P64589 AF NFT

Uncharacterized protein YqjI

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5nxtjozsy7dp4rsochhbkxs4kujjmtpa7rjxjtdpigczwfghknq/metadata.json
IPFS of structure file: 
bafybeie5zcebxwrptje5tsmrzwgdfibvk4kan4z3ytofwnis7gcolqpqxu/AF-P64589-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCa362f979B89bC75244B26182ebf222b19Bf0036
First NFT owner address (bech32): 
genesis1egmzl9um3x782fztycvza0ez9vvm7qpku0zzqc
Current NFT ID #537785 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
537785
Accession (UniProt):
P64589
Name::
Uncharacterized protein YqjI
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 P64589 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P64589|YQJI_SHIFL Uncharacterized protein YqjI OS=Shigella flexneri OX=623 GN=yqjI PE=4 SV=1 MSHHHEGCCKHEGQPRHEGCCKGEKSEHEHCGHGHQHEHGQCCGGRHGRGGGRRQRFFGHGELRLVILDILSRDDSHGYELIKAIENLTQGNYTPSPGVIYPTLDFLQEQSLITIREEEGGKKQIALTEQGAQWLEENREQVEMIEERIKARCVGAALRQNPQMKRALDNFKAVLDLRVNQSDISDAQIKKIIAVIDRAAFDITQLD