B4MEG2 AF NFT

Sodium-dependent nutrient amino acid transporter 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic5ir66oym6lm5izhcjqkr66feszebuko5kasrn46pqzvqbq767lm/metadata.json
IPFS of structure file: 
bafybeibuvadpqmnpmd35wzfhyyndyzqgzyoi3dfwtek2ashtgbv72mdqg4/AF-B4MEG2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBc1585a11fb9d79F7571beAD3eDf8A0661969Ae0
First NFT owner address (bech32): 
genesis1hs2ctgglh8te7at3h6knahu2qesedxhqmdfl8n
Current NFT ID #256176 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
256176
Accession (UniProt):
B4MEG2
Name::
Sodium-dependent nutrient amino acid transporter 1
Experimental Method:
Predicted structure
Sequence source:
Drosophila virilis

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 B4MEG2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4MEG2|NAAT1_DROVI Sodium-dependent nutrient amino acid transporter 1 OS=Drosophila virilis OX=7244 GN=NAAT1 PE=3 SV=1 MELKTMPQNGANAGTQHNNNSNNKPDNNEKEAQKKEPERTNWSNGLEFLMSCISVSVGLGNVWRFPFTAYENGGGAFLIPYIIVLFLIGKPMYYLEMIIGQFTSQGTVKIWSICPSFMGVGYGQAFATICIITYYSSLLALTVYYLFVSFQSELPWSYCRDDWVNCVNSRPAEYVETLLTNASSALSRATESATNVTKLQSSSELYFLNVVIKEKSDITDGIGAPDWKLTIALFVSWVVIFLVIMRGVKSSGKAAYFLALFPYVVLFALLGRAVTLEGAVDGIIFFLQPQWGELLNPIVWKEAVVQCFFSLAVGCGPIIMFASYNRFDHGIYRDAMIVTTLDTLTSLLGGITIFAILGNLAHNLKVDNIRDVVRSGTGLAFISYPDAISKFQAVPQLFSALFFFMLFVLGIGSIVALQSTIVTIICDQFKTCKYWKVAMATSICGFLMGLVYVTPGGQWILTLVDFYGGTYVVFILAIFELAGIVWIYGLQNFCDDIEFMSNKKVSLYWRICWSFFTPIMMIVIFIYSMVTISPIKYSDTYFPVAGDVAGWVLFAVGAAQFPLWGWWYIRTHRHDSFSKSFMASLKPSEKWGPSNPETRRDWLLFKSDLAAKRAIQAKSNKMGFFRQKLYNLCGNSN