Python bivittatus (Burmese python): 103052365
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Entry
103052365 CDS
T03091
Name
(RefSeq) LOW QUALITY PROTEIN: uncharacterized protein LOC103052365
KO
K01754
threonine dehydratase [EC:
4.3.1.19
]
Organism
pbi
Python bivittatus (Burmese python)
Pathway
pbi00260
Glycine, serine and threonine metabolism
pbi00290
Valine, leucine and isoleucine biosynthesis
pbi01100
Metabolic pathways
pbi01200
Carbon metabolism
pbi01230
Biosynthesis of amino acids
Brite
KEGG Orthology (KO) [BR:
pbi00001
]
09100 Metabolism
09105 Amino acid metabolism
00260 Glycine, serine and threonine metabolism
103052365
00290 Valine, leucine and isoleucine biosynthesis
103052365
Enzymes [BR:
pbi01000
]
4. Lyases
4.3 Carbon-nitrogen lyases
4.3.1 Ammonia-lyases
4.3.1.19 threonine ammonia-lyase
103052365
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Ortholog
Paralog
GFIT
Motif
Pfam:
PALP
RS_preATP-grasp-like
Motif
Other DBs
NCBI-GeneID:
103052365
NCBI-ProteinID:
XP_025023663
UniProt:
A0A9F5N0N5
LinkDB
All DBs
Position
Unknown
AA seq
514 aa
AA seq
DB search
MDSAKLVPRAKSLAVTSHGSYLPSYSAIVGILLRFFIYFIAILYSSGKMLFAKKDESNAK
DLEAPVRSAFHWYKDRKVRNGSAEQRRPSIHPERLKDFGEEEDLNGTVKTWDMKIISHDE
EQMNDSATCPDGISMPVYSNCKKIEDISAAAFKIQHGVLKTPCTHSRLSKQYGMDIYLKK
EILQYTGTVKERGVLYLLMSLKEDQQRNGVIVASDSNFSMAVAYHASELHIPVFVIMSTC
TLPTRVKMCREYGAMVISYGSTARDSQLHAKRLAQENNYLYLEEDNSAIYLSGLGTMGLE
IYEQVPKLDAVILPAGSPSGLLASNSAALKHLNQQVFVVGVELENVPVAQQSLKKGQPVK
DQAYTSCFQFYREMSGYSFGTNSLQPTGSGVDKVVTVREEDILISMLRLLEYERAVVDAE
GAIGLAALVSGQLPELKGKRVAVAVCSGNMELPLMRQCMDHALTLDNRVCKFTIMVSDCQ
EIFRSYWRLWLARKQEYWISDKNTHTXELICSPV
NT seq
1544 nt
NT seq
+upstream
nt +downstream
nt
atggacagtgccaagcttgtgcctagagccaaatcactggctgttacctcccatggatcc
tacctgccttcttacagtgcaatagtgggaatactacttcgcttctttatttatttcatt
gccatactttatagctctggaaagatgttatttgcaaaaaaggatgaaagtaatgcaaaa
gacctagaggcacctgtgcgttctgcatttcattggtataaggataggaaagtaagaaat
ggcagtgctgagcaaaggagaccgtccatccacccagagagactgaaagattttggcgag
gaagaggatttaaatgggacagtaaagacatgggacatgaagataattagccatgatgag
gaacagatgaatgattctgccacctgcccagatgggattagcatgccagtttacagtaac
tgcaaaaaaattgaagatatcagtgctgcagcgtttaaaatccagcatggagtcctgaaa
accccctgcacgcattctaggctttcaaagcaatatggaatggacatatatctaaagaaa
gagattcttcaatatacaggaactgtgaaggagcgaggcgtcctttaccttttgatgtca
ttaaaagaggaccagcaaagaaatggtgtgattgttgcctcagacagcaacttctccatg
gctgtagcgtatcatgcctctgagctccacattcctgtctttgtcatcatgtccacttgc
accctgccaacccgagtgaaaatgtgtcgcgagtatggtgctatggtcatttcctatggt
tctactgccagagattctcaactgcatgccaagaggctagcacaagaaaataactactta
taccttgaagaagataatagtgctatctatctatcagggctggggaccatgggtttggag
atctacgaacaggtgcccaaactggatgcagtgatattaccagcagggagtcccagtgga
ttgctggccagcaactctgctgccttgaaacatctgaaccaacaagtcttcgtggtcggt
gtagaactggagaatgtccctgtagcacagcagtcattaaagaagggacaacctgttaaa
gatcaggcctatacaagctgctttcagttttacagagaaatgagtggatattcttttggc
accaactctttgcaaccgacggggagcggggttgataaagttgtaacagtgagagaagag
gacatcttgatttctatgctgaggttgctggaatatgaacgtgctgttgtcgatgcagaa
ggagccattggactggctgctcttgtgtctgggcagctaccagagttaaagggcaaaaga
gtggctgttgctgtgtgcagtggaaatatggaactccctctgatgaggcagtgtatggat
catgctcttactcttgataacagagtatgcaaattcactatcatggtttctgattgtcag
gagatatttcgaagctattggagactttggctcgcgaggaagcaagaatattggatatca
gacaagaacacccatacatgagagctgatttgttcaccagtgag
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