Q9LNK7 AF NFT

Probable magnesium transporter NIPA3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibxsd53wy6r2oepamxx63kkoj23cankvrgjwqhfx3zmy6lyzcmfou/metadata.json
IPFS of structure file: 
bafybeid5w2dtjgu7cwtxh56hyu5vzh3n35wxyv4xp4uywli5upubp5e3m4/AF-Q9LNK7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA80347Aa690FE12ACe878Fda355131B88e23BFEC
First NFT owner address (bech32): 
genesis14qp502nfplsj4n583ldr25f3hz8z80lvm8hytc
Current NFT ID #265622 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
265622
Accession (UniProt):
Q9LNK7
Name::
Probable magnesium transporter NIPA3
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9LNK7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LNK7|NIPA3_ARATH Probable magnesium transporter NIPA3 OS=Arabidopsis thaliana OX=3702 GN=At1g34470 PE=2 SV=1 MASLSGSWRDAYKGMSSDNIKGLVLALSSSLFIGASFIVKKKGLKRAGASGLRAGSGGYSYLLEPLWWVGMITMIVGEIANFAAYAFAPAILVTPLGALSIIISAALAHVILHEKLHTFGLLGCVLCVVGSITIVLHAPQEQEIDSVLQVWNLATEPAFLLYAAAVVGAAIILIVQFVPQYGQSHVMVYIGVCSLVGSLSVMSVKALGIALKLTFSGMNQLIYPQTWVFTLIVLTCVITQMNYLNKALDTFNTAVVSPIYYVMFTSLTILASVIMFKDWDRQDGTQIVTELCGFVTILSGTFLLHKTKDMVDGSSSLGNLALRLPKQLEDSNGFEQEGIPLTLRRHECTKSPRPMRQFILPQDGPEAV