Q9ZHA2 AF NFT

Cell division protein SepF

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiauuuxpqiocg5o4stzvtxnitcm7uu4ynhc53ptu4pukstmvi6anqy/metadata.json
IPFS of structure file: 
bafybeifouc6xy6rewlpdop5rodxngqfxxtrcjatjshiw7cn3darokdxakm/AF-Q9ZHA2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x222C6BfE34A650a63C34bE286d1A8726214Fe68C
First NFT owner address (bech32): 
genesis1ygkxhl355eg2v0p5hc5x6x58ycs5le5vtkvrxl
Current NFT ID #426163 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
426163
Accession (UniProt):
Q9ZHA2
Name::
Cell division protein SepF
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS

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 Q9ZHA2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZHA2|SEPF_STAAU Cell division protein SepF OS=Staphylococcus aureus OX=1280 GN=sepF PE=3 SV=2 MSHLALKDLFSGFFVIDDEEEVEVPDKQQQVNEAPAKEQSQQTTKQNAIKSVPQKSASRYTTTSEERNNRMSNYSKNNSRNVVTMNNATPNNASQESSKMCLFEPRVFSDTQDIADELKNRRATLVNLQRIDKVSAKRIIDFLSGTVYAIGGDIQRVGTDIFLCTPDNVEVAGSITDHIENMEHSFD