Q86IK1 AF NFT

Uncharacterized protein DDB_G0272724

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifd4y7gwv3fybu2jo4znwz2rf7zekrolqj5lygfxhey3k2522flpi/metadata.json
IPFS of structure file: 
bafybeibc23y73dyx5cru7k56gnqcaimjl37siyljajmia7bpuhjqlogu7q/AF-Q86IK1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x53b28510180402947A4334bb5E9B806FD2b6c2C0
First NFT owner address (bech32): 
genesis12weg2yqcqspfg7jrxja4axuqdlftdskq9klawd
Current NFT ID #522544 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
522544
Accession (UniProt):
Q86IK1
Name::
Uncharacterized protein DDB_G0272724
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 Q86IK1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86IK1|Y8872_DICDI Uncharacterized protein DDB_G0272724 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0272724 PE=4 SV=1 MGHHHHHHGHHGHHHHDTITYTTGVYGAPVVPMVQPMVQPMVQPMPIYGQPPMMGAPVMVPPPMMGAPVMVPQPMVYPTTTVVYETGHHHHHGHHHGHHHGHFF