Q667J4 AF NFT

Ditrans,polycis-undecaprenyl-diphosphate synthase ((2E,6E)-farnesyl-diphosphate specific)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigmqv3kq4p6yck5wrzafbzgftruxab5w3yxmtoavbcz5uwb3pjyje/metadata.json
IPFS of structure file: 
bafybeifrotthucnc4576s6wb4rlogsd2tqc4wk5krhkohrao7fsqjxnh2m/AF-Q667J4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9DA50d019C8E3c2eBF003087C8954415D6674d59
First NFT owner address (bech32): 
genesis1nkjs6qvu3c7za0cqxzru392yzhtxwn2ed7xprt
Current NFT ID #489875 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
489875
Accession (UniProt):
Q667J4
Name::
Ditrans,polycis-undecaprenyl-diphosphate synthase ((2E,6E)-farnesyl-diphosphate specific)
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q667J4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q667J4|UPPS_YERPS Ditrans,polycis-undecaprenyl-diphosphate synthase ((2E,6E)-farnesyl-diphosphate specific) OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=uppS PE=3 SV=1 MSPVKEDRANLSPRSPRHVAIIMDGNGRWAKNKGKLRVFGHKAGVKSVRRAVSFAAKHNLDALTLYAFSSENWNRPDQEVTALMELFVRALDSEVKSLHKHNVRLSIIGDISRFSGRLQERIRRSEKLTANNDGLKLNIAANYGGRWDIIQGVRHLAEQVQKGELQPTDISEESLNSYICLHEQSQVDLVIRTGGEHRISNFLLWQIAYAELYFTDVLWPDFDENVFEGALNAFAQRERRFGGTTPIDATAS