Q7A807 AF NFT

PTS system glucose-specific EIICBA component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiceuci7cf64yyqgu72n3ixrcnc2qomv7r6aboycz7smihup3lj6w4/metadata.json
IPFS of structure file: 
bafybeieff5r2i6r6lg56crkekfg3opeaw2mgb2w5wv5r7avbfce77nltz4/AF-Q7A807-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x542cf37c74b0D14016ac38c89Ead959487C21d2B
First NFT owner address (bech32): 
genesis12sk0xlr5krg5q94v8ryfatv4jjruy8ftzfqzwk
Current NFT ID #318470 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318470
Accession (UniProt):
Q7A807
Name::
PTS system glucose-specific EIICBA component
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN N315)

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 Q7A807 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7A807|PTG3C_STAAN PTS system glucose-specific EIICBA component OS=Staphylococcus aureus (strain N315) OX=158879 GN=ptsG PE=1 SV=1 MRKKLFGQLQRIGKALMLPVAILPAAGLLLAIGTAIQGEALQHYLPFIQNGGVQNVAKLMTAAGSIIFENLPMIFALGVAIGLAGGDGVAAIAAFVGYIIMNKTMGDFLQVTPKNVTDPASGYASILGIPTLQTGVFGGIIIGALAAWCYNKFYNINLPSYLGFFAGKRFVPIMMATTSFILAFPMALIWPTIQSGLNAFSTGLLDSNTGVAVFLFGFIKRLLIPFGLHHIFHAPFWFEFGSWKNAAGEIIHGDQRIFIEQIREGAHLTAGKFMQGEFPVMMFGLPAAALAIYHTAKPENKKVVAGLMGSAALTSFLTGITEPLEFSFLFVAPLLFFIHAVLDGLSFLTLYLLDVHLGYTFSGGFIDYVLLGVLPNKTQWWLVIPVGLVYAVIYYFVFRFLIVKLKYKTPGREDKQSQAVTASATELPYAVLEAMGGKANIKHLDACITRLRVEVNDKSKVDVPGLKDLGASGVLEVGNNMQAIFGPKSDQIKHEMQQIMNGQVVENPTTMEDDKDETVVVAEDKSATSELSHIVHAPLTGEVTPLSEVPDQVFSEKMMGDGIAIKPSQGEVRAPFNGKIQMIFPTKHAIGLVSDSGLELLIHIGLDTVKLNGEGFTLHVEEGQEVKQGDLLINFDLDYIRNHAKSDITPIIVTQGNITNLDFKQGEHGNISFGDQLFEAK