Q54B95 AF NFT

Putative uncharacterized protein DDB_G0293808

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifqrt5jhpcisoxrtckqo6zz2775jgfdpscwe65di3ligfnouoqhf4/metadata.json
IPFS of structure file: 
bafybeihs5fch3wzsslr3wjpiivte5cp2z5utrc2rulg7z2g6e6tpkqzkfm/AF-Q54B95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0fF583881C149817cdC6D4DEB7c1508b0a6547C7
First NFT owner address (bech32): 
genesis1pl6c8zquzjvp0nwx6n0t0s2s3v9x2378qcyqkh
Current NFT ID #511086 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
511086
Accession (UniProt):
Q54B95
Name::
Putative uncharacterized protein DDB_G0293808
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 Q54B95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54B95|Y2135_DICDI Putative uncharacterized protein DDB_G0293808 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0293808 PE=3 SV=1 MFKFSIPLLLFIFLFFSCINSITHIRVGAFYPPPAHLQPQSGFIWEFLGTRNPDKSNEKLPERILSGSSGSCSSCSISSSNGSSSRSSKQ