Q9FLG2 AF NFT

Magnesium transporter MRS2-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicunmhnlwaunvanfpw6hv7uy5tpcnzworqomxceop3qa5jdrecfia/metadata.json
IPFS of structure file: 
bafybeidqpnfjfpdabfbokso53sb76iebkgvrrudczzz7wcdr57lhirrvp4/AF-Q9FLG2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x940bB0965EeFe24d3893a6Bf34f0F4F8890dF048
First NFT owner address (bech32): 
genesis1js9mp9j7al3y6wyn56lnfu85lzysmuzgfp0tzq
Current NFT ID #244250 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244250
Accession (UniProt):
Q9FLG2
Name::
Magnesium transporter MRS2-2
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 Q9FLG2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FLG2|MRS22_ARATH Magnesium transporter MRS2-2 OS=Arabidopsis thaliana OX=3702 GN=MRS2-2 PE=2 SV=1 MAQNGYLVPADPSAVVTVKKKTPQASWALIDATGQSEPLDVDKYEIMHRVQIHARDLRILDPNLSYPSTILGRERAIVLNLEHIKAIITSEEVLLRDPSDENVIPVVEELRRRLPVGNASHNGGQGDGKEIAGAQNDGDTGDEDESPFEFRALEVALEAICSFLAARTAELETAAYPALDELTSKISSRNLDRVRKLKSAMTRLTARVQKVRDELEQLLDDDDDMADLYLSRKLSSASSPISSIGEPNWYTTSPTIGSKISRASRASLATVHGDENDVEELEMLLEAYFMQIDSTLNRLTTLREYIDDTEDYINIQLDNHRNQLIQLELVLSSGTVCLSMYSLVAGIFGMNIPYTWNDGHGYMFKYVVGLTGTLCVVVFVIIMSYARYKGLVGS