P20166 AF NFT

PTS system glucose-specific EIICBA component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigdkj64e4igkjaq6u5surbzhueivj2roybtsq6u4c7ksqjg76yo4y/metadata.json
IPFS of structure file: 
bafybeibygucnf6euujglr27qbum6ww6bucepoifinhqdguvygnewvaemru/AF-P20166-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa130963659F9ADED1C735201Bb05F57675e205B8
First NFT owner address (bech32): 
genesis15ycfvdjelxk768rn2gqmkp04we67ypdcggkd5v
Current NFT ID #318457 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318457
Accession (UniProt):
P20166
Name::
PTS system glucose-specific EIICBA component
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 P20166 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P20166|PTG3C_BACSU PTS system glucose-specific EIICBA component OS=Bacillus subtilis (strain 168) OX=224308 GN=ptsG PE=1 SV=2 MFKALFGVLQKIGRALMLPVAILPAAGILLAIGNAMQNKDMIQVLHFLSNDNVQLVAGVMESAGQIVFDNLPLLFAVGVAIGLANGDGVAGIAAIIGYLVMNVSMSAVLLANGTIPSDSVERAKFFTENHPAYVNMLGIPTLATGVFGGIIVGVLAALLFNRFYTIELPQYLGFFAGKRFVPIVTSISALILGLIMLVIWPPIQHGLNAFSTGLVEANPTLAAFIFGVIERSLIPFGLHHIFYSPFWYEFFSYKSAAGEIIRGDQRIFMAQIKDGVQLTAGTFMTGKYPFMMFGLPAAALAIYHEAKPQNKKLVAGIMGSAALTSFLTGITEPLEFSFLFVAPVLFAIHCLFAGLSFMVMQLLNVKIGMTFSGGLIDYFLFGILPNRTAWWLVIPVGLGLAVIYYFGFRFAIRKFNLKTPGREDAAEETAAPGKTGEAGDLPYEILQAMGDQENIKHLDACITRLRVTVNDQKKVDKDRLKQLGASGVLEVGNNIQAIFGPRSDGLKTQMQDIIAGRKPRPEPKTSAQEEVGQQVEEVIAEPLQNEIGEEVFVSPITGEIHPITDVPDQVFSGKMMGDGFAILPSEGIVVSPVRGKILNVFPTKHAIGLQSDGGREILIHFGIDTVSLKGEGFTSFVSEGDRVEPGQKLLEVDLDAVKPNVPSLMTPIVFTNLAEGETVSIKASGSVNREQEDIVKIEK