Q9HKZ7 AF NFT

Probable GTP 3',8-cyclase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiagretsye5w35jwt5qy3tckylqjuqg7qxfva3o2esppsmn5ia6jry/metadata.json
IPFS of structure file: 
bafybeiawekwfl7dq6hzpmyxnrwzlh42nv3sr7e44a4gmod6tavdwptimvu/AF-Q9HKZ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd32AB9A0bD3424Dd2967E6fD3d3E7c1f3833E0bD
First NFT owner address (bech32): 
genesis16v4tng9axsjd62t8um7n60nuruur8c9acqxh53
Current NFT ID #240460 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
240460
Accession (UniProt):
Q9HKZ7
Name::
Probable GTP 3',8-cyclase
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 Q9HKZ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HKZ7|MOAA_THEAC Probable GTP 3',8-cyclase OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=moaA PE=3 SV=1 MPIYDRYGRPVLSLRIQLNTTCNFSCFFCHMEGTDVNGEELTPEEIERVVKISHEFGVNKVKITGGEPTLRADIIDIIGRIRKHITGNISMTTNGTMLPKIAKDLKKAGLDRVNISLHSPDDERFHFITGTRMIDRVLEAVRSANDAGLTPVKINFVVLKDLNVNDIPRMLEIAAENNAILQLIEYETDREGESSEEYRRYHISLDPIEAQIRKKAIGVEYNDLHNRPRYLMKNDHGVVKIEFVKPQRNPDFCAHCTRLRITSRGEFKTCLMRSDTNVPFKGVTDENRLRDLFRIAVSLREPYWKPGDEQQTEETYDSAISESK