C0HJJ2 AF NFT

Glucagon-4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic7wbwdjhx6cnio4cncsubj6xpwhnjtu73jhqmgn5lntanwc2p3wi/metadata.json
IPFS of structure file: 
bafybeigogtu4kbmndlw7qio7bo7ym5q3pb3zqzy4rggavrfsix4eryxb2u/AF-C0HJJ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8873c1b38A148297C06f7797E3A5aBaef6A3Feba
First NFT owner address (bech32): 
genesis13peurvu2zjpf0sr0w7t78fdt4mm28l46mhz3ps
Current NFT ID #153038 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
153038
Accession (UniProt):
C0HJJ2
Name::
Glucagon-4
Experimental Method:
Predicted structure
Sequence source:
Huso dauricus

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 C0HJJ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0HJJ2|GLUC4_HUSDA Glucagon-4 OS=Huso dauricus OX=55293 PE=1 SV=1 HSQGMFTNDYSKYLEEKSAKEFVEWLKNGKS