Q2KDF4 AF NFT

Undecaprenyl-diphosphatase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawppje2ix3elkzx2jttyzc222ieqmsfak2vbkcducv7ia72jnqmu/metadata.json
IPFS of structure file: 
bafybeibelytsy3nau2y676xavde4sgbqnyznvhxt3fazoovrjucffk6lem/AF-Q2KDF4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x45c0Ec32B09adb915b7685B3d9063C89E41866C1
First NFT owner address (bech32): 
genesis1ghqwcv4sntdezkmkskeajp3u38jpsekpsy3u5k
Current NFT ID #489606 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
489606
Accession (UniProt):
Q2KDF4
Name::
Undecaprenyl-diphosphatase
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM ETLI (STRAIN CFN 42 / ATCC 51251)

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 Q2KDF4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2KDF4|UPPP_RHIEC Undecaprenyl-diphosphatase OS=Rhizobium etli (strain CFN 42 / ATCC 51251) OX=347834 GN=uppP PE=3 SV=1 MDYINAAILGVIEGITEFLPISSTGHLIIAEQWLGHRSDMFNIVIQAGAILAVTIIYWRRLLDLVLGWREPENRDYAAKLIVAFLITAILGLVVKKLGFELPETATPIAWALIIGGIWMIFAEWAAARRPPHKQITWLVAILVGIAQIVAGVFPGTSRSGATIFVALLAGTGNRAAATEFAFLVGIPTMYAASGYELLKTFKDGGAAGEDWTALAIAFVVSTIVAFIAVKWLLAYIRSNRFTLFAIYRIILGVLLLGMTATGMIA