Q4ZZ08 AF NFT

Phosphomethylpyrimidine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiauotmztvl6dm437yakqv7cmmdsvv6botrrmxxviqxitho3dygqwy/metadata.json
IPFS of structure file: 
bafybeie7b6f74mgkcs3fx2rosslqzzzp767zchvseupk7l4uuq7ockkciq/AF-Q4ZZ08-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x10d32b192C4f99E6DAa9fBCb71097F3EdA1D0CAC
First NFT owner address (bech32): 
genesis1zrfjkxfvf7v7dk4fl09hzztl8mdp6r9vd6ufn7
Current NFT ID #463179 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
463179
Accession (UniProt):
Q4ZZ08
Name::
Phosphomethylpyrimidine synthase
Experimental Method:
Predicted structure
Sequence source:
Pseudomonas syringae pv. syringae (strain B728a)

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 Q4ZZ08 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4ZZ08|THIC_PSEU2 Phosphomethylpyrimidine synthase OS=Pseudomonas syringae pv. syringae (strain B728a) OX=205918 GN=thiC PE=3 SV=1 MSIKAKNAAHLRESAQVDSGSVQPFTRSQKIYVQGSRPDIRVPMREITLDVTPTDFGGEINAPVTVYDTSGPYTDPNVIIDVRKGLADVRSPWIDSRNDTERLPGLSSNFGQQRLSDAELTALRFAHVRNPRRAKAGANVSQMHYARQGIITAEMEYVAIRENMKLQEARAAGLLTQQHAGHSFGASIPKEITAEFVREEIARGRAIIPANINHVELEPMIIGRNFLVKINGNIGNSALGSSIEEEVAKLTWGIRWGSDTVMDLSTGKHIHETREWIIRNSPVPIGTVPIYQALEKVGGAAEDLTWELFRDTLIEQAEQGVDYFTIHAGVLLRYVPLTAKRVTGIVSRGGSIMAKWCLAHHKENFLYTHFEDICEIMKAYDVSFSLGDGLRPGSIADANDAAQFGELETLGELTKIAWKHDVQTMIEGPGHVPMQLIKENMDKQLECCDEAPFYTLGPLTTDIAPGYDHITSGIGAAMIGWFGCAMLCYVTPKEHLGLPNKDDVKTGIITYKIAAHAADLAKGHPGAQIRDNALSKARFEFRWEDQFNLGLDPDTARSYHDETLPKDSAKVAHFCSMCGPKFCSMKITQEVREYAANQRIEAVDVDVAKGLAEQAERFKQEGSQLYKKV