Q86HN0 AF NFT

Putative uncharacterized protein DDB_G0274507

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih7ey6jiq7s6n5k7bhibzng4rpfdhpr6n5em55gblfkqesca5jequ/metadata.json
IPFS of structure file: 
bafybeid77oi23ub6g4r6cgy4ecmpzd2w65b4alvlqbbezvuppzi2gkm6tq/AF-Q86HN0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e
First NFT owner address (bech32): 
genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr
Current NFT ID #521595 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
521595
Accession (UniProt):
Q86HN0
Name::
Putative uncharacterized protein DDB_G0274507
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 Q86HN0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86HN0|Y7720_DICDI Putative uncharacterized protein DDB_G0274507 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0274507 PE=4 SV=1 MCVCIETLKSLNSNNQGLSSNEQAFGSPSNMNESMVFGSPSSSVLSSSFKGSNSTCATNKSASSAMFSRPFYYE