P64577 AF NFT

Uncharacterized protein YghW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidgxu4t3pctwoqk4kqyyerzc7dezekzc7wzedda4xczpeasrlwl4y/metadata.json
IPFS of structure file: 
bafybeia2wgz63my7r7odjzhmsbzq7gsaq4zbdl7s6bmefsm7rmg7gj7gkq/AF-P64577-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152
First NFT owner address (bech32): 
genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn
Current NFT ID #530596 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
530596
Accession (UniProt):
P64577
Name::
Uncharacterized protein YghW
Experimental Method:
Predicted structure
Sequence source:
SHIGELLA FLEXNERI

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 P64577 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P64577|YGHW_SHIFL Uncharacterized protein YghW OS=Shigella flexneri OX=623 GN=yghW PE=4 SV=1 MNNHFGKGLMAGLKATHADSAVNVTKFCADYKRGFVLGYSHRMYEKTGDRQLSAWEAGILTRRYGLDKEMVMDFFRENNSCSTLRFFMAGYRLEN