Cmes055267.1


Basic Information
Transcription Factor Domain
Sequence Information
Similer Transcription Factors

Basic Information

Insect
Cybosia mesomella
Gene Symbol
PGBD3
Assembly
GCA_946251875.1
Location
CAMIUH010002262.1:81448-94835[+]

Transcription Factor Domain

TF Family
PAX
Domain
PAX domain
PFAM
PF00292
TF Group
Helix-turn-helix
Description
The paired domain, a ~126 amino acid DNA-binding domain, is found in eukaryotic transcription regulatory proteins involved in embryogenesis. Initially identified in Drosophila’s paired (prd) protein, it typically resides in the N-terminal region and may be followed by an octapeptide, a homeodomain, or a Pro-Ser-Thr-rich C terminus. Paired domain proteins act as transcription repressors or activators, with DNA-binding specificity mediated by three subdomains. Crystal structures reveal a bipartite DNA-binding paired domain: an N-terminal subdomain (PAI) and a C-terminal subdomain (RED), linked by a flexible linker. Both subdomains contain a helix-turn-helix motif that binds DNA's major groove, while the linker may bind the minor groove. Variations in domain usage across Pax proteins and isoforms determine sequence specificity.
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 6.7e-08 0.00023 23.0 0.1 24 72 214 262 205 285 0.89

Sequence Information

Coding Sequence
ATGTATGTGCGCAATCGCATCAGTGTGATCAGTCGTGGCGGCGCGTCCGCAACTGTCACCGTCAGCAGAGCGCCAGTAGCCATGGGTTCCTGGATGAAAATAGTCGTGCTCTTATACGTTACATCACCAGTTTTCTGTACACCGTTCATCAATCAATTGCAGCAAGGACAAGAATGGCCTCCACGTAGTTCTGTTAAACAACCAAAACCTGAGGAATCCCTGAATgaagttacaaaaaaaacagaagAATCCATCGAGGTTGACAAAGCTGCTCCAGAAGACGTACCTGAATTCAAAGAAAGTACTCCAGAAGATTCGGAGAAGGTAGATTATACTGGGTGTCAAGTATGGAAAGTATCCACGGCAAAAACTAATGCCAAGCGAGTCATTAACAAGCTAGCATCTGAAAAGCTTATTGCATCATGGGGAGGAAACATATCGTCGATCGACGTACTGATCAAGCCAAAAGTAATTGACAACGTAACAAGTgtcttaaaaagtaaaaagattCCATATTCCATTATGATTGAAGATCTTCAACAAAGAATCAACGAAGAGAACCCACCTTTGGACGAAAACGAAATCGATTTACAAGACAGACGAGCAATCTGGAAAATGGTAGATAAAGTGATAAAAGCGAGCAAAATTATTGCGCTGCTTGAAGAAGGTTGCAGTCAATGCTTCGTGGCTCAGAGGCTAAATGTGAGTCGGTCGACAGTTCAAAGGACCTGGCAGCGCTATCAAGAGACCGGTTCCGTCAAGAGAAGGCCTGATTCTGGCAGAAAGACATGTACCGAACCACGGGATGACCGTTTTCTAGTTAGTCAAGCATTGAGAAATCGCAAATCTTCTAATGTGGACCTCAAGAACAGCCTCGAAGAAGTAAGAAATGTGCAAATTAGTCTATGGACGGTCAGGAGGTGGCTTCTCGCTGCTAATATACACAGTCATCGCCCGGCACGCGGCCCTAAATTACTTCGTGGATATCGAGTTGCCAGGCTTAGCTTCGCTCGAAATTGTGTGTCATGGACTCATGAAGACTGGGATAGGGTAAAGTTCTCCGATAAAGCCAGGATATCTCTGCATGGTGAAGACCGACGTCGGCGAGTGCTACGTAGACGAGGAGAACGCTTTGCAGAGGCATGTTTTGAAGAAATCACACCTTATGGAGGGGGCTCTGTTATGTTTTGGGAAGGAATAAATTCTATGGATCGTACGGAGTTAGTCTTCATCGAAAACGGTACACTGACTGGACACCGATACATAACGGAAGTTCTAATTCCTTATGCACAACCCGCTTTAACCCCTCTTGGCGAAAACTCAATTTTTATGGACGACAACGCTCGCGCCCACCGATCTGGCGATGTGGAAGCGTATATGCTAGAAGTCGGAATTCGTCGTTTGGACTGGCCAGCTAGAAGTCCAGACCTCAATCCCATAGAGCATGTGTTGCGCATTTCCGATGCGAAGCCGACGAACAAAGCAGTATTCGTAGACGGCGGTATACACGCACGCGAGTGGATTAGTCCTGCAGTCGTCACTTACTTCATCAACCAATTTGCCGAAAACTTTGACATTGAGTCAGATGACATCAAAAATATTGACTGGGCAGCTCGTAAGCGTCCTCATCGAGTCCTTTTAGAAGAGGATATTACCTCGATGCTgcaggatgatgatgacagtgAGGACGGTTTGGATTTCGACGATGACAGCCTCGCCGACCCAGATTTTTCCCCCGAATTAGAAACTTTTGAAGACAATACTTCCACCTTAGATATCGACGTTGATTCTATAATAGAAACCTTAGAAAGTAACCACGAAAGCTCAGTTCCATCACCTCCAAGCGCTGAAACTGCATCACACGGTCCTCTTCCTTCATCAGCTCAAAGCAatcaatcaaataaaactgCAACGAAACCTACTAAATTGAATTTACGCTGGAAGAAGAAGAGCCTACAGGTAAATTCTGAGCAGCTTAGATTCAAGGGTAACATGAACTTAGGCACTGAACTTTTAGAACTAGAAACCCCTATCCAGTTTTTCTTTTACCTCTTTCCACAAGAGCTTATCAAGATGATATCAGAAGAGACCAATCTTTACCAAGTTCAGAATGATCCTAATAGCACTTTTCGTGTGACAGAAATGGATATCAGGCAATTTATGGGCGTGGTTTATCTAATGTCTCTTATCCGATTACCCAGAGTTACGAACCACTGGAACCCAATACTTGGTACCCCAATAATACAGGATACTATGCCATTGAATAAATTTGAGAAAGTGCGCCAAACTTTACACTTCAATGACAATAGTAAAAATCTACCTAGAAACGATCCTGGTTATgatagaattttcaaaataagacCAGTGGTTGAATCTCTAAATGCAGCTTACAAAAAGGTTCCTTTGGAAGAACACCTCTGTGTTGACGAGCAAATGTGTTCCACTAAGGCACGGAATGTGTTGAAGCGATACAACCCTCAAAAGCCACATAAATGGGGTTATAAAATTTATGTGTTGAGTGGCGTTTCTGGTTATGCCTATAAAACAGAAATTGAAACTGGTAAGGAAAACATTACTCTTCCAGAAGAGCCAGATTTGGGCGCAGCATCCAACGTCGTCATGAGGTTAGCGCGTTTAATTCCAAGGCATCAAAATTACCAATTGTATTTTGACAATTACTTTACCTCTCTTCGTCTGTTGGAATATTTGGCCAAAGAAGGCATTCACAGTCTTGGTACGATTAGAAGAAATAGAATCCCAGACTGTAAGTTGCAACCAGAAAAGATACTATTGAAAAAACCCAGAGGACATTCAGAAGAATATGTAGCTGACGTCAATGGCACCGACATTTCTAATGTGGCATGGAAAGATAACAAAATTGTCACTCTGGTTTCTACTTTTGCTGGAATACAGCCTGAAACTGATGTTCGCAGATGGGACAAACAGAACTCTAGGTACGTGAGCATAAAACGTCCGAACGTTGTAGGAGAGTACAATCGCCACATGGGTGGTGTTGACCTCATTGACAGCATCATGGCGATATACAAGATACAGTTGCGTAGCAAACGATGGCAAATTCGTCTATTTTATCATTACTTGGATCTCACAATGGCAAACGCATGGTTGCTTTATAAAAGAGTCTGTAAAGACAACGGCCTTTCGTGTCGTTTATCATCAGCAGATTTTCGTCTAGATGTTGCAGTTACTCTTTGTAAATTGGGTACAAAGCCTAGTATGTCTAGTCGCCGTTCGCTGGAAAACGAGATACAAGCCAAAAAACATAAAGGACCTGCACAGCATGCACCTCCTATGGCAGTACGGCAAGACCAGATTGGGCACTGGCCCCAATGGTCTGACAAAAAAATTAGGTGCAAGTTTCCAAAGTGTACTGGATTTACTCACAATACATGCGAAAAATGCGGGGTTGCTCTATGCTATACCAAAACCAAGAACTGCTTCAGGAACTTCCATCTCTCATAA
Protein Sequence
MYVRNRISVISRGGASATVTVSRAPVAMGSWMKIVVLLYVTSPVFCTPFINQLQQGQEWPPRSSVKQPKPEESLNEVTKKTEESIEVDKAAPEDVPEFKESTPEDSEKVDYTGCQVWKVSTAKTNAKRVINKLASEKLIASWGGNISSIDVLIKPKVIDNVTSVLKSKKIPYSIMIEDLQQRINEENPPLDENEIDLQDRRAIWKMVDKVIKASKIIALLEEGCSQCFVAQRLNVSRSTVQRTWQRYQETGSVKRRPDSGRKTCTEPRDDRFLVSQALRNRKSSNVDLKNSLEEVRNVQISLWTVRRWLLAANIHSHRPARGPKLLRGYRVARLSFARNCVSWTHEDWDRVKFSDKARISLHGEDRRRRVLRRRGERFAEACFEEITPYGGGSVMFWEGINSMDRTELVFIENGTLTGHRYITEVLIPYAQPALTPLGENSIFMDDNARAHRSGDVEAYMLEVGIRRLDWPARSPDLNPIEHVLRISDAKPTNKAVFVDGGIHAREWISPAVVTYFINQFAENFDIESDDIKNIDWAARKRPHRVLLEEDITSMLQDDDDSEDGLDFDDDSLADPDFSPELETFEDNTSTLDIDVDSIIETLESNHESSVPSPPSAETASHGPLPSSAQSNQSNKTATKPTKLNLRWKKKSLQVNSEQLRFKGNMNLGTELLELETPIQFFFYLFPQELIKMISEETNLYQVQNDPNSTFRVTEMDIRQFMGVVYLMSLIRLPRVTNHWNPILGTPIIQDTMPLNKFEKVRQTLHFNDNSKNLPRNDPGYDRIFKIRPVVESLNAAYKKVPLEEHLCVDEQMCSTKARNVLKRYNPQKPHKWGYKIYVLSGVSGYAYKTEIETGKENITLPEEPDLGAASNVVMRLARLIPRHQNYQLYFDNYFTSLRLLEYLAKEGIHSLGTIRRNRIPDCKLQPEKILLKKPRGHSEEYVADVNGTDISNVAWKDNKIVTLVSTFAGIQPETDVRRWDKQNSRYVSIKRPNVVGEYNRHMGGVDLIDSIMAIYKIQLRSKRWQIRLFYHYLDLTMANAWLLYKRVCKDNGLSCRLSSADFRLDVAVTLCKLGTKPSMSSRRSLENEIQAKKHKGPAQHAPPMAVRQDQIGHWPQWSDKKIRCKFPKCTGFTHNTCEKCGVALCYTKTKNCFRNFHLS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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