C5BTK7 AF NFT

Phosphomethylpyrimidine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib2ujbq3ju4ve45lvjwjco3p5ylcmgwsrvsntacjvtj6635thwfby/metadata.json
IPFS of structure file: 
bafybeieoox2myk7huxulf4zjunfpy4ppgxj7yng7u4stce7izwnegvbpwy/AF-C5BTK7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #463262 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
463262
Accession (UniProt):
C5BTK7
Name::
Phosphomethylpyrimidine synthase
Experimental Method:
Predicted structure
Sequence source:
TEREDINIBACTER TURNERAE (STRAIN ATCC 39867 / T7901)

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 C5BTK7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C5BTK7|THIC_TERTT Phosphomethylpyrimidine synthase OS=Teredinibacter turnerae (strain ATCC 39867 / T7901) OX=377629 GN=thiC PE=3 SV=1 MAANEKTYLSETAKVDQSSVQPFPNSSKIYVEGSRSDIRVPMREISLADTPTDFGGEQNRPVRVYDTSGPYTDPEVQIDLRTGLPDVRSRWINERGDTEALAEKSSLFATQRLNDPALASLRFQHLRTPRRAKSGANVSQMHYARQGIITPEMEYIAIRENMSLQQAREQGVLQEQHAGQAFGAAIPDEITPEFVRSEVARGRAIIPANINHPELEPMIIGRNFLVKINGNIGNSALGSSIEEEVAKLTWGTRWGADTIMDLSTGKNIHETREWIIRNASVPIGTVPIYQALEKVDGIAEDLTWDIFRDTLIEQAEQGVDYFTIHAGVLLRYVPLTAKRVTGIVSRGGSIMAKWCLAHHQENFLYTHFEDICEIMKAYDVSFSLGDGLRPGSIADANDEAQFGELETLGELTKIAWQHDVQTMIEGPGHVPMQMIKENMDKQLRECGEAPFYTLGPLTTDIAPGYDHITSGIGAAMIGWYGCAMLCYVTPKEHLGLPNKDDVKEGIITYKIAAHAADLAKGHPGAQIRDNALSKARFEFRWEDQFNLGLDPDTARAYHDETLPKESAKVAHFCSMCGPKFCSMKITQEVRDYAAEHGTEITPRAPGEAEEVVRMVDVEAEMQKKSDEFRAQGSEIYSKV