Q1LU45 AF NFT

Phosphomethylpyrimidine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaxiyc4drv62aoxkwdhtedncw6bk3k3mfkzfa744oz66rkv4k7goy/metadata.json
IPFS of structure file: 
bafybeihyrkjie3exopfn5ayizotydojhlpzqog2fopauczho3tlr6nqo2e/AF-Q1LU45-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x00015c671bd119DC86Baf28AF2eB830022fb46C1
First NFT owner address (bech32): 
genesis1qqq4cecm6yvaep46729096urqq30k3kp0yml0z
Current NFT ID #462938 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
462938
Accession (UniProt):
Q1LU45
Name::
Phosphomethylpyrimidine synthase
Experimental Method:
Predicted structure
Sequence source:
Baumannia cicadellinicola subsp. Homalodisca coagulata

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 Q1LU45 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1LU45|THIC_BAUCH Phosphomethylpyrimidine synthase OS=Baumannia cicadellinicola subsp. Homalodisca coagulata OX=374463 GN=thiC PE=3 SV=1 MSRSSIPASRRVSRAKAQAFMDSLTGSSYFPNSRRIYLQGKTPSVHVPMREIKLHPTLIGKNGEHYEDNQPIPVYDTSGPYGDPTIAINVRTGLNRLREIWILARQDSEPISNNNNDRQSSDKQLSFTTNYNPRRASYGRCITQLHYARAGIITPEMEFIALRENMGRERISSNVLHQQHLGSNFGAKKADHITAEFVRQEVAAGRAIIPSNINHPESEPMIIGRNFLVKVNANIGNSAVTSSIEEEVEKLVWATRWGADTVMDLSTGSYIHETREWILRNSPVPIGTVPIYQALEKVNGVIENLNWDIFYETLLEQANQGVDYFTIHAGVLKRYVLLTASRLTGIVSRGGSIMAQWSLVHNQENFLYEHFSEICKLCAAYDIALSLGDGLRPGSVQDANDEAQFSELHTLGELTKIAWEYDVQVMIEGPGHIPLHMIERNMTDQLKYCHEAPFYTLGPLTTDIAPGYDHFTSGIGAALIGWFGCAMLCYVTPKEHLGLPNKEDVKQGLIAYKIAAHAADLAKGHPGAQIRDNAMSKARFEFRWEDQFNLALDPFTARMYHDETIPQTAGKLANFCSMCGPKFCSMKLSKKIRNYTNMKNIKTISNSFMNKLDNSGIKNADR