Basic Information

Gene Symbol
Stat5b
Assembly
GCA_963890685.1
Location
OY982979.1:3246010-3292399[+]

Transcription Factor Domain

TF Family
STAT
Domain
STAT_bind domain
PFAM
PF02864
TF Group
Beta-Scaffold Factors
Description
STAT proteins (Signal Transducers and Activators of Transcription) are a family of transcription factors that are specifically activated to regulate gene transcription when cells encounter cytokines and growth factors. This family represents the DNA binding domain of STAT, which has an ig-like fold. STAT proteins also include an SH2 domain Pfam:PF00017.
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 8 0.13 7.6e+03 -1.0 0.4 57 124 137 207 123 236 0.77
2 8 2.4e-39 1.4e-34 121.1 0.6 1 121 330 456 330 459 0.91
3 8 8e-10 4.7e-05 25.6 0.0 78 123 481 526 477 535 0.89
4 8 3e-10 1.7e-05 27.0 0.0 78 126 536 584 530 591 0.89
5 8 4.4e-10 2.5e-05 26.5 0.0 78 125 591 638 586 645 0.89
6 8 1.5e-09 8.7e-05 24.7 0.1 78 122 646 690 641 705 0.89
7 8 0.091 5.3e+03 -0.5 0.0 78 107 714 741 710 760 0.76
8 8 4.1e-05 2.4 10.4 0.0 106 133 858 887 846 887 0.84

Sequence Information

Coding Sequence
ATGTCGCTCTGGGCCAGAGCTCAGCAGCTGCCTCCCGAGAGCCTACAGAAGGTCCGGACGATATACGTGGATATGTTCCCCATAGAGGTCCGCCATTGCCTCGCCCCATGGATAGAGAGCAGGATCTGGACTCCAGAGCCCGAGGAGCAGCAACGGTTCTTCGTAGACGAGCTGGTGCAAGAGATCCAGACTCACGCTGACCTGATGCTGTCGCCGGAGATGTTCGTCACCAAGATGAAGCTGCTCGAAGCTGCGAAGACCTTCCATATGCAGTACAGCCACGCCCCCCACGAGCTATACCAGTACATGCGTCGCTGCTTGGCGCTAGAGATGGAAGTGATACAGAACGCGGTCGGAGCTGTCTACGGGCCGCAGCCGCACACCGAACGGAAATACAGCGAGTTGATCACCGGACTGCAGACGGTTCGTCAGAAGGTGAACGTGGCCGGAGAAGAGATCCGCACCCTCCAAGCGAACATCGAAGCATTCTCGCTTCAGTACCACGAGTGTATGAAGAACAAAGGGCATCTGAGTTTTCTGCAACAGTCGATGACCAACGAGAGACGAGACCTCGTCGCCTGCCTCCGCGTGCAGATCGAGGAAACCGAGAGGAAACTGAACGCGCTGGTGGCACAAATAAACCAATCCCAGATGGAGCTGGTGGACCACATGAAGGAGAACATCGCCAACCTCCGCCAGCTGCAGAGCCAAGTGTTGGACGAGGAACTCATCAAATGGAAACGCGAGCAGCAGCTGAGCGGCAATGGCGTGCCGATGCAGTCCAACCTGAACCAGATACAAGAGTGGTGTGAACTGCTAGCTGACCTCATCTGGAGCACTCGCCAACAGGTGAACAACGTGGGCCGCATCAACACCAAGACAGTGGTGGAGCTGAGGCAACCACATCTGGCCGAGATGCTGGACGAGATGAGCAAACAGGTGACTGGTCTGCTGTCAACCTTGGTGACGTCAACATTCGTGATCGAGAAGCAGCCTCCTCAGGTCATGAAAACGAACACACGtttCACGGCTACAGTTCGTTTGCTGGTCGGCGGCCAGCTGAATGTGTACATGACGCCGCCGAGAGTCAGTgTGGTGATAATTTCCGAGCAACAGGCACAGTTGCTCCTAAAGAGTGAGACGCAAGCCGGAAAGGGGAAGCAGCCCGTCGAGTGTGGAGATATCCTGAACAACACCGGATCTATGGAGTACCAACCTACATCTAGACAACTTAGCGTTAGCTTCCGTAACATGCAACTCCGTAAGATCAAACGCGCTGAGAAGAAAGGCACTGAGAGCGTGATGGACGAGAAACTGACTCTACTGTTTCAGTCTCAGTTCAACGTTGGAGGGGGAGAGCTTGTCTTTCAGTCTCTGTTCAACGCTGGCGGGGGAGAGCTTGTCTTTAAGGTAATATATCTCTTTCTTACATGTACTGTATCTATTTTCTGTCGCATATTACTCTGTAAGATCAAATGCGGAGAGAAAAAAGGCACTGAGAGCGTAATGGACGAGAAACTGACTCTACTGTTTCAGTCTCAGTTCAACGTTGGAGGGGGAGAGCTTGTCTTTAAGGTAATATATCTCTTTCTTACATGTACTGTATCTATTTTCTGTCGCATATTACTCTGTAAGATCAAATGCGGAGAGAAAAAAGGCACTGAGAGCGTAATGGACGAGAAACTGACTCTACTGTTTCAGTCTCAGTTCAACGTTGGAGGGGGAGAGCTTGTCTTTCAGGTAAACTATCTCTTTCTTACATGTACTGTATCTATCTTCTGTCGCATATTACTCTGTAAGATCAAATGCGGAGAGAAAAAAGGCACTGAGACCGTAATGGACGAGAAACTGACTCTACTGTTTCAGTCTCAGTTCAACGTTGGAGGGGGAGAGCTTGTCTTTCAGGTAAACTATCTCTTTCTTACATGTACTGTATCTATCTTCTGTCGCATATTACTCTGTAAGATCAAATGCGGAGAGAAAAAAGGCACTGAGAGCGTAATGGACGAGAAACTGACTCTACTGTTTCAGTCTCAGTTCAACGTTGGAGGGGGAGAGCTTGTCTTTCAGTCTCAGTTCAACGTTGGAGGGGGAGAGCTTGTCTTTCAGGTAAACTATCTCTTTCTTACATGTACTGTATCCATCTTCTGTCGCATATTACTCTGTAAGATCAAATGTGGAGAGAAAAAAGGCAACGGGAACGTGATGGATGTGAAACTGCTCTGTTCCAGTCTCAGTTCAACGTTGGAGGGGGAGAGCTTGTCTTTCAGTTTGTTTGCTGCAATGAAGTGCAGCAATTCTTCAACCGCTGGAGGTGGTGCTTCTGCCTCGATATCCATGTACACCGAGGCCACTACGATAGTGCTTTGTGGCCCTTGCAGTCCCGTCTCCAGCTTTACTACAGTAAGGTCATCGTCGTTCGACTATCTGCCGTTAGTCCAGCCATCCAATACCGGCCAGGAATGCAAGCATCTCGCTGACGCTGGTGCAGGCTTCCCGGACAGTCCCTGGAGCTCCAAGGTGTTCTGCTCTATGGGACGCCACACTGCTCTCAAGGAGCGCAAGAGCTGCTGTCTCCTCTGCTTCCATACAGCCTCTGCACAGGGGGCTGACACCTATAGCAAACAGGTGTGGACGCTGTCGCTGCCGGTGGTAGTGATAGTGCACGGCAACCAGGAGCCGCACGGCTGGGCCACCGTCACCTGGGACAACGCCTTCTCGGCGCCGGGCCGCGTGCCCTTCCATGTGCCCGATAAGGTGACGTGGGGCCAGCTGGCGGAGACGCTGCGCATTAAGTTCTGTTCGGCGACTGGAGGGGACCTCGCTGAAGATAACTTACGCTTCTTGGCCGAAAAGATATTCAGGACAAACCTACCTCTGAACAACATGGAGCTGAACGCGATGCCAGTATCCTGGACACAGTTCTGCAAGGACGCCCTGCCCGACAGGAACTTCACCTTCTGGGAGTGGTTCTACATGGTTGTCAAGGTCACCAGGGACTATCTGAGGACTTTGTGGTGCGATCGCTTGATCCGCGGCTTCATCCAGAAGAAAGGTGCCGAGGACATGCTGTCCAAGTGTCCGCCCGGCACTTTCCTACTTCGCTTCTCCGACTCAGAACTGGGCGGTATCACCATCGCATGGGTGGGCGAGGGCAATGAAGTATTCAGCCTGCAGCCGTTCACCTCCAGAGACCTGGTGCTACGTTCCCTCGCAGACAGGGTCCTCGACTTGCCTCAGCTGCAGTTCCTATACCCGAACATCGCTAAAGACGACGTGTTCTCCAAATACTACACTAAACATGAGATCGATTCGAAGAATGGCTACGTAAAGCCAGTCCTAGTGACGACCTTGCCGCCCTACATGTCTCCCTCGCCTGCATACGCTCACTCACCTGACTCGCACCGCAACACGCCCTCTGTACAGAGCAGATCCCTCACTTCATCTCCTTTCAAATCCCTCACTTACTCTCCATACAGATCCCTCACTTCCTCTCCTTACATATCCCTCACTTACTCTCCATACATATCCCTCACTTACTCTCCATACAGATCCCTCACTTACTCTCCATACAAATCCGTCACTTACTCTCCATACATATCCCTCACTTCCTCTCCATACATATTATCTGTCACTTACTAA
Protein Sequence
MSLWARAQQLPPESLQKVRTIYVDMFPIEVRHCLAPWIESRIWTPEPEEQQRFFVDELVQEIQTHADLMLSPEMFVTKMKLLEAAKTFHMQYSHAPHELYQYMRRCLALEMEVIQNAVGAVYGPQPHTERKYSELITGLQTVRQKVNVAGEEIRTLQANIEAFSLQYHECMKNKGHLSFLQQSMTNERRDLVACLRVQIEETERKLNALVAQINQSQMELVDHMKENIANLRQLQSQVLDEELIKWKREQQLSGNGVPMQSNLNQIQEWCELLADLIWSTRQQVNNVGRINTKTVVELRQPHLAEMLDEMSKQVTGLLSTLVTSTFVIEKQPPQVMKTNTRFTATVRLLVGGQLNVYMTPPRVSVVIISEQQAQLLLKSETQAGKGKQPVECGDILNNTGSMEYQPTSRQLSVSFRNMQLRKIKRAEKKGTESVMDEKLTLLFQSQFNVGGGELVFQSLFNAGGGELVFKVIYLFLTCTVSIFCRILLCKIKCGEKKGTESVMDEKLTLLFQSQFNVGGGELVFKVIYLFLTCTVSIFCRILLCKIKCGEKKGTESVMDEKLTLLFQSQFNVGGGELVFQVNYLFLTCTVSIFCRILLCKIKCGEKKGTETVMDEKLTLLFQSQFNVGGGELVFQVNYLFLTCTVSIFCRILLCKIKCGEKKGTESVMDEKLTLLFQSQFNVGGGELVFQSQFNVGGGELVFQVNYLFLTCTVSIFCRILLCKIKCGEKKGNGNVMDVKLLCSSLSSTLEGESLSFSLFAAMKCSNSSTAGGGASASISMYTEATTIVLCGPCSPVSSFTTVRSSSFDYLPLVQPSNTGQECKHLADAGAGFPDSPWSSKVFCSMGRHTALKERKSCCLLCFHTASAQGADTYSKQVWTLSLPVVVIVHGNQEPHGWATVTWDNAFSAPGRVPFHVPDKVTWGQLAETLRIKFCSATGGDLAEDNLRFLAEKIFRTNLPLNNMELNAMPVSWTQFCKDALPDRNFTFWEWFYMVVKVTRDYLRTLWCDRLIRGFIQKKGAEDMLSKCPPGTFLLRFSDSELGGITIAWVGEGNEVFSLQPFTSRDLVLRSLADRVLDLPQLQFLYPNIAKDDVFSKYYTKHEIDSKNGYVKPVLVTTLPPYMSPSPAYAHSPDSHRNTPSVQSRSLTSSPFKSLTYSPYRSLTSSPYISLTYSPYISLTYSPYRSLTYSPYKSVTYSPYISLTSSPYILSVTY

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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