Basic Information

Gene Symbol
lrrfip2
Assembly
GCA_932273785.1
Location
CAKNZW010000138.1:2206086-2222431[+]

Transcription Factor Domain

TF Family
LRRFIP
Domain
LRRFIP domain
PFAM
PF09738
TF Group
Unclassified Structure
Description
LRRFIP1 is a transcriptional repressor which preferentially binds to the GC-rich consensus sequence (5'- AGCCCCCGGCG-3') and may regulate expression of TNF, EGFR and PDGFA [1]. LRRFIP2 may function as activator of the canonical Wnt signalling pathway, in association with DVL3, upstream of CTNNB1/beta-catenin [2].
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 4 1 2.1e+04 -17.9 23.7 41 169 65 194 20 236 0.50
2 4 0.7 1.5e+04 -4.8 4.6 39 75 320 356 265 381 0.48
3 4 7.6e-116 1.6e-111 372.6 26.2 1 299 399 695 399 696 0.93
4 4 0.076 1.6e+03 -1.7 3.7 220 245 724 749 699 770 0.47

Sequence Information

Coding Sequence
ATGTCAGTGGAACAAAAATTAACTGATAAAAATGTTGTGACTGCAGCAACAGCAAATACAAGTTTAACAAAAAATAATAAAAAGAACAACAATAACAACAAAAGCAATAATAACAATAATAAAAGTAGTAGTAGTAAAAAATTCATTAAAAAAGCATTGAAAAGCTCAAAAATTAAAAAGAATATTACAAACACTTCAAATGTCAACAACAATAACAACAGCAACAACAAAAATACAAGTCGTAATAATAAAAACAACAACAGCACTCCAAGTAATAGTTGTAGCAGCAGCGGCAACGACAATATTGAAGTGGCAAACGATGAAATCATCGAGGAGTTGTTTGATTTTAGCGATTCTGATTTAAAAGAACTCGACGATTCAACCAAAAACGAAGAAATTAGCAACAACATCAACTCCACTGCCAATAATGACGAATTTTTAAATGACAAAGTTAACGATAATTTAAATGAAATGAAGGATGAAGTTCCAAAAGAGTTAGAGGTGCAATTACCAGATATTTTAAATGATAATAACAATAACAATAGTCATAATAAGAACGAAGAAAAATACGAAGAACAGCAAAAACAACAGGTGGAAGAATTTTTGCCAATTGATAATATTGATAAACAAAACGAAAACAAAGCAGCGGGAGAAAGAGAAGAAAAACACAGTGAATTAGCCACGACAATGGTACTAAAAGCAGATCCAACGCCAGTCGCTACTGCGACGTCCGCTAAAACTATTACCGAAGGAAATAAAGATAATAATGAATATCATAAAAACCTACAACTGCAAGTATCAGCTAAAGAAGAACATGAAGAACAAGATACTAATAAAAATTTATTACTAAATAAAGAATTTGCTGCTAGTACTACTACTCCCGTACAAATCTCCTATAGTTCTATTGTTCAAGAAGAACAAACACCGACAACACTGATTGACAATGAAGACAACAACACAATGTCAACATCTTCAGACATAAAGTCTAAGCAAACAAATAATGATGATAGTACTCCAGTGGCAACATTTGTAAAAAATAAAGAAAGTAATCAACACGATAATGACAAAAAAAATAATGATTTAAATGATAAATCTAACGACGTTGATGATGATTATGATGATGATGAGGAGGATGAATATGCCGAACCATATAATGAACTATTAGTTCAATTCCTTGATGAATCCAATCAAATTGCTGAGGCAAGGTTAGCTGCCAGAAGGCATGCCAGAGCGGAAGCTCGTGAAATACGAATGCGAGAATTAGAACGCCAGCAAAAAGAACAAGAATCTAATGCAGATCGTGTCTTCGATATGCACTCTAACGTTACAGGCATAACACCACTGTCACATATGCGTCTGGGCTTGGGAAGTTCACCAGTTACGGGCTTACTAAATTCCACAAGAGGGAATTCTATGTCATCGAGACGTAGCAGTGAAGATTCACTAGAAGAGGAAGGCCGCAGTTTAAGGGATATACGTCATGAGTTGAAGGACGTAGAAGAACGGTTTCGCAAAGCTATGATAGCGAATGCTCAGTTAGATAATGACCGTGCCTCACAGACCTATCAAATTCAGTTGCTTAAAGATAAACTGGAAGATATGGAAGAATCATATTCACAATTACAACGTGAGTGTAAGGAAAAGTCACGCGATTGTAATGCCTTGAAACGATCATTGGATAAACTAAGCGAAGAGCTAAAACTGGTACAGGGTCAGCTAAATGAGCGTGACACACTGCTAGCAGAACAGGGTTTAGTTATTGTGGCAATTGAAAATGAGGATGGCACTGATGCCAAACGTGCTCTAGTCAGTGTTGAAAATGCACAATTATTGGGTTCGGTACAAGGATCATTAGATGTTCGACTTAAGAAATTTACCGAAGAGAAACAACAACTGCAACATGAAGTCCAACTGTTGCAGGAACAATTAGAAACGTATAAAAGTCAGGGCAAGGGACGAGGTAAAGGCAATTCTTCAAATGGTCCTTTAGGTTCAGACGATGATGATTATGAAGCTCAAAGAGAAGCTAATAAAATCATCTCGGATTACAAATATAAATTACAAAAAGCTGAACAGGAAATTGCTAGTCTACAATCCAGTTTAGCCCGTTCGGAGACACAAGTTATACGCTATAAAAGTACCGCAGAGGCGGCCGAAAAAGCTGAGGCCGAATTGAAAATCGAAAGAAGGAAACTGCAAAGAGAGAATCGCGAGGCCATGGAAAAACTCGAAGAGTTAGAAACCTCAAATAATCATTTGCTTAAACGTTTGGATAAATTAAAGAATGCTAAAAGTGCTTTGCTCAAAGATCTCTGA
Protein Sequence
MSVEQKLTDKNVVTAATANTSLTKNNKKNNNNNKSNNNNNKSSSSKKFIKKALKSSKIKKNITNTSNVNNNNNSNNKNTSRNNKNNNSTPSNSCSSSGNDNIEVANDEIIEELFDFSDSDLKELDDSTKNEEISNNINSTANNDEFLNDKVNDNLNEMKDEVPKELEVQLPDILNDNNNNNSHNKNEEKYEEQQKQQVEEFLPIDNIDKQNENKAAGEREEKHSELATTMVLKADPTPVATATSAKTITEGNKDNNEYHKNLQLQVSAKEEHEEQDTNKNLLLNKEFAASTTTPVQISYSSIVQEEQTPTTLIDNEDNNTMSTSSDIKSKQTNNDDSTPVATFVKNKESNQHDNDKKNNDLNDKSNDVDDDYDDDEEDEYAEPYNELLVQFLDESNQIAEARLAARRHARAEAREIRMRELERQQKEQESNADRVFDMHSNVTGITPLSHMRLGLGSSPVTGLLNSTRGNSMSSRRSSEDSLEEEGRSLRDIRHELKDVEERFRKAMIANAQLDNDRASQTYQIQLLKDKLEDMEESYSQLQRECKEKSRDCNALKRSLDKLSEELKLVQGQLNERDTLLAEQGLVIVAIENEDGTDAKRALVSVENAQLLGSVQGSLDVRLKKFTEEKQQLQHEVQLLQEQLETYKSQGKGRGKGNSSNGPLGSDDDDYEAQREANKIISDYKYKLQKAEQEIASLQSSLARSETQVIRYKSTAEAAEKAEAELKIERRKLQRENREAMEKLEELETSNNHLLKRLDKLKNAKSALLKDL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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