Q59I64 AF NFT

Y+L amino acid transporter 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihvrt33k4bnv55qcbu5tegva4shp2ndsqzo6f5femgajvyqfz3cfm/metadata.json
IPFS of structure file: 
bafybeicqemij2wb6x66x2hah6xp4754ye4xidn7tzmc5ocjq663zwqa634/AF-Q59I64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa7e3031c43CB89a6785102a309F7e2b2e7370dBe
First NFT owner address (bech32): 
genesis15l3sx8zrewy6v7z3q23snalzktnnwrd77emvum
Current NFT ID #534273 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
534273
Accession (UniProt):
Q59I64
Name::
Y+L amino acid transporter 2
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q59I64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q59I64|YLAT2_DANRE Y+L amino acid transporter 2 OS=Danio rerio OX=7955 GN=slc7a6 PE=2 SV=1 MQLKKEISLLNGVSLIVGNMIGSGIFVSPKGVLIYSASYGLSLVIWAIGGIFSVVGALCYAELGTTITKSGASYAYILESFGGFIAFIRLWTSLLIIEPTSQAVIAITFANYLVQPLFPTCEPPYSASRLIAAACICLLTFINSAYVKWGTRVQDVFTYAKVLALIVIIITGIVKLCQGFTINFEDSFQGSSRDPGGIALALYSALFSYSGWDTLNFVTEEIKNPERNLPLSIAISMPIVTIIYILTNVAYYAVLDMSAILASDAVAVTFADHTLGVMSWTIPIAVALSCYGGLNSSIIAASRLFFVGAREGHLPDALSMIHIERFTPVPALLFNCAMALIYLTVEDVFQLINYYSFSYWFFVGLSIAGQIYLRWKEPDRPRPLKLSLVYPIIFCLCVVFLVAVPLYSDTLNTLIGIAIALSGVPVYFLGIHLPESKRPPIITKLLSAITRFTQFTCFYVLTEMDTVD