O32002 AF NFT

SPbeta prophage-derived uncharacterized protein YokE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidl56qhrqx5qdgfq6voox3avektk6ae2szxj3aorwedtwpdlzk5ue/metadata.json
IPFS of structure file: 
bafybeihnxbiym6tu5fja6ywfaks2i74nkczsg6jdf4cyhblmvn4cxuqemq/AF-O32002-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC0491A7e4a5851164cEffD648c5067B32B6C2422
First NFT owner address (bech32): 
genesis1cpy35lj2tpg3vn80l4jgc5r8kv4kcfpzh0k3ru
Current NFT ID #535879 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
535879
Accession (UniProt):
O32002
Name::
SPbeta prophage-derived uncharacterized protein YokE
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 O32002 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O32002|YOKE_BACSU SPbeta prophage-derived uncharacterized protein YokE OS=Bacillus subtilis (strain 168) OX=224308 GN=yokE PE=4 SV=1 MGQKFHKLNSKYGIIDYPILLKDLESIIQEFPKSERKFYEYAIKALKKEVGKKEKILHMTSADPKLTKFGFMVITEKKLLFVTMKGGFFGGADTEVVEFKSIKEVDFDIAPNPLGMATMQLGILHLKIKGKLGMSSKRTIRNIDEHSLDKIVAILREQTK