P37083 AF NFT

PTS system sorbose-specific EIID component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihaj74hh7s5s4mks72pwn2a33mdxfmb2fwdb4oh7mme3hc4dmnp2i/metadata.json
IPFS of structure file: 
bafybeifhavuao7usnjwfd7yxoa5emkclvij3wluoq7ljbqsvg6ds5yckdm/AF-P37083-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #319993 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
319993
Accession (UniProt):
P37083
Name::
PTS system sorbose-specific EIID component
Experimental Method:
Predicted structure
Sequence source:
KLEBSIELLA PNEUMONIAE

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 P37083 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P37083|PTRD_KLEPN PTS system sorbose-specific EIID component OS=Klebsiella pneumoniae OX=573 GN=sorM PE=2 SV=1 MEQKKITQGDLVSMFLRSNLQQASFNFERIHGLGFCYDMIPAIKRLYPLKADQVAALKRHLVFFNTTPAVCGPVIAVTAAMEEARANGAAIDDGAINGIKVGLMGPLAGVGDPLVWGTLRPITAALGASLALSGNILGPLLFFFIFNAVRLAMKWYGLQLGFRKGVNIVSDMGGNLLQKLTEGASILGLFVMGVLVTKWTTINVPLVVSQTPGADGATVTMTVQNILDQLCPGLLALGLTLLMVRLLNKKVNPVWLIFALFGLGIIGNALGFLS