Q54V79 AF NFT

Putative uncharacterized protein DDB_G0280563

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaahlh63dfg7xrqk7xdavzrbsyl6whi57ots73iq5nrb3omnexvau/metadata.json
IPFS of structure file: 
bafybeihy3a6y6ehvkyaakphnrmfcstx6akjfnl6ndjwl5qnaiyqj6ozyji/AF-Q54V79-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x133E079e1cB0870fc07292176c48cFF7F4BEb7C7
First NFT owner address (bech32): 
genesis1zvlq08sukzrslsrjjgtkcjx07l6tad78llghug
Current NFT ID #520105 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
520105
Accession (UniProt):
Q54V79
Name::
Putative uncharacterized protein DDB_G0280563
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54V79 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54V79|Y6044_DICDI Putative uncharacterized protein DDB_G0280563 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0280563 PE=4 SV=1 MIKKAMLLIMLYMVLVVNDLILYNILSKAIIKKSKNVWKLKHKPLKNINLETLKNY