Q9HKQ0 AF NFT | MOLNFT bioinformatics, blockchain

Tritrans,polycis-undecaprenyl-diphosphate synthase (geranylgeranyl-diphosphate specific)

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidnmohzi5qdmmchjk5ejv5me7rghfcbs4hobdgs2amhl3vyjogfx4/metadata.json

IPFS of structure file:

bafybeicr462mbfa5hykxh57vef5jm5aeskax3q6zi7psgrqyjcdo5kajcm/AF-Q9HKQ0-F1-model_v2.pdb

First NFT owner address (eip-55):

0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F

First NFT owner address (bech32):

genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h

Current NFT ID #489860 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
489860
Accession (UniProt):
Q9HKQ0
Name::
Tritrans,polycis-undecaprenyl-diphosphate synthase (geranylgeranyl-diphosphate specific)
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 Q9HKQ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HKQ0|UPPS_THEAC Tritrans,polycis-undecaprenyl-diphosphate synthase (geranylgeranyl-diphosphate specific) OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=uppS PE=3 SV=1 MSVSNKLGDLASKVYENVLLEEVKKYPRPRHIGIITDGNRRYARNVGISENEGHVKGKEKVEEVVDWCMELDIRIVTFYAFSTENFRRSPEEVDFLFHLIDNAFKSLLKDERVYKNRINVKVIGNLSILPAYLRQTIHIVEETTKNFNNYQLNLAIGYGGREEILDAIKRITRDAMDGKLNIDELDEEKFRMYLYDGRIPDPDLILRTSGEERISNFLLWQSAYSELYFSDVYWPEFSKLDFLRAIYSYQRRQRRFGR