Q9CR36 AF NFT

Gastrokine-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaw43lkrbz7nyijvamkk2ebhs7bi6ncs7avjn5occfwcf5k2kezpq/metadata.json
IPFS of structure file: 
bafybeic5ifakysphim3gfbm5g6ty5gudipcpm7n7oy6u73ncqe6btrjpyy/AF-Q9CR36-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd591AB2c86adCdf200aB28b9BEb496Cf7DFb1867
First NFT owner address (bech32): 
genesis16kg6ktyx4hxlyq9t9zumadykea7lkxr87dcmdw
Current NFT ID #147473 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
147473
Accession (UniProt):
Q9CR36
Name::
Gastrokine-1
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9CR36 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CR36|GKN1_MOUSE Gastrokine-1 OS=Mus musculus OX=10090 GN=Gkn1 PE=2 SV=3 MKLTMFVVGLLGLLAAPGFAYTVNINGNDGNVDGSGQQSVSINGVHNVANIDNNNGWDSWNSLWDYENSFAATRLFSKKSCIVHRMNKDAMPSLQDLDTMVKEQKGKGPGGAPPKDLMYSVNPTRVEDLNTFGPKIAGMCRGIPTYVAEEIPGPNQPLYSKKCYTADILWILRMSFCGTSVETY