Q83LB9 AF NFT

UPF0509 protein YciZ

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihnhev4kbqdi5ghrznh6nlbltg55xdmiux36pilgqyq4e2r5atejy/metadata.json
IPFS of structure file: 
bafybeifkjn6nm746446yb7twx3mrhbizoesr2zkjx55y6vdzfv4fdux5aq/AF-Q83LB9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x17d7D5c62B731f42eBE008979dc6A3E4bdb514C5
First NFT owner address (bech32): 
genesis1zltat33twv0596lqpztem34ruj7m29x9wfhvf5
Current NFT ID #527740 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
527740
Accession (UniProt):
Q83LB9
Name::
UPF0509 protein YciZ
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 Q83LB9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83LB9|YCIZ_SHIFL UPF0509 protein YciZ OS=Shigella flexneri OX=623 GN=yciZ PE=3 SV=2 MSEFDAQRVAERIDIVLDILVAGDYHSAIHNLEILKAELLRQVAESTPDIPKTPWEI