Aalb010817.1


Basic Information
Transcription Factor Domain
Sequence Information
Similer Transcription Factors

Basic Information

Insect
Argyresthia albistria
Gene Symbol
MBD-R2
Assembly
GCA_963457715.1
Location
OY735262.1:3418596-3430372[-]

Transcription Factor Domain

TF Family
MBD
Domain
MBD domain
PFAM
PF01429
TF Group
Unclassified Structure
Description
The Methyl-CpG binding domain (MBD) binds to DNA that contains one or more symmetrically methylated CpGs [2]. DNA methylation in animals is associated with alterations in chromatin structure and silencing of gene expression. MBD has negligible non-specific affinity for DNA. In vitro foot-printing with MeCP2 showed the MBD can protect a 12 nucleotide region surrounding a methyl CpG pair [2]. MBDs are found in several Methyl-CpG binding proteins and also DNA demethylase [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 1 7.4e-14 2.8e-10 40.2 0.0 7 54 4 51 1 88 0.92

Sequence Information

Coding Sequence
ATGACTGTAGAAGACAAGCGGCTGCCTCCTGGCTGGAGCAAGCACATGGTGCGCCGCAGCCTCGGCTCCTCGGCCGGCAAGTGGGACGTCGTGATAGTCGCCCCGGACAACAAACGCCTACACACCAAAACAGACATGCGCCACTATCTCGAGGGTATAAGAGCCGATGAGGATCGCGAGGCCTTGGAACCCTTCGAGCATGTCCTACTAGACTTCGGCGTCCACCGCAAGATGGCGCGCCGGCTCGGCTGGGATACGAAAACTGTGGGGCCGGACGGAGATGTGAGGCCGCCGCCGCTTATCAGTACGACGTCGCCGCTGGTGAAATTGACGAAGATGAACGTTCGGAAGGAGAAGGCCAAACTGGCGAATGCGAAGAAGCGGAAGATGAGCTTTGGAGCGTACTCTAACGCGTCATCTTCCACGTCATCGCCAGCGAACCAAACCTTAGCTGGCGCTGTGACGCCCGGCGAATCCAGCTTCGAACATCCGCCATTGGAAGACGGATACGTATATGTTGGTTCGTTGAAAGTACAAATAATCGAGAATCTCCTCCGGTGCCCGGCCGACGGCTGCTTCAAAAACTTCCGGACTCCCACACTGCTGCAAATGCACATCAAGCACTACCACAGAGAAATGCGCAAATTGATGGGCGCGACGCCCAAAGTAGCCGACCTGGCCTCGGCCAGAGCCACGCCCCTAATGCCGGACAAAATCAAGTCGGAAAACGAACCCAAAGTCCCcaaactaaaaataaacaaaaaacgcTTCGAAGAAGTAAAGCCAGAGCTCGCAGAATACAAATACGAGCTGAAAACGGAAACGTCACCAATGACGACACCCACCAAAACCGACCCGGACAACATACCCCGGTCCCAAGACTCCCCGAGGCTGAGAACCGCGCTCGCATCTCGCTCTAAACCGCACAAGCGCCCGAGAGTCCTCCTACCGGTCAGAAAAGAAGAGCAAGGCGACGCAGACTCCACAGACTCCACCGACTCGGATATCGACGTATCGTCCAACGTGGTACCGCTAGACTTCGAATCAGCCATATCCACCCACACAGTCACAAAACCGATCTCGTctgaaaagaagaagaagggagAGAAACGCAAAAAGACCTTCGCCACAATATCCAAGGTGAAGCCAGGCAGCGAGGATGAAGAATGGGGTGCCAATTCTGATTACGAGACGAGGTCGAGTTTCCCGCGGTCGGGCAGTCCAGACTCCAAGTTGGACACGCCTACGATGCCGGTGTCGTCGGAGTCCACTGAGGATCAGAAGGACCCTAATATGTACATGTTGACTGAGACCGGCGAGCGTATAAAGCTGGTGCACATGAAACGCGAGGAAATCATCAACTGTCACTGCACGGTGCGCGAGGAGGACGGGCTCATGATACAGTGCGAGCTGTGTCTCTGTTGGCAGCATGCGCTGTGCCACAACATACACAAGGAGGCTGAGgTCCCAGAGAAGTACACCTGCTCGATCTGTCTGAACCCGCGGCTCGGCCGGCGCTCGCGCCGCTTCCTGCACGACCAGGACCGGCTGTACGAGGGGCTGCTGCCGGGCGCGCGCGCCTGCCCCTCGCTGCGGCGCGCGCACGAACTGTCCGGCAACCTTCTCGGCATACAGGACGCACTGCACGCGCTCAGGGTGAAGAACTATGTCGCCACTAAAAAGGACCACCCGAAGCTGTATCTATGGGCGTCGGAGTGGGAGACCGGCGAGAGCTTCACGTCGGCGCTGACGGCGGACTACGCGGACTTCAGCGCGATGATCAACTCGCTCAACAAGGAGAACATGCCGCATGACGACGTCGACCGCCTGAGCCGCGGCGCGGGCGGCAGTCAGCTGGGCTCGCTGTCGGGTCTGCTGTCGAGTCCGGGCGGCGCGTCGCTCGACCTGCCCATCAGCACCAGCGATCTGGAGCGCCTCGCCAAGTCTGTGCAGGAGGCAGAGGCGCTTCGCACGAACGTGATAGTCCCGCAGCCGGAAGCGCCGATCGAGAACAGCGTGTGCCGCGAGCGCCTGCTACGTCACATCCGGCGCTGTCAGGCGCTCGTCGACGCTCGCCTCGACTCCATAGAGGCGCAGGTCGCAGAACTGGAGTCCCAAGACCCGTCATTCGAGGACGACGAGACTGCAGACTACTTCCCTCGCACCAAGCAAACCATACAGATGCTACTGCGAGACCTGGACACTATGGAGGAACTGGCAGTCATCACCTGA
Protein Sequence
MTVEDKRLPPGWSKHMVRRSLGSSAGKWDVVIVAPDNKRLHTKTDMRHYLEGIRADEDREALEPFEHVLLDFGVHRKMARRLGWDTKTVGPDGDVRPPPLISTTSPLVKLTKMNVRKEKAKLANAKKRKMSFGAYSNASSSTSSPANQTLAGAVTPGESSFEHPPLEDGYVYVGSLKVQIIENLLRCPADGCFKNFRTPTLLQMHIKHYHREMRKLMGATPKVADLASARATPLMPDKIKSENEPKVPKLKINKKRFEEVKPELAEYKYELKTETSPMTTPTKTDPDNIPRSQDSPRLRTALASRSKPHKRPRVLLPVRKEEQGDADSTDSTDSDIDVSSNVVPLDFESAISTHTVTKPISSEKKKKGEKRKKTFATISKVKPGSEDEEWGANSDYETRSSFPRSGSPDSKLDTPTMPVSSESTEDQKDPNMYMLTETGERIKLVHMKREEIINCHCTVREEDGLMIQCELCLCWQHALCHNIHKEAEVPEKYTCSICLNPRLGRRSRRFLHDQDRLYEGLLPGARACPSLRRAHELSGNLLGIQDALHALRVKNYVATKKDHPKLYLWASEWETGESFTSALTADYADFSAMINSLNKENMPHDDVDRLSRGAGGSQLGSLSGLLSSPGGASLDLPISTSDLERLAKSVQEAEALRTNVIVPQPEAPIENSVCRERLLRHIRRCQALVDARLDSIEAQVAELESQDPSFEDDETADYFPRTKQTIQMLLRDLDTMEELAVIT

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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