Basic Information

Gene Symbol
MBD2
Assembly
GCA_018904225.1
Location
JAEIFT010000036.1:711237-713197[-]

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 3 0.4 1.2e+03 -0.8 0.0 1 13 9 21 9 22 0.89
2 3 9.6e-08 0.00029 20.4 0.1 34 55 58 79 53 84 0.89
3 3 8.4e-06 0.026 14.2 0.0 28 76 83 142 75 143 0.88

Sequence Information

Coding Sequence
ATGCAAATGAATCCGAGTGTGACAATTGAACGCAAACGCGTCGATTGTAGTGCACTGCCCAAGGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTTCTATTACAGTCCAACAGGCAAAAGAATTGAAAGCAAACCACAATTAGCTCGTCAATTGGGCAGCGAAATTCGCGCCCTACGCACAGATGTCTCCCTGGTGCCACCCATACGCCAAACTGCCTCAATTTTTAAGCAACCTGTCACTGCAATTCGCAATCATCATCAGGATTCCGGCAAAGTCAAACACGATGCCAAACATGGTGCCCAAGAGAAGCCGAAACAATTGTTCTGGGAAAAGAGGCTGGAACGATTACGGGCGTGCCACGACAATGGCGAAGAGCTAGACGACATATCACTGCCCAAAACCATACGCACCGTGGGACCCAATGTCAATGAACAGACTGTCCTGCAATCGGTGGCCACCGCCTTGCATATGCTCAATGCCGGTGTCCATGGTCAGAGCAGCACTAAGGCTGAGCTAACCAAGAATGCGATGGCATTCATGAATCCTGAACAGCCATTGATGCATGCGGTTATAATTTCCGAGGATGATATACGCAAGCAGGAGGATCGTGTGAGTGTGGCGCGACGAAAGCTACAGGATGCTCTGAAAACATGA
Protein Sequence
MQMNPSVTIERKRVDCSALPKXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXFYYSPTGKRIESKPQLARQLGSEIRALRTDVSLVPPIRQTASIFKQPVTAIRNHHQDSGKVKHDAKHGAQEKPKQLFWEKRLERLRACHDNGEELDDISLPKTIRTVGPNVNEQTVLQSVATALHMLNAGVHGQSSTKAELTKNAMAFMNPEQPLMHAVIISEDDIRKQEDRVSVARRKLQDALKT

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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