Q9HLQ2 AF NFT

Phosphoglycolate phosphatase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifkc6d3sdmcvgt3eftwbv5cnv33njrpvpvhweepbbs5igke3v7ata/metadata.json
IPFS of structure file: 
bafybeicbowcw57tucqteg3xoj4sz3bbnffhi2ft4jyi772fv6hrcp5ahya/AF-Q9HLQ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x70cB7fb40A2dcEd575CF6998DfBC187da701eAcD
First NFT owner address (bech32): 
genesis1wr9hldq29h8d2aw0dxvdl0qc0knsr6kdqga5tn
Current NFT ID #297231 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
297231
Accession (UniProt):
Q9HLQ2
Name::
Phosphoglycolate phosphatase
Experimental Method:
Predicted structure
Sequence source:
THERMOPLASMA ACIDOPHILUM (STRAIN ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165)

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 Q9HLQ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HLQ2|PGP_THEAC Phosphoglycolate phosphatase OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=Ta0175 PE=1 SV=1 MIRLAAIDVDGTLTDRDRLISTKAIESIRSAEKKGLTVSLLSGNVIPVVYALKIFLGINGPVFGENGGIMFDNDGSIKKFFSNEGTNKFLEEMSKRTSMRSILTNRWREASTGFDIDPEDVDYVRKEAESRGFVIFYSGYSWHLMNRGEDKAFAVNKLKEMYSLEYDEILVIGDSNNDMPMFQLPVRKACPANATDNIKAVSDFVSDYSYGEEIGQIFKHFELM