Q2P755 AF NFT

Phosphomethylpyrimidine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidgrgbmmwvo5fu3h4rjwnb64b7hdj7owt6ret5b4qetizykq7n6ji/metadata.json
IPFS of structure file: 
bafybeic34qwstv55qieqctmjlrgrwnrwubxxd5eweax4hgff2uxvplxrpq/AF-Q2P755-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x14bA5374927c804EC19D8Ad4bDC3A9511F0B91db
First NFT owner address (bech32): 
genesis1zja9xayj0jqyasva3t2tmsaf2y0shywmuhyacd
Current NFT ID #463295 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
463295
Accession (UniProt):
Q2P755
Name::
Phosphomethylpyrimidine synthase
Experimental Method:
Predicted structure
Sequence source:
Xanthomonas oryzae pv. oryzae (strain MAFF 311018)

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 Q2P755 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2P755|THIC_XANOM Phosphomethylpyrimidine synthase OS=Xanthomonas oryzae pv. oryzae (strain MAFF 311018) OX=342109 GN=thiC PE=3 SV=1 MNAAPTVLQQQAQSLSEAVTQPIPGSRKIFVQGSRADLQVPMREIALTRTPTLFGGEENPPLSVYDTSGPYTDPQVAIDLAVGLAPLRAHWIAERGDTVALDGLSSSFGRGREHDARLDAVRFPARRLPRVAREGANVTQMHYARRGIITPEMEYVAIRENQRLEAVTDASLRKQHPGEAFGASIQQRITPEFVREEIARGRAILPNNINHPESEPMIIGRNFLTKINANIGNSAVSSGIAEEVEKLVWSIRWGGDTVMDLSTGKHIHETREWIIRNSPVPIGTVPIYQALEKVDGRAEALTWEIFRDTLIEQAEQGVDYFTIHAGVLLRYVPLTAKRVTGIVSRGGSIMAKWCLAHHKENFLYTHFEDICQIMKAYDVAFSLGDGLRPGCIADANDAAQFGELETLGELTKLAWKHDVQTMIEGPGHVPMQLIKENMDKQLRECGEAPFYTLGPLTTDIAPGYDHITSAIGAAMIGWFGTAMLCYVTPKEHLGLPNRQDVRDGIMAYKIAAHAADLAKGHPGAQVRDNALSKARFEFRWDDQFHLGLDPEKAKEFHDETLPKDAHKLAHFCSMCGPHFCSMKITQDVRDYAAEHGMDDAQALSTGMQEKSAQFLAQGAQVYRPM