Q6G765 AF NFT

Probable glucose uptake protein GlcU

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiffnoheftrbnlx662uj7wpjb34mvweynd5ca43edixug5jsvi2v44/metadata.json
IPFS of structure file: 
bafybeibycexbj3lta43ikm4p5eataq7zhqy3pkprsjouf3sggswvacavqi/AF-Q6G765-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4191C26e46CD82B225Fe6ff6B36C2C4F7128Af41
First NFT owner address (bech32): 
genesis1gxguymjxekptyf07dlmtxmpvfacj3t6panw0uk
Current NFT ID #147881 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
147881
Accession (UniProt):
Q6G765
Name::
Probable glucose uptake protein GlcU
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN MSSA476)

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 Q6G765 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6G765|GLCU_STAAS Probable glucose uptake protein GlcU OS=Staphylococcus aureus (strain MSSA476) OX=282459 GN=glcU PE=3 SV=1 MQFLDFLIALLPALFWGSVVLINVFVGGGPYNQIRGTTLGALIVGLGLLITGFAKFNNPTVIIVGLISGALWAFGQANQLKSISLIGVSNTMPVSTGMQLVGTTLFSVIFLGEWSSMTQIIFGLIAMILLVTGVALTSLKAKNERQSDNPEFKKAMGILIVSTVGYVGFVVLGDIFGVGGTDALFFQSVGMAIGGFILSMNHKTSLKSTALNLLPGVIWGIGNLFMFYSQPKVGVATSFSLSQLLVIVSTLGGIFILGERKDRRQMTGIWAGIIIIVIAAIILGNLK