Q7XPZ4 AF NFT

Very-long-chain aldehyde decarbonylase GL1-7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicles534kushxwwpdi7w3oabwsytsvwvu7wvgkth5uqthsjb3q7bq/metadata.json
IPFS of structure file: 
bafybeih36vritm5mz2cerl4porqxd26unp6p6zwqljqaejbciqwcy3tpr4/AF-Q7XPZ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x567c68955ce1Aa63461C127c6dDE626eDDdf8B9b
First NFT owner address (bech32): 
genesis12e7x392uux4xx3suzf7xmhnzdmwalzumtvva3c
Current NFT ID #151369 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
151369
Accession (UniProt):
Q7XPZ4
Name::
Very-long-chain aldehyde decarbonylase GL1-7
Experimental Method:
Predicted structure
Sequence source:
ORYZA SATIVA SUBSP. JAPONICA

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q7XPZ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7XPZ4|GLO17_ORYSJ Very-long-chain aldehyde decarbonylase GL1-7 OS=Oryza sativa subsp. japonica OX=39947 GN=GL1-7 PE=2 SV=3 MATRPGPLTEWPWQWMGGYKYLVLAPVAMHTAHRLATKGWGDFDPAYTFMLPTLLLRMIHNQIWISLSRYQTARRKHLIVDRSLDFEQVDRVLYLDDQIILNGLLFYLGYAIIPNFRLMPVWRTNGALITILLHMGPVEFLYYWFHRALHHHFLYSRYHSHHHASIVTEPITSVIHPFAEHLAYFLLFSISILPPIFMGCGSVLAGVLYITYIDFMNNMGHCNFELMPKWMFQTFPPLKYLIYTPSFHSLHHTQFRTNYSLFMPFYDYIYNTMDSSSDELYERSLKGTEETPDIVHLTHMTSLKSTYHLRIGITSISSKPCNDSVWYMWMLWPVAWLSMVLAWIYGSSAFVVERLKLKKFSMQVWALPRYNFQVMDSSALGKVSPSTILIEKAILDANEKGVKVLSLGLLNQAEQLNGSGELFAKKYPRLRVRLIDGSGLATAVVLNSIPFGTKQVFLCGSNSKVTRATAIALCQRGVQVILNQEKEYGMLKSRVPESRAIYLKFSNDETPQIWIGDSIDDAQGRAPKGTIFIPTSQFPLKKARKDCTYLSNPAMKIPETMQNVHTCENWLPRRVMSAWRIAGILHALEGWEMHECGDDMMTIEKTWSAAIKHGFKPLTKPCSLNSGTDL