Basic Information

Gene Symbol
JMJ15_1
Assembly
GCA_905220415.1
Location
HG991958.1:6676509-6692596[-]

Transcription Factor Domain

TF Family
ARID
Domain
ARID domain
PFAM
PF01388
TF Group
Helix-turn-helix
Description
This domain is know as ARID for AT-Rich Interaction Domain [2], and also known as the BRIGHT domain [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 2.4e-16 7.2e-13 49.1 0.1 17 89 600 668 586 668 0.86

Sequence Information

Coding Sequence
ATGGAGAAAGTCCAAGCACAACGCAAATTCGCCGCGGGCATACATGTTCCGGTTACGCGTCAAACGCAACAAGCCGCTGTGGACAGGAGAACAGCAACACCTCCCGAGTCAAGAGTCTTCCAAATACATACTACACCGAGCTCGATGTTGGATGTGGTCGCTTTCCAAGGTATACACACTCACAAGCAACCAGTTGTACTATTAAAAAGGTTAGAAGATACAATGCAGCCAAGTTGCAGCAAGAGCAGCGAAAATGGCGAATCTGAACCGCCCAATCGGTACCCAATACGTTCGAAGAGCAGAAAATCTGTACGGAGGGATCGTAGCAGTGATACAGGTTGTAGTAAAAAGAGAAAAATATCCAAGAAGAAGTCATCAAATAGTAATGCATTCATGGAAATAGAACAGTCCGTACCCATAACACCTGTTTCTGGAGCTTCTGCCGATCATATGATAGATGAGGAGGTAGAAAATGTTAATGGATATGGAAGCATGACGCCTCTTCCTAATACTACTGGCTGTAGAGCAGATAAGGAAGATTCTGGAATTGTGAACCAAGTTCCTTTTGGTGCTTTAACAGATTTACAATTTGAAAATTCTGATGAAGCCATCGCGAATTTAAATGTTAAAACTAAAAATGAGAGGACAGAAGACGAGCTAACATCACAGCAGCATAACTTGTGCAAAGGCTCTAGGAGGAACACCGGCAGTTGGCAGGTGACGAATTACGAAACCGTGAACCGTGTATATGTGTTTAAGCATTGCAATGTGACAAACGAGGATGACGGCGTTAGCATGAATGAATATGAAGAATTTTCAGACAATTCAGTTATTATTGATGATAGTGATGGACAGGACGCAGTTACGAGTAGCTCCATAACTTATACACCGGCACCGAACAACAATTGTGCACAAAATATAGACGATGCAACTCCATCTATTCAAAATCAAGCAAGTACACGTAGCAACACGAAAAAAACAAGAAACGAGTCATGCCCCTCGAGGCACATTACTTCTTTAAAGGAAATTGTTTGCTGTAGTAATACTGTTCTAAATAAAAAATGTAACGCGTGTAAATTCTGTTCAAAAATAAAACTCGTATCGACACTTGTGAAATCACTGGAGTCGTCGAGTTTCAACTTATTACTATCGGATCATATTAATGTTGAAAATCTTCCCACTGATCTCACTGATACTACCAATCCTTCAATATCAGTTTCATCAACTGGAGATTTAAATAATTCAAATAATACGTGGAATTGTAAACTTGAAGTACCGTTCCCGGAGACCATGGATGATGATTGTGATGTAACTGAGACCGTGCAAAATGGCCAATTGTCCGGCACACAACAGCAAGAGACACGCAATCCCAACGCGAGTCCGTCCACTGATGAGACGTCGGAAAATCGGCGGTCTGTTTTCATTCCATCCTCAGCAGTTCCTGGACCATCTACTAGTACACCTACCCAGACACCTCCTAATTCCGAAATTTCCAGCGACGATGAAGTATTGTCTAAAATGAGGAATATTGAACGACCAAAAATGCAAAATGCTCCCGTTTTCGAACCGACCGCAGAGGAATTTAAGGATCCTATGGTATACTTCGAGTCAATACTGCCAAAGGTGGCAGAGTTTGGGTTGTGCAAAGTGATTCCACCGAGAACGTTCGTCCCACCTTGTAACTTGGATAACGAAATTCGATTTGGGGTAACAAATCAGTATATAGGGCGTATGTTCAAACGCTGGGGTTCGGCCTCTAAAGAACTTTCCAATATTCGGGCCAATTTGCTTGCGCACAAAATCTACCCCAGACCACCATTGCTTGATGGCCTTGAGGTAAACTTACCAAAACTATTTCGAGTTGTGCAAGGCTTGGGTGGATTGAAGAACGTATTCACTAAGAAGAAATGGAATAAGGTTGCTGAGGAGATGAGATACAAAAATCTGATAAATCCGAAAAAGCGTCTTGACCAAATATATGTAAAATTCCTGTTGCCATACGACACGTTGACCAATCAGGAGCGTAATAAGCTGACTAATCACGTTAATCGTTTATGGAAAAAGCGTTCCGATAATATGTTAGACCGAGCTACGAACCCATTGCATAGACAGAAACGCATGTTGGCGGAGTCTGATTCGTCCTCCGACGAAGAGTATGGGCCAGATGATGTGAAAATATTGGAGTCATTGAGTGAAACCGAAGACTGTATTATCGCGGGAAAGAAAATGAATTTGAAGTTTTTTAAAAAGATCGCCAATAGCGCTGTGGACATAAACGTGCCCTCGGGCGTTTGCAACGAGGAGAATGTCGAGAAGATATATTGGAAGCATGTCGAGACTGGCGAGGACCATGTGTGCGTGTACGCCGCCTCCATAGACACGGACGAGGCTGACTTGGGTTTCCCGAACGATTGTGAACAACCGTACTCGCAACACCCGTGGAATCTGAAGGTTCATACCTATCCGGAGAGGAGGATCGGTCGCGGTGGCACCGGGCCAGCCCGTTCACCCGACTTGAACCCCGTTGATTTTGACATTAAGGATATTGTGTACGCACGGGAGAGCACATCGGAGCAAGAATTGGAGGAAAATTCAAGTGGCTATAACAGCCATTAA
Protein Sequence
MEKVQAQRKFAAGIHVPVTRQTQQAAVDRRTATPPESRVFQIHTTPSSMLDVVAFQGIHTHKQPVVLLKRLEDTMQPSCSKSSENGESEPPNRYPIRSKSRKSVRRDRSSDTGCSKKRKISKKKSSNSNAFMEIEQSVPITPVSGASADHMIDEEVENVNGYGSMTPLPNTTGCRADKEDSGIVNQVPFGALTDLQFENSDEAIANLNVKTKNERTEDELTSQQHNLCKGSRRNTGSWQVTNYETVNRVYVFKHCNVTNEDDGVSMNEYEEFSDNSVIIDDSDGQDAVTSSSITYTPAPNNNCAQNIDDATPSIQNQASTRSNTKKTRNESCPSRHITSLKEIVCCSNTVLNKKCNACKFCSKIKLVSTLVKSLESSSFNLLLSDHINVENLPTDLTDTTNPSISVSSTGDLNNSNNTWNCKLEVPFPETMDDDCDVTETVQNGQLSGTQQQETRNPNASPSTDETSENRRSVFIPSSAVPGPSTSTPTQTPPNSEISSDDEVLSKMRNIERPKMQNAPVFEPTAEEFKDPMVYFESILPKVAEFGLCKVIPPRTFVPPCNLDNEIRFGVTNQYIGRMFKRWGSASKELSNIRANLLAHKIYPRPPLLDGLEVNLPKLFRVVQGLGGLKNVFTKKKWNKVAEEMRYKNLINPKKRLDQIYVKFLLPYDTLTNQERNKLTNHVNRLWKKRSDNMLDRATNPLHRQKRMLAESDSSSDEEYGPDDVKILESLSETEDCIIAGKKMNLKFFKKIANSAVDINVPSGVCNEENVEKIYWKHVETGEDHVCVYAASIDTDEADLGFPNDCEQPYSQHPWNLKVHTYPERRIGRGGTGPARSPDLNPVDFDIKDIVYARESTSEQELEENSSGYNSH

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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