Q54C64 AF NFT

Probable N-acetylglucosaminyl-phosphatidylinositol de-N-acetylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbnigsi2q6nte5t6v2wkkv7utxxhc7l5bn2n7sneg2m5ihlowilu/metadata.json
IPFS of structure file: 
bafybeig4tephtvy65x7btbrayjomewf3nvym5adeka7xteiwvpx7bvhg4u/AF-Q54C64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6DAA77C4263E74E745cA9c4D8E291e57e8991Cf5
First NFT owner address (bech32): 
genesis1dk4803px8e6ww3w2n3xcu2g72l5fj884walv9j
Current NFT ID #299445 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
299445
Accession (UniProt):
Q54C64
Name::
Probable N-acetylglucosaminyl-phosphatidylinositol de-N-acetylase
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 Q54C64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54C64|PIGL_DICDI Probable N-acetylglucosaminyl-phosphatidylinositol de-N-acetylase OS=Dictyostelium discoideum OX=44689 GN=pigl PE=3 SV=1 MKNHLNNNEDNSTLIKKKVLFVIAHPDDECMFFTPTIQHYNFIGSEIFVACLSNGNAVGLGKIREKELIDSCIDMGINQENVFFDQTNNFQDGMNIIWDTDLVEKTILSFIKQTSADIVISFDECGISSHPNHISISNGLKQLMKNKSSSTTTTSTTSSSSSSSSLSNRTTNNLNKEIKAYKLETVNIIRKYIGIADIPLTKLLSYDENSTQTFISTQLFPPSSYSPMTKHKSQFVWFRYLFVFLSRYSFINTLIEIK