Q5HJI3 AF NFT

PTS system glucose-specific EIICBA component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicflc3nv6wbith5ibk5722qcmdzivgfwwqre7hdoy5okeafuoacqu/metadata.json
IPFS of structure file: 
bafybeif2xkesobykrvr5e7ghx2al3o3ochkncm7mgpear6seddxbvl7xly/AF-Q5HJI3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97AD768995300e55b4CD8aaef33b93A4B7B3153A
First NFT owner address (bech32): 
genesis1j7khdzv4xq89tdxd32h0xwun5jmmx9f6clgux3
Current NFT ID #318467 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318467
Accession (UniProt):
Q5HJI3
Name::
PTS system glucose-specific EIICBA component
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN COL)

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 Q5HJI3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5HJI3|PTG3C_STAAC PTS system glucose-specific EIICBA component OS=Staphylococcus aureus (strain COL) OX=93062 GN=ptsG PE=3 SV=1 MRKKLFGQLQRIGKALMLPVAILPAAGLLLAIGTAMQGESLQHYLPFIQNGGVQTVAKLMTGAGGIIFDNLPMIFALGVAIGLAGGDGVAAIAAFVGYIIMNKTMGDFLQVTPKNIGDPASGYASILGIPTLQTGVFGGIIIGALAAWCYNKFYNINLPSYLGFFAGKRFVPIMMATTSFILAFPMALIWPTIQSGLNAFSTGLLDSNTGVAVFLFGFIKRLLIPFGLHHIFHAPFWFEFGSWKNAAGEIIHGDQRIFIEQIREGAHLTAGKFMQGEFPVMMFGLPAAALAIYHTAKPENKKVVAGLMGSAALTSFLTGITEPLEFSFLFVAPLLFFIHAVLDGLSFLTLYLLDLHLGYTFSGGFIDYFLLGILPNKTQWWLVIPVGLVYAVIYYFVFRFLIVKLKYKTPGREDKQSQAATASATELPYAVLEAMGGKANIKHLDACITRLRVEVNDKSKVDVPGLKDLGASGVLEVGNNMQAIFGPKSDQIKHEMQQIMNGQVVENPTTMEDDKDETVVVAEDKSATSELSHIVHAPLTGEVTPLSEVPDQVFSEKMMGDGIAIKPSQGEVRAPFNGKVQMIFPTKHAIGLVSDSGLELLIHIGLDTVKLNGEGFTLHVEEGQEVKQGDLLINFDLDYIRNHAKSDITPIIVTQGNITNLDFKQGEHGNISFGDQLFEAK