Q5HLZ2 AF NFT

Probable glucose uptake protein GlcU

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeielscpbmorkmt6jqp4wg6fopwsj5dhsenx3fqawh2kinw7tbqcopu/metadata.json
IPFS of structure file: 
bafybeih76awi5drytksgvurq53wdhjrlvljydop6rrjyra4kib7gpgy2ri/AF-Q5HLZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5AF1007bEEe0CF438B019cDFeDD7CfAd3AB7afA8
First NFT owner address (bech32): 
genesis1ttcsq7lwur858zcpnn07m47045at0tagkx8p7p
Current NFT ID #147883 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
147883
Accession (UniProt):
Q5HLZ2
Name::
Probable glucose uptake protein GlcU
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS EPIDERMIDIS (STRAIN ATCC 35984 / RP62A)

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 Q5HLZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5HLZ2|GLCU_STAEQ Probable glucose uptake protein GlcU OS=Staphylococcus epidermidis (strain ATCC 35984 / RP62A) OX=176279 GN=glcU PE=3 SV=1 MQIVDFLIALLPALFWGSVVIINVFVGGGPYNQIRGTTLGTLFIGFSLLATGHAAFDNLTVIIVGLVSGALWAFGQGNQLKSVHLIGVSKTMPISTGMQLVGTTLFSAIFLGEWSTIVQVVMGLIAMILLVVGISLTSLKAKSEGKSDNPEFKKAMGILLLSTIGYVGYVVLGDIFGVSGTDALFFQSIGMAIGGLILSMNHNTSIKSTALNLIPGVIWGIGNLFMFYSQPKVGVATSFSLSQLLVIVSTLGGIFILGEKKDRRQMIGIWSGIIVIVIASIILGNLK