P0AF72 AF NFT

Uncharacterized protein YjeI

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia3of6lcno725b7qw5bpja6qpi56epmx6d2wnkmddafjcbbvygazm/metadata.json
IPFS of structure file: 
bafybeihxk53vzkx6hfdjabccu3fdubu32halc6ppxinpojfpramowsrycy/AF-P0AF72-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #533373 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
533373
Accession (UniProt):
P0AF72
Name::
Uncharacterized protein YjeI
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 P0AF72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0AF72|YJEI_SHIFL Uncharacterized protein YjeI OS=Shigella flexneri OX=623 GN=yjeI PE=3 SV=1 MHVKYLAGIVGAALLMAGCSSSNELSAAGQSVRIVDEQPGAECQLIGTATGKQSNWLSGQHGEEGGSMRGAANDLRNQAAAMGGNVIYGISSPSQGMLSSFVPTDSQIIGQVYKCPN