Basic Information

Gene Symbol
Myb
Assembly
GCA_963924495.1
Location
OZ004652.1:4508661-4524040[+]

Transcription Factor Domain

TF Family
MYB
Domain
Myb_DNA-binding domain
PFAM
PF00249
TF Group
Helix-turn-helix
Description
This family contains the DNA binding domains from Myb proteins, as well as the SANT domain family [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 3 7.2e-17 1e-13 51.7 0.4 2 45 44 87 43 88 0.95
2 3 3.1e-22 4.4e-19 68.9 2.0 1 46 94 140 94 140 0.98
3 3 5.9e-20 8.3e-17 61.6 0.5 1 44 146 189 146 191 0.96

Sequence Information

Coding Sequence
ATGCAGGATATATCTTGGCCAAATTATGATAGCGAGTCGAGCGATTACTCCGAGGACTCGGCGGTGTGTGACGATGCGCCGGCTGCAACCAAAGGCACTGTCTCGCGGAAGAATCCTCCCCCCAACAAGGCCCCTTGGACCAAAGACGagGACAAAAGGCTCAAAACATGCGTCAAGACACACGGCGAGAACTGGGAGCAAGTGGCCACTTTTTTCCCGCTTAGGACGGACGTGCAGTGTCAACAGCGGTGGACGAAGGTGGTCAATCCGGACCTGATCAAGGGTCCTTGGACGAAAGAGgaAGACGAAAAGGTCGTGGAGCTGGTGGCGAAATACGGCCCCAAGAAATGGACTCTCATCGCGCGACATCTCAAGGGGAGGATAGGGAAGCAGTGCAGAGAGAGATGGCACAATCACCTCAACCCCGCTATAAAGAAGACCGCGTGGACGGAACACGAAGACCGGGTGATATATCAGGCGCACAAGCAGCTCGGGAACCAGTGGGCCAAAATAGCTAAATTATTGCCTGGCAGGACCGACAACGCAATCAAAAATCACTGGAACTCGACAATGCGCCGCAAATACGAGCCGGACTTGGTTGACAATTTCGACTCAATCAGAAGGAGGAACACCCACCGATCGAAGTCGCTAAAACAGAACGAGAGCAATAGCAGCGCTCTTAGTGTTACTATTGAAAGTATTCATGAGCAGGACTGCAGTCAGCGGGATTGGAGGGACAGCCCCGATCAGAACGTGTCAAGCCAACCGGCGTCCAAGCAGATGTTGAATTTTAGGAAAGTGCTGCAGAACCAATTGGAGAACTCTTCGCAGCAGCCCAGGTCCCAGTCCTTGACGAAGAGGGAACTCGTGCCTGCCCAAATGGTGGAAATTGATCATTCGCCTTTCAAatttgTAAATATGGAAATATTACCGTCAACGTCGCCACTCAAATATCTACATCAGAGTCATGAGGAAACTAACCAAAATACAGtgactTACGCCCTGCAATCGGAAGTTTCTAAAGAAATAGTGATACCTTCTATATATATTTCACCGAACAGTAAAAATCTGTCAGCGAACACAACGCCACCTCCCATACTGAGGCGAGCAAGAGTGAGAAAAGCCAACGAGATGTCCCATAATGTCGTTAATTGCTGGACAGAGACAATAATGAAGGCGCTAGACACGCGAGAGAGCCCCGGCGGCGTGGCTGGCGTGGCCGGCGTGACACCGATCAAGGCGCTGCCGTTCAGTCCGTCGCAGTTCCTGAACTCGCCGAGCGCCATGAACTTTCCGGCTTTCGAAAATGTGCCGGGGTCTACGCCCGTTAGACTCACACCGGCGCAGGCCAGGGAAGCAGGAGCTAGCCCGTTGAACACGCCGACACCGACGCTGCCCTCCTCGAGCAACTTTAGTCCAAACATCACACCAATCAACAGGCGGACGCTTAAGACGTATACTCCCAAAACCCCGACGCCTTTCAAGAAAGCGTTGGCCGATTTAGAGAAGAAAACCGGCCACAAGTACGAGCCGTCCAGTCCCGGCCTCCTGGTAGAGGATATTACGGAGATGATAAAAAGAGAGGAGAACTCCGAAAGTACTATACAGCTGAATGACTCGTTGTTGTCTTCGACGGCGGAGCAGGATGTCAGCGTTAATCCGCAGGCCGTACATGATTCCGGCATCGGCAGTCTTAAGCGGCGTTGCTCCGAGAGTGCGGTTCAGGGGAAGGAGAACACCTTGCCGGCCGGTGCGCCTCACAAGCGTGCTAGGAAAGCTCTGGCGAACAGCTGGGCCGGCGCTACGACCAGCACGCCCAGGGCACACTCCTCGCAAGAAACCTTGGTGCCGGACCTGTCATATATAGCCGAGACTccgAGCAAATTGGCGGGCGACAGCCTTGTGATGTTTTCGCCAAACTCTATCGTCAAGCAATCACTTCTAGAAGAATCAACGAGCATGCACAGTCTAATCAGCGTCGAAAACACGCCCGAACCTAACACCTTCCAAGACATCGACATTGAAGCGGCTATCTCTGAACGAACTAAGGTACAACACCGGTCCCAGCTTCCTACTAATCCCACTCATCAACCTAACACCCTATATTTACCACAATACACCGAAAATATGAACCCAAACGTTTTTAGAAATCTCACTAATATAGAATCGCCTAGGAGCTTCGCCAGACTTAACGCTGAGCGTTTGAGAACTATTGCCTCCGGGAACGAATTAGCCTGTGATAACCAATTAATAGCCCCAAAAGCGGTTTTAGCCAACGCGTTAGCCGACCATATATACAAAGTTACTAATCAAAAACCATCCACATCGCGTATAGATGAAATATTAACGAATAAAATAATGACTGGTAATGCTAAAAATGAATATACCGATCAGTTGGATTATTCGCAAAAGGAGAATCAATGGAATTGGAATAATAATCAAGTGAAAAGTGAGAGCCAAACTGAGGAAATATATCCCAATGATTATTACATGTTTAATTTATAA
Protein Sequence
MQDISWPNYDSESSDYSEDSAVCDDAPAATKGTVSRKNPPPNKAPWTKDEDKRLKTCVKTHGENWEQVATFFPLRTDVQCQQRWTKVVNPDLIKGPWTKEEDEKVVELVAKYGPKKWTLIARHLKGRIGKQCRERWHNHLNPAIKKTAWTEHEDRVIYQAHKQLGNQWAKIAKLLPGRTDNAIKNHWNSTMRRKYEPDLVDNFDSIRRRNTHRSKSLKQNESNSSALSVTIESIHEQDCSQRDWRDSPDQNVSSQPASKQMLNFRKVLQNQLENSSQQPRSQSLTKRELVPAQMVEIDHSPFKFVNMEILPSTSPLKYLHQSHEETNQNTVTYALQSEVSKEIVIPSIYISPNSKNLSANTTPPPILRRARVRKANEMSHNVVNCWTETIMKALDTRESPGGVAGVAGVTPIKALPFSPSQFLNSPSAMNFPAFENVPGSTPVRLTPAQAREAGASPLNTPTPTLPSSSNFSPNITPINRRTLKTYTPKTPTPFKKALADLEKKTGHKYEPSSPGLLVEDITEMIKREENSESTIQLNDSLLSSTAEQDVSVNPQAVHDSGIGSLKRRCSESAVQGKENTLPAGAPHKRARKALANSWAGATTSTPRAHSSQETLVPDLSYIAETPSKLAGDSLVMFSPNSIVKQSLLEESTSMHSLISVENTPEPNTFQDIDIEAAISERTKVQHRSQLPTNPTHQPNTLYLPQYTENMNPNVFRNLTNIESPRSFARLNAERLRTIASGNELACDNQLIAPKAVLANALADHIYKVTNQKPSTSRIDEILTNKIMTGNAKNEYTDQLDYSQKENQWNWNNNQVKSESQTEEIYPNDYYMFNL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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