P96723 AF NFT

Putative antitoxin YwqK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibefi3mrd63w5pw6uzw6c54rkkdpvycphxydbpteh2o3yo6bffjjy/metadata.json
IPFS of structure file: 
bafybeihlwgwdedbq7llyisfjl6pyl7kmha4eon7plkfavtlzsw3ko2tl5u/AF-P96723-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEcFdC9Af6f95741e8FeAA0c9b6c43976C0126196
First NFT owner address (bech32): 
genesis1an7untm0j46parl25rymd3pewmqpycvkuz5n43
Current NFT ID #539120 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
539120
Accession (UniProt):
P96723
Name::
Putative antitoxin YwqK
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 P96723 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P96723|YWQK_BACSU Putative antitoxin YwqK OS=Bacillus subtilis (strain 168) OX=224308 GN=ywqK PE=1 SV=1 MENEYDMKSIKEKGVDFEDLWFSSVSDEILDNPEDENGQPFTGLAYELYPNGQIIYFTKYKNGLAHGLTCEFYENGNKKSEKEYRYGQLHGISIIWFENGRKKSEQQYEHSILISEKNWDEEGNLLNKYEIDTDSPHFEILESRRETHINLGRE