Q86H87 AF NFT

Putative uncharacterized protein DDB_G0275587

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicmytjhpfk2derzvmx24hucvpl2m57gnjwsqqsppjt2ryzpevg7ca/metadata.json
IPFS of structure file: 
bafybeiaq7eqefobk6bzc6n2dhzlrv6nau235qnjw7otntnb3k6ay3nysji/AF-Q86H87-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCB7D2d3690111d20A766Df22f10aB165316f8A24
First NFT owner address (bech32): 
genesis1ed7j6d5szywjpfmxmu30zz43v5cklz3yfae77v
Current NFT ID #521262 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
521262
Accession (UniProt):
Q86H87
Name::
Putative uncharacterized protein DDB_G0275587
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 Q86H87 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86H87|Y7311_DICDI Putative uncharacterized protein DDB_G0275587 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0275587 PE=4 SV=1 MLFKSIISLSNSSKSLNNKINNDNENNNLEFSSNKTTINPYSVFSYSRPLWNC