Basic Information

Gene Symbol
TBX20
Assembly
GCA_963082625.1
Location
OY720238.1:15900024-15929392[-]

Transcription Factor Domain

TF Family
T-box
Domain
T-box domain
PFAM
PF00907
TF Group
Unclassified Structure
Description
The T-box encodes a 180 amino acid domain that binds to DNA. Genes encoding T-box proteins are found in a wide range of animals, but not in other kingdoms such as plants. Family members are all thought to bind to the DNA consensus sequence TCACACCT. they are found exclusively in the nucleus, and perform DNA-binding and transcriptional activation/repression roles. They are generally required for development of the specific tissues they are expressed in, and mutations in T-box genes are implicated in human conditions such as DiGeorge syndrome and X-linked cleft palate, which feature malformations [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 13 8.2e-27 2.1e-23 84.3 0.0 28 115 1 90 1 98 0.95
2 13 4e-18 1e-14 56.0 0.0 51 116 98 165 95 170 0.93
3 13 2.6e-17 6.5e-14 53.3 0.0 51 115 171 237 168 244 0.90
4 13 4e-18 1e-14 56.0 0.0 51 116 245 312 243 318 0.93
5 13 8.9e-18 2.3e-14 54.8 0.0 51 118 318 387 315 388 0.91
6 13 4e-18 1e-14 56.0 0.0 51 116 386 453 384 459 0.93
7 13 2.7e-18 6.8e-15 56.5 0.0 51 118 459 528 456 529 0.93
8 13 4.1e-18 1e-14 55.9 0.0 51 116 527 594 525 599 0.93
9 13 4e-18 1e-14 56.0 0.0 51 116 600 667 597 672 0.93
10 13 1.5e-17 3.7e-14 54.1 0.0 51 113 673 737 668 739 0.93
11 13 5e-11 1.3e-07 32.9 0.0 68 116 736 784 734 789 0.92
12 13 1.5e-17 3.8e-14 54.1 0.0 51 113 790 854 787 856 0.93
13 13 9.6e-44 2.4e-40 139.5 0.0 68 182 853 970 852 970 0.96

Sequence Information

Coding Sequence
ATGTTCCCGACGGTGCGAGTGTCGTTCGCGGGCTGCCGCGCGGAGGCGCGCTACGCCGTGCTGCTGGACGTGGTGCCGGTGGACGGCAAGCGCTACCGCTACGCCTACCACCGCTCCTCGTGGCTGGTCGCCGGCAAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCCTACTCCGGCGACCAGCTGCGCAAGCAGGTCGTCTCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGACAGTGGACAGGTAATTCAAAGCTCATTGTGCCGGTGGACGGCAAGCGCTACCGCTACGCCTACCACCGCTCCTCGTGGCTGGTGGCCGGCAAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCCTACTCCGGCGACCAGCTGCGCAAGCAGGTCGTATCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGGCAGGTATGTAAGTCAAAGCTCATTGTGCCGGTGGAAGGCAAGCGCTACCGCTACGCCTACCACCGCTCCTCGTGGCTGGTCGCCGGCAAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCATACTCCGGCGACCAGCTGCGCAAGCAGGTCGTCTCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGACAGTGGACAGGTAATTCAAAGCTCATTGTGCCGGTGGACGGCAAGCGCTACCGCTACGCCTACCACCGCTCCTCGTGGCTGGTGGCCGGCAAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCCTACTCCGGCGACCAGCTGCGCAAGCAGGTCGTATCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGGCAGGTATGTAAGTCAAAGCTCATTGTGCCGGTGGAAGGCAAGCGCTACCGCTACGCCTACCACCGCTCCTCGTGGCTGGTCGCCGGCAAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCCTACTCCGGCGACCAGCTGCGCAAGCAGGTCGTCTCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGACAGCTCATTGTGCCGGTGGACGGCAAGCGCTACCGCTACGCCTACCACCGCTCCTCGTGGCTGGTCGCCGGCAAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCCTACTCCGGCGACCAGCTGCGCAAGCAGGTCGTCTCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGGCAGGTATGTAAGTCAAAGCTCATTGTGCCGGTGGACGGCAAGCGCTACCGCTACGCCTACCACCGCTCCTCGTGGCTGGTCGCCGGCAAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCCTACTCCGGCGACCAGCTGCGCAAGCAGGTCGTCTCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGACAGCTCATTGTGCCGGTGGACGGCAAGCGCTACCGCTACGCCTACCACCGCTCCTCGTGGCTGGTCGCCGGCAAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCCTACTCCGGCGACCAGCTGCGCAAGCAGGTCGTCTCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGGCAGGTATGTAAGTCAAAGCTCATTGTGCCGGTGGACGGCAAGCGCTACCGCTACGCCTACCACCGCTCCTCGTGGCTGGTCGCCGGCAAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCCTACTCCGGCGACCAGCTGCGCAAGCAGGTCGTCTCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGGCAGGTATGTAAGTCAAAGCTCATTGTGCCGGTGGACGGCAAGCGCTACCGCTACGCCTACCACCGCTCCTCGTGGCTGGTCGCCGGCAAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCATACTCCGGCGACCAGCTGCGCAAGCAGGTCGTCTCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGACAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCCTACTCCGGCGACCAGCTGCGCAAGCAGGTCGTCTCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGGCAGGTATGTAAGTCAAAGCTCATTGTGCCGGTGGACGGCAAGCGCTACCGCTACGCCTACCACCGCTCCTCGTGGCTGGTCGCCGGCAAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCCTACTCCGGCGACCAGCTGCGCAAGCAGGTCGTCTCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGACAGGCGgacccgcccgcgcccgcgcgcctcTACCCGCACCCCGACTCGCCCTACTCCGGCGACCAGCTGCGCAAGCAGGTCGTATCCTTCGAGAAGGTCAAACTCACCAACAACGAGATGGACAAGAGTGGACAGATTGTGCTGAACTCAATGCACCGGTACCAGCCCCGTATCCACCTGGTGAAAGTACGAGAAGGCGGCGGGCCCATTACGGACCTGACGCGGGAGCAGCACCGCACATTTGTGTTCCCGGAGACAGTGTTCACAGCCGTCACCGCCTACCAGAACCAACTCATCACCAAGCTAAAAATCGATTCGAACCCCTTCGCTAAGGGCTTCCGAGACTCCTCAAGGCTTACTGACTTTGACAGAGATCCCATGGAGCTGATGCTAATGGAACAGCAGCTACTGCGCTCCCCACTGCGGCTGTACGCAGGCGCAAGCGCGGGCGAGAACGAAGAGGACAAGCGGGCGGCGTGGGCGCGCACTCCGCCGGCGCTGCAACTCTTAGCTCTTGGAGGACGACCGTGGCCTTCCTGGCCGCAGCCACTGTCTCTCCCCCCAGACCTCTGGATGCAAAAACCCCACGCTCCGGTCCGCTACTGCCCGTACCCGCTCCCCTCGCACCCGCGCGACCTCGCGCCCTCCCCGCGGCACCCGCTGTGA
Protein Sequence
MFPTVRVSFAGCRAEARYAVLLDVVPVDGKRYRYAYHRSSWLVAGKADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQWTGNSKLIVPVDGKRYRYAYHRSSWLVAGKADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQVCKSKLIVPVEGKRYRYAYHRSSWLVAGKADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQWTGNSKLIVPVDGKRYRYAYHRSSWLVAGKADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQVCKSKLIVPVEGKRYRYAYHRSSWLVAGKADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQLIVPVDGKRYRYAYHRSSWLVAGKADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQVCKSKLIVPVDGKRYRYAYHRSSWLVAGKADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQLIVPVDGKRYRYAYHRSSWLVAGKADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQVCKSKLIVPVDGKRYRYAYHRSSWLVAGKADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQVCKSKLIVPVDGKRYRYAYHRSSWLVAGKADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQVCKSKLIVPVDGKRYRYAYHRSSWLVAGKADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQADPPAPARLYPHPDSPYSGDQLRKQVVSFEKVKLTNNEMDKSGQIVLNSMHRYQPRIHLVKVREGGGPITDLTREQHRTFVFPETVFTAVTAYQNQLITKLKIDSNPFAKGFRDSSRLTDFDRDPMELMLMEQQLLRSPLRLYAGASAGENEEDKRAAWARTPPALQLLALGGRPWPSWPQPLSLPPDLWMQKPHAPVRYCPYPLPSHPRDLAPSPRHPL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
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90% Identity
-
80% Identity
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