Q9ZGW3 AF NFT

Antitoxin ParD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidq7u7rqnbft3jeb7nxcajbtxkitrxemqvlh2aruinu2glggn5zta/metadata.json
IPFS of structure file: 
bafybeigyqpo6mfoac647ak3m2e7pzvnoyaivthrtmtjx26u5ixaq6e7wbu/AF-Q9ZGW3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x94796168cFf9bD786025A738B85f21667861E30A
First NFT owner address (bech32): 
genesis1j3ukz6x0lx7hscp95uutshepveuxrcc2808mp4
Current NFT ID #288452 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
288452
Accession (UniProt):
Q9ZGW3
Name::
Antitoxin ParD
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q9ZGW3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZGW3|PARD_YERPE Antitoxin ParD OS=Yersinia pestis OX=632 GN=parD PE=3 SV=2 MAHVTSVTLGEHLTGFVGEMIQSGRYGNISEVLRDALRLMEAREQRVQHVRDMVLAGTNVPVSHRLMDEIFSAAVKDTSV