Q86IG7 AF NFT

Putative uncharacterized protein DDB_G0272821

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif2cywnhq7fsn67tfhq4r7sksqef5ir3dqyptyrr7mpgk655dhspi/metadata.json
IPFS of structure file: 
bafybeiekbf4ybxj7rq7yydvutnpw36hub2xnkt27sceujv76rzs264ce2a/AF-Q86IG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #522578 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
522578
Accession (UniProt):
Q86IG7
Name::
Putative uncharacterized protein DDB_G0272821
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 Q86IG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86IG7|Y8915_DICDI Putative uncharacterized protein DDB_G0272821 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0272821 PE=4 SV=1 MKIDPIELIKLQRFEELFEKYFTYYDDNTKALLENEKLYIEIGNKCVQFDELLDRFIKVLINFNLLENSKEFIINSILIKSIKNGFLKNLQYFLTTDNRNLFKISNEIIIKILLNSAIINDNITMVSYLLSILFPFLFFNNNQIISSQTIPRISTVTKEEKELLLSINEQLNSIKLITKMENYLKKTILFFDL