Q65FP0 AF NFT

Undecaprenyl-diphosphatase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibm5vq76e6povqi5tm2nhid5cduuoqf6c6cpttoifjucluhkflxb4/metadata.json
IPFS of structure file: 
bafybeibgcrvogspz2xmgqlugovo5cxlmyi6ioc5pnftlpbnhxubtmta5ga/AF-Q65FP0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3
First NFT owner address (bech32): 
genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx
Current NFT ID #489219 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
489219
Accession (UniProt):
Q65FP0
Name::
Undecaprenyl-diphosphatase 2
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65FP0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65FP0|UPPP2_BACLD Undecaprenyl-diphosphatase 2 OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=uppP2 PE=3 SV=1 MNIWDIIVAIILGIVEGLTEYAPVSSTGHMIIVDDVWLKSKELLTPEAANTFKVVIQLGSILAVAFVFKDRILNLLGMKKNITEEQKSGNRLSIAQIAVGLVPAAVLGFLFEDYIDQYLFSVRTVAVGLIAGAVLMLAADWINRRKDTTDSVDRMTYKQALGMGLFQCLALWPGFSRSGSTISGGVILGLSHRAAADFTFIMAIPIMMGASLLSLIKNWAYLSADLLPFFIAGFISAFIVALFVVRFFLRLINKIKLVPFAIYRIVLGLLLFILFL