Q667F8 AF NFT

Phosphatidylglycerol--prolipoprotein diacylglyceryl transferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidexxrklm5n4g4d7qve6uap56uyqc4vf4m324cyzkmxkbrbzovr7e/metadata.json
IPFS of structure file: 
bafybeier2eep3tluqgwbyowuhijxb6r5izkkijrtd4j3vxgmaqghsceobi/AF-Q667F8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4656BA45a5CC4E893D71C1807cba37b233e86Ac1
First NFT owner address (bech32): 
genesis1gett53d9e38gj0t3cxq8ew3hkge7s6kp2nuzez
Current NFT ID #213300 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
213300
Accession (UniProt):
Q667F8
Name::
Phosphatidylglycerol--prolipoprotein diacylglyceryl transferase
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 Q667F8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q667F8|LGT_YERPS Phosphatidylglycerol--prolipoprotein diacylglyceryl transferase OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=lgt PE=3 SV=1 MSNSYLAFPKFDPVIFSIGPVSLHWYGLMYLVGFVFAMWLAVRRANKPGSGWTKEEVENLLYAGFLGVFIGGRVGYVLFYNLPMFLDNPLYLFKVWDGGMSFHGGLIGVICVMLWFARRTKRNFFQVADFIAPLIPFGLGAGRLGNFINAELWGRVTTDTPWAMLFPTSRNTDIAIVAADPAKWQAIFNQYGVLPRHPSQLYEMILEGVVLFIILNVFIRKPRPMGSVSGLFLIGYGTFRIIVECFRQPDEQLGLFEGMISMGQILSVPMILAGIIMMIWAYRRPTQKLS