Q86H78 AF NFT

Putative uncharacterized protein DDB_G0275597

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiem2se33c5xyblltc4xyy6ksrmao7eh5tb6tap44shnbufswr6ycy/metadata.json
IPFS of structure file: 
bafybeiazc2xegb7dssh25upo52anfmvb2n3pj37yol5ud2ebiv5y2gw2aq/AF-Q86H78-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8a24CBa3fbFCBbB9686CfD21aB7D75cD5a37f2D0
First NFT owner address (bech32): 
genesis13gjvhglmljamj6rvl5s6klt4e4dr0uksct3xdl
Current NFT ID #521269 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
521269
Accession (UniProt):
Q86H78
Name::
Putative uncharacterized protein DDB_G0275597
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 Q86H78 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86H78|Y7323_DICDI Putative uncharacterized protein DDB_G0275597 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0275597 PE=4 SV=1 MERIQIISNHILPIVQHNNNNKQYYEQQYLLLANNTTDAIMELSEEHEKEESLRKIQCENNGIEYVYKPLFIDFGVHMNNNNNNKTITVDNNNNNNNNNNNNNNK