O31994 AF NFT

SPbeta prophage-derived uncharacterized protein YolA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeievkytvt6tmcpfqawj3lhodfi5f4qlzycckjyax3xzcdqrgu676hm/metadata.json
IPFS of structure file: 
bafybeifylxkdqrugrsos4jr5ctgihfiz6fhyg3fkf2b5kr67kqzrwi7laq/AF-O31994-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1FdF165eB42e29a6686Ef2Ac96F71Aab73034EDE
First NFT owner address (bech32): 
genesis1rl03vh459c56v6rw72kfdac64desxnk77hd2fj
Current NFT ID #535893 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
535893
Accession (UniProt):
O31994
Name::
SPbeta prophage-derived uncharacterized protein YolA
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 O31994 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O31994|YOLA_BACSU SPbeta prophage-derived uncharacterized protein YolA OS=Bacillus subtilis (strain 168) OX=224308 GN=yolA PE=1 SV=1 MKKRITYSLLALLAVVAFAFTDSSKAKAAEALPLYYLQITGITSDGNDFAWDNLTSSQTKAPNVLKGNKLYVKARFMGYTKLTVITGKDGKNLLYNGTAKMFKSDAILGQNKVVIGWDKYFEIPMDALQDNSIQIKALSSGTTFVYSQKIDFERE