Q8Y3G3 AF NFT

Phosphoenolpyruvate carboxykinase [GTP]

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibwlfjsanevna3ekgt57zqj4fctyu6rdtjbzzp6eyzhvgq7n5kq3a/metadata.json
IPFS of structure file: 
bafybeiemkr3yopjkarwfulafsgjfnjohzjkddc6yosdtasisgxplvoe73a/AF-Q8Y3G3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1309d1b5deb373471d3FB243145F68f72a78D518
First NFT owner address (bech32): 
genesis1zvyardw7kde5w8flkfp3ghmg7u4834gchqzkg6
Current NFT ID #289854 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
289854
Accession (UniProt):
Q8Y3G3
Name::
Phosphoenolpyruvate carboxykinase [GTP]
Experimental Method:
Predicted structure
Sequence source:
Ralstonia solanacearum (strain GMI1000)

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 Q8Y3G3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8Y3G3|PCKG_RALSO Phosphoenolpyruvate carboxykinase [GTP] OS=Ralstonia solanacearum (strain GMI1000) OX=267608 GN=pckG PE=3 SV=1 MNQPVMQGVPALNVPAYVKHARLVAWVSEIAALTKPERVVWCDGSQEEYDRLCAEMVAAGTLKQLNPAKRKNSYLALSDPSDVARVEDRTFICSQKQEDAGPTNNWTAPAEMRQTLNGLFDGCMRGRTLYVVPFSMGPLGSPIAHIGVELSDSPYVAVNMRIMTRMGRAVYDVLGADGEFVPCVHTVGKPLAAGEQDVPWPCNPTKYIVHFPETREIWSFGSGYGGNALLGKKCFALRIASTMGRDQGWLAEHMLILGVTSPEGKTYHVAAAFPSACGKTNFAMLIPPAGFDGWKVTTIGDDIAWIKPRQDANGQTRLYAINPEAGFFGVAPGTGEKTNFNAMATLKENVIFTNVALTDDGDVWWEGMTDTPPAHLTDWQGQDWTPAIAKETGRKAAHPNSRFTAPAAQCPSIDPEWDNPAGVAIDAFIFGGRRSTTVPLVTEARDWTEGVYMAATMGSETTAAAVGQQGVVRRDPFAMLPFCGYNMADYFAHWLKLGDQLAKSGAELPKIFCVNWFRKDEQGRFVWPGFGENMRVLKWMIDRIEGQARGDEHVFGVSPRYEELRWDGLDFSAEQFAKVISLDAQAWQQELTLHAELFAQLAHHLPQALPEAKARLEARLQG