Q9PRQ9 AF NFT

Glucagon

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib6z4bxht7gaxviny5rsi4pt5fljzxvevrnd67zk3npwbfpl2mufu/metadata.json
IPFS of structure file: 
bafybeiaacdgwahn4znioav3nxuhj6xw3nwu7tgmi742dgakhaxxecqxhja/AF-Q9PRQ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB3Ab416696389A921046DDA22F83Be8e512fde4d
First NFT owner address (bech32): 
genesis1kw45ze5k8zdfyyzxmk3zlqa73egjlhjdr88zuw
Current NFT ID #153065 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
153065
Accession (UniProt):
Q9PRQ9
Name::
Glucagon
Experimental Method:
Predicted structure
Sequence source:
LAMPETRA FLUVIATILIS

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 Q9PRQ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PRQ9|GLUC_LAMFL Glucagon OS=Lampetra fluviatilis OX=7748 GN=gcg PE=1 SV=1 HSQGSFTSDYSKYLDSKQAKDFVIWLMNT