Q54RG7 AF NFT

Putative uncharacterized protein DDB_G0283223

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiev6mmzsbccksu2546fuhv4y7n55fcfusvemr5veq4h4leawr54tu/metadata.json
IPFS of structure file: 
bafybeif6txxnj3skamav5yvyvgjlgnsx3tuntrfdnz6o3a54p4sqrgmjn4/AF-Q54RG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x975a8Db5cc735C805E96937e8E27Bd27bDA2A698
First NFT owner address (bech32): 
genesis1jadgmdwvwdwgqh5kjdlgufaay7769f5c72p5wj
Current NFT ID #522167 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
522167
Accession (UniProt):
Q54RG7
Name::
Putative uncharacterized protein DDB_G0283223
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 Q54RG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54RG7|Y8453_DICDI Putative uncharacterized protein DDB_G0283223 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0283223 PE=4 SV=1 MKRIISSSKSLKQLSNIGYGSKKQIHCKSVVDSDSDSDSDSDSDSDSDSNSNSNSNSNSNSNSNSNSNSNSNSNNNNNNTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNSVFSELILKLIAERVILINNYNIEKIEEIKGIPELMKSITSTTAETKNNYYSGSYYSSR