Q86JG2 AF NFT

Putative uncharacterized protein DDB_G0271554

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibolsxh2w5maxo3cbkqmnesqsdhpmj67uoiml525i55nbl6bgkv54/metadata.json
IPFS of structure file: 
bafybeihtfasrrelkcjoa5yhhkmcbrbtw45m5mk57ruveizpzpoz2eyc4a4/AF-Q86JG2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBeB220F0B5b0C48F46B5DDd3E3b071BC0827f8D6
First NFT owner address (bech32): 
genesis1h6ezpu94krzg7344mhf78vr3hsyz07xk78k92g
Current NFT ID #522139 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
522139
Accession (UniProt):
Q86JG2
Name::
Putative uncharacterized protein DDB_G0271554
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 Q86JG2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86JG2|Y8418_DICDI Putative uncharacterized protein DDB_G0271554 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0271554 PE=4 SV=1 MSILKTILSLGSNNKNLNNNFIINKNINNQNNLFNHNNNNTQGWKPNYFVVGTAKQNAHL