Q99X32 AF NFT

PTS system glucose-specific EIICBA component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibu2k2hy4sjp2udfkeg33kbwmlldvgzeovvertlsjrydbso5gf7em/metadata.json
IPFS of structure file: 
bafybeiczvxuddvqkwtl5uswgkk2vryp5ocrv47n6yjmr3zvhxus7qkeqii/AF-Q99X32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4eB83b6340c032CC7AcdbC262D37E9627F422205
First NFT owner address (bech32): 
genesis1f6urkc6qcqevc7kdhsnz6dlfvfl5ygs9kgldax
Current NFT ID #318469 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318469
Accession (UniProt):
Q99X32
Name::
PTS system glucose-specific EIICBA component
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN MU50 / ATCC 700699)

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 Q99X32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q99X32|PTG3C_STAAM PTS system glucose-specific EIICBA component OS=Staphylococcus aureus (strain Mu50 / ATCC 700699) OX=158878 GN=ptsG PE=3 SV=1 MRKKLFGQLQRIGKALMLPVAILPAAGLLLAIGTAIQGEALQHYLPFIQNGGVQNVAKLMTAAGSIIFENLPMIFALGVAIGLAGGDGVAAIAAFVGYIIMNKTMGDFLQVTPKNVTDPASGYASILGIPTLQTGVFGGIIIGALAAWCYNKFYNINLPSYLGFFAGKRFVPIMMATTSFILAFPMALIWPTIQSGLNAFSTGLLDSNTGVAVFLFGFIKRLLIPFGLHHIFHAPFWFEFGSWKNAAGEIIHGDQRIFIEQIREGAHLTAGKFMQGEFPVMMFGLPAAALAIYHTAKPENKKVVAGLMGSAALTSFLTGITEPLEFSFLFVAPLLFFIHAVLDGLSFLTLYLLDVHLGYTFSGGFIDYVLLGVLPNKTQWWLVIPVGLVYAVIYYFVFRFLIVKLKYKTPGREDKQSQAVTASATELPYAVLEAMGGKANIKHLDACITRLRVEVNDKSKVDVPGLKDLGASGVLEVGNNMQAIFGPKSDQIKHEMQQIMNGQVVENPTTMEDDKDETVVVAEDKSATSELSHIVHAPLTGEVTPLSEVPDQVFSEKMMGDGIAIKPSQGEVRAPFNGKIQMIFPTKHAIGLVSDSGLELLIHIGLDTVKLNGEGFTLHVEEGQEVKQGDLLINFDLDYIRNHAKSDITPIIVTQGNITNLDFKQGEHGNISFGDQLFEAK