Basic Information

Insect
Agrotis puta
Gene Symbol
-
Assembly
GCA_943137145.2
Location
CALPBO020001181.1:123503-126238[+]

Transcription Factor Domain

TF Family
HTH
Domain
HTH_psq domain
PFAM
PF05225
TF Group
Helix-turn-helix
Description
This DNA-binding motif is found in four copies in the pipsqueak protein of Drosophila melanogaster [1]. In pipsqueak this domain binds to GAGA sequence [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 2.2e-08 1.4e-05 24.9 0.0 2 41 64 104 63 106 0.94

Sequence Information

Coding Sequence
ATGGGGAATGAGATAGGGGGAGAGAGAGAGAGGAGAATAAAGAGAGAGAGAGAGAGAGAGAGAAAGAAGAGCGAGATAGAGAGAGAAAGGAGAGAGAGAGAGAGTTTAGTAAAAAAAACACTCAAATCTCGCATTAAGCCAAGGAAGTCAAGACGTGAACTGGGATCGCGTATGTATAAAAATTATTCCGAAGAAATGCTCATGCTTGCGTGTGAAGCTGTCCAATCAGGTACAATTTCATCAAGAGATGCTGAAAAACAGTTCGGAATCCCAAGGCGGACCATAGTAAATAAAACAAAACGAGTACATATGAACCGCGTTGGTCGTCCTACTGCTTTAACAACCAAAGAAGAAGATCAAGTTGTTAAGGTCTTACAAGCATCAAGCAGTTTTGGCTCACCGCTTACAAAATTAGATCTTAAGCTATTGGTTTACGAATATTTAAAAAAGAACTCACGGAGTAATGCTTTTAACAATAAAATTCCTGGTGATGCATGGGTACATGGCTTTTTAGCAAGGCATGCCGATGCTTTGACATTAAGAACAACTCAAAATATTTGCAAGGCGAGGGCGGAAAAGGGAGCGCAAGAAATAATAGATTATTTTAGTAATTTAAGTACAACATTGAAAGACATACCACCTGAAAACATTGTCAATTTCGACGAAACTAACCTCTCCGATGACCCGGGATCTTCTAAGTGTATTTTTAGAAGAGGAGTAAAATATCCCGAGAGGGTAGTGAATTCTACCAAAGGGAACATATCTCTCATGTTTACTGCCACCGCAGCTGGTAAATGCCTCCCTTTATATGTAGTTTACAAAGCCACAAATTTATACACAGAATGGATTAATGGAGGACCACCAGAAACCAGGTACAATTGTACTAAGTCAGGCTGGTTTGACAGCTCCATGTTTGAAAATTATTTTGAAACAATAATACTTTCGTGGGCAAAAGAAACTGTGGGGACAAAAGTTGTCATTTGCGATAATCTATCTAGCCACATGAGTATCACAGTAGTAGAATTATGCGCTCAACACGATATCAAGTTAGTATTTATTCCTCCCCGATCAACACATTTGACGCAACCACTAGATGTGGCATTTTTTGCGCCCTTGAAAAGATGCTGGCGTAAAATTTTGTATCAGTATAAGCTCAAAAATCCGACACAAACTACATTAAATAAAAAACATTTTCCGAAGTTACTTTGCGAATTAACCGAAGCTATTAGGATGAATGAAAAAAGAAACATCATAAGTGGCTTTAAGGCAACAGGAATATTTCCATTGAATCCACAAGAAGTTCTTAAAAAAATACCGGAAACGCAAGAGGAAATAATATCATGTGGAATCGATCAAGTACTAGTGGATTATTTAACAGAGACCAGAATGCCAAAGCCTATGCAAGTATGGAGGAGTAAAAAAATCAATTGCGAGCCAGGAAAATCTGTGAGCATTTCTGATTTCAACGTTGACAATAAAAAAATTAAATCCATTAAAGCGTCTTATGTTGAAGAAGAAACAAACCACGGATCAGTCTATTTAGACGAAAAAACTGGTCTTTGTATACCAGAAATTGCTGATCTCTGTTCAGACATTGATGAAAATTATGCTCAAGACTTGGACCCTTGTAGTAGCCTACAGTGGCAAGATAGTATTCCTGAAAGTCTCAGCCAACAATGTATAAATGTAATGAATACCAATTTAAGTGTACCATTGTCAACATCATCCACTGATTTGAAAGCTTCCATAAATAATACCACAAACACATTAATGGCAAGAAATGATTCAGTTAAAAATAAGATTATTATACATTCTAATGTACTTATAAAAGCTGGAACACCAGCGACTGATGTTTGTTTTTTAAAAGATGCTTCCAGTAAGACTGAAAATATGCCGTTTATCTCTACACATAAAACTAATTTACCAGAATGCCTACAAGGGAAGAAAAATATATTAAAGAAGAAAATAGAACAGAAACATCCTAGAAAAGATAAGAAAAGTAATAAAGTCGAAAAAGTTAAAAATAATTCAAAAGGGAAAAAGTCAGCCCGAAGGCGTACTTCAATCAGAAGAAGACCACTATACGATAGTGAGTCGAGTGCGATATCAGTGGATAGTGAGTTTAAAACAGCTGACACAGATGATGAATACGAAACAATAAATGATTTTTACATTGCTGAATCCCTACAAGAACAAGAAGAGAAAGAAAACTTGGAGCTGCCAAATGTAATTTCCTTTGGACTACATGACATTGAATATTTTTCAGAAAATCGAGAAAAAATTAAAGAAAATGATTGGATTATTGTTCAGTTCGCTACAAAAAAGAGTTTAAAACATTTTGTAGGTAAGGTTTTGTCGATGAATGGTGTAAATCCTAAGGTAAAATTTTTACGGAAAGTTAAAGAATCCAAATTTGATACCGGAACTACTTTTTCATATCCAACGGTTGACGACATTTGCATCATACAACATTTAGAAGACGTTATAACCATTTTACCTTACCCAACGATTACTCGACGCGGACAGATTGTATTTCATGTAGATCTCAGTAATTTCAACATTCAATAA
Protein Sequence
MGNEIGGERERRIKRERERERKKSEIERERRERESLVKKTLKSRIKPRKSRRELGSRMYKNYSEEMLMLACEAVQSGTISSRDAEKQFGIPRRTIVNKTKRVHMNRVGRPTALTTKEEDQVVKVLQASSSFGSPLTKLDLKLLVYEYLKKNSRSNAFNNKIPGDAWVHGFLARHADALTLRTTQNICKARAEKGAQEIIDYFSNLSTTLKDIPPENIVNFDETNLSDDPGSSKCIFRRGVKYPERVVNSTKGNISLMFTATAAGKCLPLYVVYKATNLYTEWINGGPPETRYNCTKSGWFDSSMFENYFETIILSWAKETVGTKVVICDNLSSHMSITVVELCAQHDIKLVFIPPRSTHLTQPLDVAFFAPLKRCWRKILYQYKLKNPTQTTLNKKHFPKLLCELTEAIRMNEKRNIISGFKATGIFPLNPQEVLKKIPETQEEIISCGIDQVLVDYLTETRMPKPMQVWRSKKINCEPGKSVSISDFNVDNKKIKSIKASYVEEETNHGSVYLDEKTGLCIPEIADLCSDIDENYAQDLDPCSSLQWQDSIPESLSQQCINVMNTNLSVPLSTSSTDLKASINNTTNTLMARNDSVKNKIIIHSNVLIKAGTPATDVCFLKDASSKTENMPFISTHKTNLPECLQGKKNILKKKIEQKHPRKDKKSNKVEKVKNNSKGKKSARRRTSIRRRPLYDSESSAISVDSEFKTADTDDEYETINDFYIAESLQEQEEKENLELPNVISFGLHDIEYFSENREKIKENDWIIVQFATKKSLKHFVGKVLSMNGVNPKVKFLRKVKESKFDTGTTFSYPTVDDICIIQHLEDVITILPYPTITRRGQIVFHVDLSNFNIQ

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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