Q2FK73 AF NFT

PTS system glucose-specific EIICBA component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiauo2ins4sx3ah4bwvq2nzqkbxq55zo3swevgeniwedolym2wiazm/metadata.json
IPFS of structure file: 
bafybeihisjsn43loqbxhyuqaeofdbiootrbtye2gekextodbnkrp7zejq4/AF-Q2FK73-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE2FAAD9Bd269b0F591a298c8d3F4EEcE83134D70
First NFT owner address (bech32): 
genesis1uta2mx7jdxc0tydznryd8a8we6p3xnts3l090d
Current NFT ID #318463 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
318463
Accession (UniProt):
Q2FK73
Name::
PTS system glucose-specific EIICBA component
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN USA300)

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 Q2FK73 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2FK73|PTG3C_STAA3 PTS system glucose-specific EIICBA component OS=Staphylococcus aureus (strain USA300) OX=367830 GN=ptsG PE=3 SV=1 MRKKLFGQLQRIGKALMLPVAILPAAGLLLAIGTAMQGESLQHYLPFIQNGGVQTVAKLMTGAGGIIFDNLPMIFALGVAIGLAGGDGVAAIAAFVGYIIMNKTMGDFLQVTPKNIGDPASGYASILGIPTLQTGVFGGIIIGALAAWCYNKFYNINLPSYLGFFAGKRFVPIMMATTSFILAFPMALIWPTIQSGLNAFSTGLLDSNTGVAVFLFGFIKRLLIPFGLHHIFHAPFWFEFGSWKNAAGEIIHGDQRIFIEQIREGAHLTAGKFMQGEFPVMMFGLPAAALAIYHTAKPENKKVVAGLMGSAALTSFLTGITEPLEFSFLFVAPLLFFIHAVLDGLSFLTLYLLDLHLGYTFSGGFIDYFLLGILPNKTQWWLVIPVGLVYAVIYYFVFRFLIVKLKYKTPGREDKQSQAATASATELPYAVLEAMGGKANIKHLDACITRLRVEVNDKSKVDVPGLKDLGASGVLEVGNNMQAIFGPKSDQIKHEMQQIMNGQVVENPTTMEDDKDETVVVAEDKSATSELSHIVHAPLTGEVTPLSEVPDQVFSEKMMGDGIAIKPSQGEVRAPFNGKVQMIFPTKHAIGLVSDSGLELLIHIGLDTVKLNGEGFTLHVEEGQEVKQGDLLINFDLDYIRNHAKSDITPIIVTQGNITNLDFKQGEHGNISFGDQLFEAK