Q8EED7 AF NFT

Phosphomethylpyrimidine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia55l64nloizect55lkadplqamt5uhbberwx5cdq6wjmi3ry6boiq/metadata.json
IPFS of structure file: 
bafybeiayqvkvu7gs6yoybpa23fnniln3ytppw7kuqfggkqg6bkodwzb44q/AF-Q8EED7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9F605311B7e26e76340423EfAfbE5e2EFc7A0b7C
First NFT owner address (bech32): 
genesis1nas9xydhufh8vdqyy0h6l0j79m785zmurgry0u
Current NFT ID #463224 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
463224
Accession (UniProt):
Q8EED7
Name::
Phosphomethylpyrimidine synthase
Experimental Method:
Predicted structure
Sequence source:
SHEWANELLA ONEIDENSIS (STRAIN MR-1)

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 Q8EED7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8EED7|THIC_SHEON Phosphomethylpyrimidine synthase OS=Shewanella oneidensis (strain MR-1) OX=211586 GN=thiC PE=3 SV=1 MSSLESSSESIAVNILGQTNRRVARAQAQAFIDTLKPLQHPNSQKLYLQGSRADLRVGMRQILQTDTRIGGRAAAPNVEKNPPIPVYDCAGPYSDPAAQINVRQGLAKLRLPWIIERQDTEVLDCTTSDFTQQRLKDDGLDHLRFEAGSSAIIRPRRALPGKRVSQLHYARQGIITPEMEYVAIRENMALADVQDEILNRRGQGESFGAVIGKPITPEFVRDEIARGRAIIPLNINHPEAEPMTIGRNFLVKVNANIGNSAVTSSIEEEVEKLVWSTRWGADTVMDLSTGRYIHETREWIIRNSPVPIGTVPIYQALEKVNGVAEHLTWEVFRDTLIEQAEQGVDYFTIHAGVLLRYVPMTAKRVTGIVSRGGSIMAKWCLSHHQENFLYTHFREICELCVAYDVSLSLGDGMRPGSIADANDEAQFAELETLGELVNIAWEYDVQTIIEGPGHIPMQLIKENMDKQLIHCAEAPFYTLGPQITDIAPGYDHFTSGIGAAMIAWYGCAMLCYVTPKEHLGLPNKQDVKQGLIAYKIAAHAADIAKGHPGAQIRDNALSKARFEFRWEDQYNLGLDPDTARAYHDESLPQESAKVAHFCSMCGPKFCSMKITQDVRDYAASLEADAKAQSLAAETDGALAPLGSVQQVKSGHSELSHIDAELNYIAVKTQDELTAAMAQKSAEFAALGAKLYLPLDNANAANELAKHKDGAKLQSKTQVAKV