A9ACX9 AF NFT

Phosphomethylpyrimidine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifgqxvhne6v52y3n247xqdpjl4s26e6evmrxjevopctl3hv4ohoam/metadata.json
IPFS of structure file: 
bafybeifoprbet2mdajyoo7tkoaajvar7mfyybzeaors2imqytzha7nqt7u/AF-A9ACX9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #462954 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
462954
Accession (UniProt):
A9ACX9
Name::
Phosphomethylpyrimidine synthase
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA MULTIVORANS (STRAIN ATCC 17616 / 249)

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 A9ACX9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9ACX9|THIC_BURM1 Phosphomethylpyrimidine synthase OS=Burkholderia multivorans (strain ATCC 17616 / 249) OX=395019 GN=thiC PE=3 SV=1 MNANPKFLSADAHVDAAAVAPLPNSRKVYVTGSQPDIRVPMREITQADTPTGFGGEKNPPIYVYDTSGPYTDPDAKIDIRAGLPALRQRWIEARGDTETLPGLSSQYGRERAADPATADLRFPGLHRNPRRARAGKNVTQMHYARQGIITPEMEFIAIRENQRRAEYLESLKASGPNGAKLAAMMGRQHPGQAFGAAAFGGNAPSEITPEFVRDEVARGRAIIPANINHPESEPMIIGRNFLVKINANIGNSAVTSSIGEEVDKMTWAIRWGGDTVMDLSTGKHIHETREWIIRNSPVPIGTVPIYQALEKVNGKAEELTWEIFRDTLIEQAEQGVDYFTIHAGVRLQYVPLTANRMTGIVSRGGSIMAKWCLAHHKESFLYEHFEEICEIMKAYDVSFSLGDGLRPGSIYDANDEAQLGELKTLGELTQIAWKHDVQVMIEGPGHVPMQLIKENMDLQLDWCKEAPFYTLGPLTTDIAPGYDHITSGIGAAMIGWFGTAMLCYVTPKEHLGLPNKDDVKEGIITYKLAAHAADLAKGHPGAQVRDNALSKARFEFRWEDQFNLGLDPDKAREFHDETLPKDSAKVAHFCSMCGPHFCSMKITQDVREFAAQQGVSEADALQKGMEVKAVEFVKSGSEIYHRQ