Q13WN4 AF NFT

Phosphomethylpyrimidine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigj7lcci7s7wvuxa6rllcib23rbs6e76o667sc5qfmbb4sfzmuijm/metadata.json
IPFS of structure file: 
bafybeietmpviquem77qqs4im2y362n4rzkd2xqsc7wkllbd65x5vp6bndi/AF-Q13WN4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #463140 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
463140
Accession (UniProt):
Q13WN4
Name::
Phosphomethylpyrimidine synthase
Experimental Method:
Predicted structure
Sequence source:
PARABURKHOLDERIA XENOVORANS (STRAIN LB400)

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 Q13WN4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q13WN4|THIC_PARXL Phosphomethylpyrimidine synthase OS=Paraburkholderia xenovorans (strain LB400) OX=266265 GN=thiC PE=3 SV=1 MNANPKFLSADAHVDEAAVAPLPNSRKVYVTGSRPDIRVPMREISQADTPDSFGGEKNPPVFVYDTSGPYSDPEARIDIRAGLPALRQAWIEERGDTEALTGLSSDFGRERAADTATADLRFQGLHRTPRRAIAGKNVSQMHYARKGIITPEMEYIAIRENQRRAEYLESLKTSGPNGEKLAAMMGRQHPGQAFGASAFGPNGLTEITPEFVREEVARGRAIIPNNINHPESEPMIIGRNFLVKVNANIGNSAVTSSIGEEVDKMTWAIRWGGDTVMDLSTGKHIHETREWIIRNSPVPIGTVPIYQALEKVNGKAEDLTWEIFRDTLIEQAEQGVDYFTIHAGVRLQYVPLTAKRMTGIVSRGGSIMAKWCLAHHKESFLYEHFEDICEIMKAYDVAFSLGDGLRPGSIYDANDEAQLGELKTLGELTQIAWKHDVQTMIEGPGHVPMQLIKENMDLQLEWCDEAPFYTLGPLTTDIAPGYDHITSGIGAAMIGWFGTAMLCYVTPKEHLGLPNKDDVKTGIITYKLAAHAADLAKGHPGAQVRDNALSKARFEFRWEDQFNLGLDPDKAREFHDETLPKDSAKVAHFCSMCGPHFCSMKITQDVREFAAQQGVTDDEALKKGMEVKSIEFMKKGAEIYQRQ