Q8CNF2 AF NFT

Probable glucose uptake protein GlcU

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif2h35giaaf2vwmun63gysjm7bti3xm4p5gubsy33szbvmr7vge3m/metadata.json
IPFS of structure file: 
bafybeidad6gzhmfykqqfhqgegzk3uhfipzs53lc55x6z4gyfmvm77qzqwy/AF-Q8CNF2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #147884 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
147884
Accession (UniProt):
Q8CNF2
Name::
Probable glucose uptake protein GlcU
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS EPIDERMIDIS (STRAIN ATCC 12228 / FDA PCI 1200)

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 Q8CNF2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8CNF2|GLCU_STAES Probable glucose uptake protein GlcU OS=Staphylococcus epidermidis (strain ATCC 12228 / FDA PCI 1200) OX=176280 GN=glcU PE=3 SV=1 MQIVDFLIALLPALFWGSVVIINVFVGGGPYNQIRGTTLGTLFIGFSLLATGHAAFDNLTVIIVGLVSGALWAFGQGNQLKSVHLIGVSKTMPISTGMQLVGTTLFSAIFLGEWSTIVQVVMGLIAMILLVVGISLTSLKAKSEGKSDNPEFKKAMGILLLSTIGYVGYVVLGDIFGVSGTDALFFQSIGMAIGGLILSMNHNTSIKSTALNLIPGVIWGIGNLFMFYSQPKVGVATSFSLSQLLVIVSTLGGIFILGEKKDRRQMIGIWSGIIVIVIASIILGNLK