Q54N95 AF NFT

Putative uncharacterized protein DDB_G0285383

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiayg4vxrvbhhex4fhjyyr5zcestxvtn2xdg2olyphxxvwowun4ecm/metadata.json
IPFS of structure file: 
bafybeibzwxcilxskl2icuqp4y7z7cuuopqprefb275ftvjlmf3vru4p7te/AF-Q54N95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #520510 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
520510
Accession (UniProt):
Q54N95
Name::
Putative uncharacterized protein DDB_G0285383
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 Q54N95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54N95|Y6488_DICDI Putative uncharacterized protein DDB_G0285383 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0285383 PE=4 SV=1 MDAIQTRMVISEFEKRIRREAQEKINQFSQQQWILYHLSHPDDEQ