGTGCATATGTTGAGGCTTATGCCACATTATGTATTCCAAAAGTTGTTAGCCCATTAATtaggttaaatttaatattttgggaTCCTTTAAGTGAAAATGCTGTAGATTTAGAAAAACTGGAATGGTATCGTACTTTAGCCCTTTATGGATTGCATGATAATGAAACTGAAGTTAGTTTGAGTAAAGATCCTGATTTAGGGCTTCTTCCGACTATTATTGAGAAAGTAGTTGTAccaaaattaacattaatgGTTGAAAAATGTTGGGATCCACTTTCCAGTAGCCAAACTTTACGATTGGTTGGCATGATTGGAAGGTACATTAGAAAATTTCCTAGTCTAGGACCCGACAGCAAAGCATTACACACTTTATTCAacacaattttacaaaaattaatggcGGCTTTGGAAAACGATGTTTTTATTCCCATTTTGCCTAGATTAGCGGAAACGAGAAATCCTTTCTTTCAAAGGCAGTTTGCAAgtggattaaaattattaagaaacatAACTTGTTGGCAAGgaattttaaatgataattCTTTAAAGGACTTGGCTTTAAATTCGTTATTAAATCGGTATTTAATTAGTGCTATAAGAGTTTGCAGTTTAACTGATGCCGTTTCAAAAATGCAATTTGTTAGTTTAATATTACCTCGGGTTTGGTTGCAAGGTGATAAATCACACCTTCAAATGTTCACCTCGTGTGTTATGAATTTATCACAACAATTAGATAGGGACAATCCCTTGCATTTAGAATCAATTGAAATTGCcggtaatattttaaaaactttgagaTCTTAA
Protein Sequence
MSLFRKPKKGIQRRVFSQQNDEDEESEEVNTVSSEEKPKKDKQPKNKEPKKASLLSFETDEEGEVFQIKKSSHSKKMMRMYEKERKRKEPKESTKVKDEPLVAPPAPRINEIITDDLILVVNHKIPAPPPPPQILAGKDALCAGKDDLSSEEEESLTKHKFSKPDNFKRVLESGAIPDAAMIHAARKKRQRAREMGDVIPLEEEEVEDKGRLLREDENDESDEERIDMGLNPFKRDQERRRERFYEAQDSDQEVNEWEDQQIRKGVTGMALNNEIINNYDLEPIHQNYQQIMTKMEPGVPRTPETILEKLKEHYDTKVKSKEEHVQQLKEVQRNLISSAEELETLKISAPKAADKFRFYQELRGYVTDLVECMDEKVGTLSNLELRALDLMAKKSEWLIERRRQDVRDQADEVTNAGKRVLGQKAPEDEEKLRRGVEREGRRTRRRKARDTNGEPRHMEGMSSDDEIPQQDTISFDKDKEQLQIEIQELFEDVVDDYSSIANILIKFEQWRENDISAYVEAYATLCIPKVVSPLIRLNLIFWDPLSENAVDLEKLEWYRTLALYGLHDNETEVSLSKDPDLGLLPTIIEKVVVPKLTLMVEKCWDPLSSSQTLRLVGMIGRYIRKFPSLGPDSKALHTLFNTILQKLMAALENDVFIPILPRLAETRNPFFQRQFASGLKLLRNITCWQGILNDNSLKDLALNSLLNRYLISAIRVCSLTDAVSKMQFVSLILPRVWLQGDKSHLQMFTSCVMNLSQQLDRDNPLHLESIEIAGNILKTLRS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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