Q31JC9 AF NFT

Phosphomethylpyrimidine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidpmnkp24aeuvjscwhhvxb6lqcren5tlpes5keb2v5vw6lxqqpcii/metadata.json
IPFS of structure file: 
bafybeifsx756435wxq5fn56f7xrmg4d7wifyi73orzwo6gxu24uuvbzkym/AF-Q31JC9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8a4Ce783c76eba0951366Db8621c15D90cD3B4a6
First NFT owner address (bech32): 
genesis13fxw0q78d6aqj5fkdkuxy8q4myxd8d9xxvnmad
Current NFT ID #463073 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
463073
Accession (UniProt):
Q31JC9
Name::
Phosphomethylpyrimidine synthase
Experimental Method:
Predicted structure
Sequence source:
Hydrogenovibrio crunogenus (strain DSM 25203 / XCL-2)

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 Q31JC9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q31JC9|THIC_HYDCU Phosphomethylpyrimidine synthase OS=Hydrogenovibrio crunogenus (strain DSM 25203 / XCL-2) OX=317025 GN=thiC PE=3 SV=1 MSTFKNALPASNDILTRDPLPASHKTYISGEIHPEIKVPMRAITLTNGETVTVYDTSGPYTDPNIEIDVAQGIPTVRKDWIANRNDVEAYEGRIIDPKDNGYKNRTQMETAIAGASSLMRQPLRAKAGQNVTQLHYARQGIITPEMEFIAIRENQRRDMTRRYLNDPEREARLKGENFGANLLEDITPEFVRKEVAEGRAVIPANINHPESEPMIIGRNFLVKVNANIGNSATTSSIGEEVEKMVWATRWGADTVMDLSTGQNIHTTRDWILRNAPVPIGTVPIYQALEKVNGVAEDLTWEIFRDTLIEQAEQGVDYFTIHAGVLLRYVPMTAKRVTGIVSRGGSIMAKWCIAHHKENFLYTHFEDICEILKQYDVSFSLGDGLRPGSVADANDEAQISELKTLGELTQIAWKHDVQVIIEGPGHVPMHMIKENMDKQLEYCHEAPFYTLGPLTTDIAPGYDHITSGIGAAMIGWFGTAMLCYVTPKEHLGLPNRDDVKEGLITYKLAAHAADIAKGHPGARSRDDALSQARFEFRWEDQFNLGLDPEKARAFHDETLPRDSAKVAHFCSMCGPKFCSMKISQEVRDYADKQGLSTEDAVNKGMEEMSQTFKNQGSEVYVNVEDITKTGS