P0ADN9 AF NFT

Uncharacterized lipoprotein YifL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibllen3mjx7szenne5y5fcwbhuopklud22grzyhm23jy4ug2ngm4a/metadata.json
IPFS of structure file: 
bafybeigl3ay3snq2wvr67xb5mpalmvwerlq7bzyyinyup7coxzsd62k7ue/AF-P0ADN9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6c0ed31180Cc0c9710f03b1b73d6101358ba9204
First NFT owner address (bech32): 
genesis1ds8dxyvqesxfwy8s8vdh84sszdvt4ysyw7alkk
Current NFT ID #532788 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532788
Accession (UniProt):
P0ADN9
Name::
Uncharacterized lipoprotein YifL
Experimental Method:
Predicted structure
Sequence source:
SHIGELLA FLEXNERI

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 P0ADN9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0ADN9|YIFL_SHIFL Uncharacterized lipoprotein YifL OS=Shigella flexneri OX=623 GN=yifL PE=3 SV=1 MKNVFKALTVLLTLFSLTGCGLKGPLYFPPADKNAPPPTKPVETQTQSTVPDKNDRATGDGPSQVNY