Python bivittatus (Burmese python): 103064670
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Entry
103064670 CDS
T03091
Name
(RefSeq) retina-specific copper amine oxidase-like
KO
K00276
primary-amine oxidase [EC:
1.4.3.21
]
Organism
pbi
Python bivittatus (Burmese python)
Pathway
pbi00260
Glycine, serine and threonine metabolism
pbi00350
Tyrosine metabolism
pbi00360
Phenylalanine metabolism
pbi00410
beta-Alanine metabolism
pbi01100
Metabolic pathways
Brite
KEGG Orthology (KO) [BR:
pbi00001
]
09100 Metabolism
09105 Amino acid metabolism
00260 Glycine, serine and threonine metabolism
103064670
00350 Tyrosine metabolism
103064670
00360 Phenylalanine metabolism
103064670
09106 Metabolism of other amino acids
00410 beta-Alanine metabolism
103064670
Enzymes [BR:
pbi01000
]
1. Oxidoreductases
1.4 Acting on the CH-NH2 group of donors
1.4.3 With oxygen as acceptor
1.4.3.21 primary-amine oxidase
103064670
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SSDB
Ortholog
Paralog
GFIT
Motif
Pfam:
Cu_amine_oxid
Cu_amine_oxidN2
Cu_amine_oxidN3
Motif
Other DBs
NCBI-GeneID:
103064670
NCBI-ProteinID:
XP_007445265
UniProt:
A0A9F2RE36
LinkDB
All DBs
Position
Unknown
AA seq
493 aa
AA seq
DB search
MGEEEGGQDTGSQVFQDLTPEEIMQVKMYLQSNLGVPLVETPQAKPSDNCIYFITLQLPP
KAEVLQFLDHQEYRPPREALAVVHFGNQLDPNVTEFVVGPLPEPTYHQDITVEKYGRKLP
YSKRFVLTNEFNEINDFLKRNEYPKAPNFMQKVLNYNGSSFEYIHQMPPGLKSGDRKMWV
SLFQNVIGYYLHPVGFEVQVDHSSLDVSQVTFMRWSFAFGIDASMGPRIFDVRFNGERII
YELSLQDASNIYGSNSPTSMSIRYMHASFGLGSFIFPLTQGLDCPYLSNYLDWHFFRDTS
LPVNRKKAICIFEQNAELPLRRHYESIQFPFYGGLADSHLVFRTISSVGNYDFVWDFIFH
QNGAVAVKAHTSGYIQSAFYFGDARDFGNRVQEWVLGVIHTHNIHFKVDLDIGGVNNTLV
GNDMAFETXXXVLDTEDQAAFRLRDNVPRYMYFAANRTNKWGHERGYRIQIVSFSGDHLP
ESDPMEPGLSWGR
NT seq
1478 nt
NT seq
+upstream
nt +downstream
nt
atgggggaagaggaaggtggtcaggatactggcagccaggtatttcaagatttaactcca
gaagagataatgcaagtaaagatgtatttgcaatccaacctgggagtgccactggtagag
acacctcaagccaagccatcagacaactgcatctatttcattaccttgcagcttcctccc
aaagcagaagtattacaattcctagaccatcaggaatataggccaccacgagaagctctg
gctgtggtccattttggaaatcagctggaccccaatgtgacagaatttgtggtgggtcca
cttccagaaccaacatatcatcaagatatcacggtagaaaaatatggaagaaaactgcct
tactctaaaaggtttgttttgacaaatgagtttaatgaaatcaatgatttcttaaagagg
aatgaatatcctaaggctccaaatttcatgcaaaaggttctaaattacaatggaagcagt
tttgagtatattcatcaaatgccaccagggctaaaatccggagatcgcaaaatgtgggtg
agtcttttccagaatgtgattggctactatttgcatccagttgggtttgaggtccaagtg
gatcatagtagcctggatgtttctcaagtcaccttcatgaggtggagttttgcctttgga
attgatgcaagcatggggccccgcatctttgatgtcaggtttaatggagaaagaataatc
tatgagttaagtttgcaagatgcaagcaatatctatggctccaacagtcccacatccatg
tcgatcagatacatgcatgccagctttggacttggatcatttatcttcccacttacccag
ggactagattgtccttatttatcaaattatttggactggcactttttccgtgatacttca
ttacctgttaaccgtaaaaaggcgatctgcatctttgagcagaatgctgagttgccccta
cgacgacattatgaaagtatccagttccctttttatggaggcttggcagattcacatctg
gtgttccggactatatcttcagttggcaactatgactttgtctgggattttattttccac
caaaatggagctgttgctgttaaggcccataccagtgggtacattcaatctgctttttac
tttggtgatgccagagactttggcaatagagttcaagaatgggtgctgggagtaattcac
acccacaatattcacttcaaagtggatctggatatcggtggtgtgaacaataccctggtt
ggcaatgacatggcttttgagacnnnnnnnnnngttttggataccgaggaccaagctgca
ttccgcctccgtgacaacgtgcccagatacatgtactttgctgccaaccgcaccaataag
tggggccatgagcgaggctatcggatccagatagtcagcttctctggagaccatctgcca
gaatcagatcccatggagccaggcctcagctggggtcg
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