Q9RB37 AF NFT

Undecaprenyl-diphosphatase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib3qbbfhp4t4wpzu5d43vtdeg7ico7bphtx6gailnicxnyvkfyzky/metadata.json
IPFS of structure file: 
bafybeiamn7krya3hpxtffo453mg4rdh26m7v7kmdxepeg5ql4hk5anvbpy/AF-Q9RB37-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #489432 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
489432
Accession (UniProt):
Q9RB37
Name::
Undecaprenyl-diphosphatase
Experimental Method:
Predicted structure
Sequence source:
Flavobacterium johnsoniae (strain ATCC 17061 / DSM 2064 / JCM 8514 / NBRC 14942 / NCIMB 11054 / UW101)

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 Q9RB37 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RB37|UPPP_FLAJ1 Undecaprenyl-diphosphatase OS=Flavobacterium johnsoniae (strain ATCC 17061 / DSM 2064 / JCM 8514 / NBRC 14942 / NCIMB 11054 / UW101) OX=376686 GN=uppP PE=3 SV=1 MNTLQAIVLAVIEGITEFLPVSSTGHMIIASSFFGIAHEDFTKLFTIVIQLGAILSVVVLYFKRFFQTLDFYFKLLVAFIPAVVLGLLLSDFIDGLLENPVTVAVSLLIGGLILLKVDEWFNNPNAAETSQKITYLQALKIGLFQCIAMIPGVSRSGASIVGGMSQKLSRTTAAEFSFFLAVPTMLGATVKKCYDYYKAGFELSHDQVNILIIGNVVAFIVALLAIKTFISFLTKNGFKVFGYYRIIAGIILLLIHFFIHPLTII