P0CG01 AF NFT

Gastrokine-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaj5dg6hyoqb2wpr72grcgxdloyhspgoj47rm5tcul377hdj7iy2i/metadata.json
IPFS of structure file: 
bafybeiavcvtxvyjbokrt3xqwku7l7ni3do53hzvhevfso45dcwdvwpasmy/AF-P0CG01-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x67Cfa51D47d3aEF6be80EF3a7dDDb43e89bf6Ade
First NFT owner address (bech32): 
genesis1vl8628286wh0d05qaua8mhd586ym76k7rz6qdg
Current NFT ID #147478 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
147478
Accession (UniProt):
P0CG01
Name::
Gastrokine-3
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 P0CG01 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CG01|GKN3_HUMAN Gastrokine-3 OS=Homo sapiens OX=9606 GN=GKN3P PE=3 SV=1 MKHLVASSILGVFVLTPSLAMMNIRFNHPLYGSFGTQIIHIGAFQGMVSIRDNNIFSEWDGILDYKNALLVAKVFNKMACVLARMDKAVFPSLDDISKALDKQAFKYYPSTRGLTYTVLPSWVKNLAQYGKPIKNMCRDDPTYFAQQQKEGTALAIDSNSCFEIQLLSFMGLFICGETPGL