P64498 AF NFT

Protein YoaG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihtppcm7tcy7dyvsrog6f3r3vwh6zf57bq6g7d66i352ayfa4nzfq/metadata.json
IPFS of structure file: 
bafybeigomeekvi2kvo3d37lugmfcfrbxb7s73jow3h53ej7ftvm2png2cq/AF-P64498-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #535542 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
535542
Accession (UniProt):
P64498
Name::
Protein YoaG
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI O157:H7

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 P64498 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P64498|YOAG_ECO57 Protein YoaG OS=Escherichia coli O157:H7 OX=83334 GN=yoaG PE=3 SV=1 MGKATYTVTVTNNSNGVSVDYETETPMTLLVPEVAAEVIKDLVNTVRSYDTENEHDVCGW