P69972 AF NFT

Yop proteins translocation lipoprotein J

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieahl2pljin3cac64zdbnd7lnhwc3l5dt2bicsflgpozyg2k6a6t4/metadata.json
IPFS of structure file: 
bafybeicitnemp4hiov74jwti2m2vws2sbhkp4l3ezl6adr6ra2npn3jh6y/AF-P69972-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xffd3A8BB39E944e035Fb9DC609Be7008d4b93326
First NFT owner address (bech32): 
genesis1llf63weea9zwqd0mnhrqn0nspr2tjvex8l8rdk
Current NFT ID #538194 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
538194
Accession (UniProt):
P69972
Name::
Yop proteins translocation lipoprotein J
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 P69972 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P69972|YSCJ_YERPE Yop proteins translocation lipoprotein J OS=Yersinia pestis OX=632 GN=yscJ PE=1 SV=1 MKVKTSLSTLILILFLTGCKVDLYTGISQKEGNEMLALLRQEGLSADKEPDKDGKIKLLVEESDVAQAIDILKRKGYPHESFSTLQDVFPKDGLISSPIEELARLNYAKAQEISRTLSEIDGVLVARVHVVLPEEQNNKGKKGVAASASVFIKHAADIQFDTYIPQIKQLVNNSIEGLAYDRISVILVPSVDVRQSSHLPRNTSILSIQVSEESKGHLIGLLSLLILLLPVTNLAQYFWLQRKK