Basic Information

Gene Symbol
lz
Assembly
GCA_035044505.1
Location
JAWNNX010000294.1:13302-25781[-]

Transcription Factor Domain

TF Family
Runt
Domain
Runt domain
PFAM
PF00853
TF Group
Beta-Scaffold Factors
Description
The AML1 gene is rearranged by the t(8;21) translocation in acute myeloid leukemia [1]. The gene is highly similar to the Drosophila melanogaster segmentation gene runt and to the mouse transcription factor PEBP2 alpha subunit gene [1]. The region of shared similarity, known as the Runt domain, is responsible for DNA-binding and protein-protein interaction.In addition to the highly-conserved Runt domain, the AML-1 gene product carries a putative ATP-binding site (GRSGRGKS), and has a C-terminal region rich in proline and serine residues. The protein (known as acute myeloid leukemia 1 protein, oncogene AML-1, core-binding factor (CBF), alpha-B subunit, etc.) binds to the core site, 5'-pygpyggt-3', of a number of enhancers and promoters.
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 3 1.3 3.7e+03 -2.4 1.2 49 73 59 83 53 96 0.72
2 3 4.3 1.2e+04 -4.1 0.7 66 84 105 123 87 128 0.50
3 3 2e-70 5.9e-67 223.3 0.0 5 129 134 258 130 258 0.98

Sequence Information

Coding Sequence
ATGGTAACATCTTCAGCATCGCCCACAGGGACGGGTTGGTCAGCTCCTGCAGAATATAAAAGCGCCACTTCAGCTGTTGCAGCTacaacgacagcagcggcTGGTGTCATGTGCGAAGTGTTGCCATCTAGCACTACCAGCATTGGCAGCAGCTCGCCAACAGGAGGAGCCAGCAACGGTACTGTCAATAGTGCACATAgtggaagcaacaaaaatacaagtctttcaataaataataacaacatcaacaacagcaatactaatactaataataataataataataataataataataatagtaataacaataacaatagtaataataataatagcactaataataataatgcagtACATCAGGATCTTATATGGATGGAGAGATTTGTGTTGGAAAGGCAACAAGAGTATCCAGGAGAATTGGtgCGTACAAGTAATCCGTATTTCCTCTGCTCCGCCTTGCCATCTCACTGGAGATCGAACAAAACATTGCCGTTGGCTTTTAAAGTTGTCGCCCTGGCAGACGTTGGCGATGGTACCTATGTAACTATTCGGGCAGGAAATGATGAGAACTGCTGCGCTGAACTGCGAAACTACACAGCGCAGATGAAGAACGGTGTGGCCAAATTTAATGATTTGCGCTTCGTAGGACGTAGTGGTCGAGGAAAGAGCTTTACACTCACAATTACCGTTGCAACGAGTCCACCGCAGGTGGCTACCTATGCGAAAGCCATCAAAGTTACTGTTGACGGGCCAAGGGAACCTCGCTCCAAGACAAGTTCTCCAGGCAATCCCCAATACACAGCTCTTCGCTTGGGCCAGCGACCGTTTATAGATGGTTTCCCAAAAACATTTCACGAACTGGAAACTTTGAGACGCTCCGCAAAAGTAGCAGCGGCCACGACTGCAGCAGCCGCGGCAGCATCGGTTGCAGCATCTGTTACATCTACAGACGGTTCTTTAACCACGAGCGTAAGCATTTCCCAGCAATTGGGCAGCAATTATTCATCTTCGAATAGCACAATTAATTCGGACTGCTACAAACCCAATGCGCCTCAGATTCAAGaaacCGAATTAATAGGAGCAGCTGAGTGGACAGGCTCAGCGAATTGTGGTGCTAACGTTGCCTATTCCGTGGGAATGGCTGTTCCATATCATCATGCACATCATACTCACGCTCACAGCCATTCGCATTCACACAATCATGCAACACATCACCATCATGCACACCACTTACAGCACCAAGTGCCGTTACCGCCTCCCCCGCCACCACCAGCCGCAGCTCCTGTGCCCGTACCCAACACAACAGCTATGAATCACTACGGCAGTGCTATGGGAAGCTATGAAACAACCTCGTTGGACGCGGGTAATTATCATATATCGACGGTACTTCCAGATATGCACGGCTTTTCAACGGATCCGTATCAAACTGCTGCCGCCGGCGGCTATGGTGGTACCACCTCAAAATCCGATCTGGAGTCACTTAACGCAAGCTATGGGGCGACAAGTGCGTATAACAATGCTGCTTGGTCCAACGGATTGAACAACTACCAGTATGGTAGCTGTTCAGCGACTACAGCTCAGTATAGTGGAGCCACTGGCCATGGAGCagcgccaccaccaccagtaGTACTTTATCCACAGCTCTACTCAACTGtcaaccaaaaccaaatccaCCTTCACCTACACAGCAGCGAGAAGCTGGAACAGTACCTGGCTACAGACCAACAGCTTACTATCAGCTCAATAACCGGCAATCGTTCTAGCATTGAGATTGGATTAGGAGCCAGTGGTAATGGTAGCGGTGGTGTCGTACAGGAGGACCAGGATCAACATGCTGCCGTTTCCATTGCAGAACAGGCTGCAGAAGGGACCGCACAAAACTATCActtacatcatcatcatcaccatcaccacgAGACACAGCGGCATATGGAggcacaacagcagccgcaacagcatcAGAACGACGGCAACAGTGATGCTGCCCGCGAAGACGACGTTAGCGACCTAACGCAAGTTTGGCGTCCATATTGA
Protein Sequence
MVTSSASPTGTGWSAPAEYKSATSAVAATTTAAAGVMCEVLPSSTTSIGSSSPTGGASNGTVNSAHSGSNKNTSLSINNNNINNSNTNTNNNNNNNNNNNSNNNNNSNNNNSTNNNNAVHQDLIWMERFVLERQQEYPGELVRTSNPYFLCSALPSHWRSNKTLPLAFKVVALADVGDGTYVTIRAGNDENCCAELRNYTAQMKNGVAKFNDLRFVGRSGRGKSFTLTITVATSPPQVATYAKAIKVTVDGPREPRSKTSSPGNPQYTALRLGQRPFIDGFPKTFHELETLRRSAKVAAATTAAAAAASVAASVTSTDGSLTTSVSISQQLGSNYSSSNSTINSDCYKPNAPQIQETELIGAAEWTGSANCGANVAYSVGMAVPYHHAHHTHAHSHSHSHNHATHHHHAHHLQHQVPLPPPPPPPAAAPVPVPNTTAMNHYGSAMGSYETTSLDAGNYHISTVLPDMHGFSTDPYQTAAAGGYGGTTSKSDLESLNASYGATSAYNNAAWSNGLNNYQYGSCSATTAQYSGATGHGAAPPPPVVLYPQLYSTVNQNQIHLHLHSSEKLEQYLATDQQLTISSITGNRSSIEIGLGASGNGSGGVVQEDQDQHAAVSIAEQAAEGTAQNYHLHHHHHHHHETQRHMEAQQQPQQHQNDGNSDAAREDDVSDLTQVWRPY

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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