Q2WG78 AF NFT

Protein ripply3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicnmc4jnevhlda2qvxvdjgr2zars4ts7bfmcutklf47rsrrp7jm2a/metadata.json
IPFS of structure file: 
bafybeic37rbcbkznzt64yz5lsw24q5yh5qgjpul537ffazblo4ihefamgq/AF-Q2WG78-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0727A7a4F88fBcFc56222F69E3113a0EC067aeD6
First NFT owner address (bech32): 
genesis1qun60f8c3770c43z9a57xyf6pmqx0tkkzyaap4
Current NFT ID #105790 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
105790
Accession (UniProt):
Q2WG78
Name::
Protein ripply3
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q2WG78 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2WG78|DSCR6_DANRE Protein ripply3 OS=Danio rerio OX=7955 GN=ripply3 PE=3 SV=1 MLPVCVDADQALRCSVLWRPWSLSPTEARGHKTLAGGVRSARPSGGVFHHPVRLFLPRSRMQEYLSRLGSSVLASFPVQATLHFYNDEDSSSEEEEDEEHANTRCRLWRP