Q816V0 AF NFT

Probable glucose uptake protein GlcU

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia73s5yl5cl3maz63hn2g7m4djszunok52j2oco4c2bvltiwkgiwy/metadata.json
IPFS of structure file: 
bafybeifj77loudtlggjyndni2pbuavtclqrbempeotvylic56fqolqfdvy/AF-Q816V0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1eBb44B6c577425B34b37Db0713609C3BAfA8e9a
First NFT owner address (bech32): 
genesis1r6a5fdk9wap9kd9n0kc8zdsfcwa04r560ulxup
Current NFT ID #147873 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
147873
Accession (UniProt):
Q816V0
Name::
Probable glucose uptake protein GlcU
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q816V0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q816V0|GLCU_BACCR Probable glucose uptake protein GlcU OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=glcU PE=3 SV=1 MMDIFLAILPAIFWGSIVLFNVKLGGGPYSQTLGTTFGALIFSIVVYIFMKPVLTPTVIGVGVVSGLFWALGQANQLKSIDLMGVSRTMPISTGLQLVATTLFGVIVFHEWSTTISVVLGILALVCIIIGVILTSLQSEEEKNAEQAANFKRGIVILLISTVGYLVYVVVIRLFNVDGWSALLPQAVGMVLGGILLTFKHHPFNKYAIRNIIPGLIWAAGNMFLFISQPRVGVATSFSLSQMGIIISTLGGILILGEKKTKRQLTGIVVGIVFIIAAGIMLGIAKS